Fatimah Abdul Razak
Professor at Department of Geography, faculty of Letters, Universidade do Porto
at Utrecht University
2011 - 2014, Jacobs University Bremen, Physics 2013 , University of Massachusetts Dartmouth, Astrophysics 2014 , University of Northern British Columbia, Glacier Dynamics 2014 - 2015, Robert Bosch GmbH, Corporate Research Department 2015 - 2017, Utrecht University, Climate Physics 2016 , University Center in Svalbard, Geophysics
PhD Student at National Institute of Genomic Medicine
PhD at City University London
I am a Postdoc at the Copenhagen Center for Social Data Science (SODAS) at Copenhagen University. I got my PhD from City, University of London and my Master's in Physics of Complex Systems at Ecole Normale Superieure de Lyon. I am interested in Computational Social Science. My current research focuses on understanding and modelling human mobility behavior combining analysis of experimental data and theoretical modeling. http://lauraalessandretti.weebly.com
Postdoctoral fellow at Ecole Normale Supérieure (Paris)
I achieved the Ph.D. in Theoretical Physics in February 2018 both from the University of Rome Sapienza and the University Paris-Sud XI, under the joined supervision of Giorgio Parisi and Silvio Franz. Then, I moved to Paris for a one-year postdoc working with Francesco Zamponi on the rheology of amorphous solids under shear deformations. Since November 2018 I am a postdoctoral fellow in the team of Giulio Biroli, at École Normale Supérieure in Paris. Part of my project is now focused on the application of advanced disordered system techniques to models of large ecosystems near criticality.
PhD Candidate at Universitat de Barcelona
I am a PhD student in the team of Prof. Albert Dìaz Guilera at the Complexity Lab Barcelona (ClabB) of "Univeristat de Barcelona" and I got both Bachelor and Master Degree in Physics at Sapienza, University of Rome. I work with Multiplex (multilayer networks) to explore different ways of modelling social systems and the dynamics occurring on them. In particular I am interested on how the different social interactions that take place in different contexts contribute in determining our own particular action in a specific circumstance.
Professor at Deakin University
I am a theoretical and mathematical physicist who works in the fields of complex systems, network physiology. mathematical biology, group theoretical methods and mathematical modelling. I have worked in Departments of Physics, Mathematics, Chemistry and now am a Professor of Data Analytics and machine Learning in Deakin University, the School of Information Technology. My areas of research are complex systems in biology, physiology and condensed matter. I have particular interests in dynamical systems, time series, delay differential equations, dynamical and static symmetries in quantum mechanics, solid states and molecules, systems dynamics in physiology, psychology, health and medicine, with particular interests in modelling seep and insomnia, glucose-insulin regulation and diabetes, dementia, depression and quality of life.
Juan de la Cierva Fellow at Universidad Carlos III de Madrid
I am a postdoctoral Juan de la Cierva research fellow affiliated to Carlos III University of Madrid. In 2015, I got a PhD degree in Information Systems from the Faculty of Business and Economics at the University of Lausanne (Switzerland) and a PhD degree in Mathematical Engineering from the Department of Mathematics at the Carlos III University of Madrid (Spain). My undergraduate background is in mathematics and computer science, owning a Bachelor's and Master's degree in Mathematics from the University of Turin, Italy. For more information, you can visit my personal webpage: https://sites.google.com/site/antonionialberto/
Professor at Universitat Rovira i Virgili
Professor at Aristotle University of Thessaloniki
at Fondazione Bruno Kessler
Lila Margarita Bada-Carbajal
PhD in Administrative Sciences and Master of Science with Specialization in Business Administration from the National Polytechnic Institute, México. Degree in Accounting from the Technological Institute of Cerro Azul, Veracruz- México. Member of the National System of Researchers. Currently Professor-Researcher at the Higher Technological Institute of Álamo Temapache, Veracruz-México. Research lines: Productive Chains and Clusters; Competitiveness in MSMEs and Pollution and Alternative Sources of Energy.
Assistant professor at Ghent University
Jan M. Baetens holds an M.Sc. degree in Bioscience Engineering: Land and Forestry Management (2007), and a Ph.D. degree in Applied Biological Sciences (2012). Since October 2017 he is an assistant professor at the Department of Mathematical Modelling, Statistics and Bioinformaics, Ghent University, Belgium, where he is a member of the research unit Knowledge-based Systems (KERMIT). Furthermore, he is an affiliated professor (2009) at the Anton de Kom Universiteit (Suriname) and he is affiliated as visiting professor researcher to the University of São Paulo. He is involved in research in two interlaced research themes, namely the analysis of spatially explicit models and the case-based development of such models. Currently, Jan M. Baetens is supervising eight PhD students who are deploying their activities along the research lines on spatially explicit modelling, he is co-lecturer of two courses at Ghent University (Computational Models and Modelling and Simulation 2), he is lecturer at the Wolfram Science Summer School, and he is author of more than 35 publications in international peer-reviewed journals, 1 book chapter and more than 20 contributions to proceedings of international conferences. He has delivered several lectures at conferences and research institutes, and he has coached more than 20 students at Master level over the years.
SOUMYA JYOTI BANERJEE
Senior Research Fellow at Department of Physics, Bose Institute, Kolkata, India
This is Soumya Jyoti Banerjee from Asutosh College, Kolkata, India. I am submitting my Ph.D. thesis in Applied Mathematics under the guidance of Dr. Soumen Roy, Associate Professor, Department of Physics, Bose Institute, Kolkata, India. My working area is the structural aspects of complex networks and their real world applications. As a network science researcher, I have so far analyzed diverse real world complex networks from the point of view of network metrics. I have also published a paper on: Controllability of networks, Edge based network metrics and information retrieval. Now, I am very much enthusiastic to learn and work on the recently emerged topics of multiplex networks and their real world applications to social, transportation, financial, technological and biological systems. I have tried to work on evolutionary game theory on graphs, financial networks and time series to network mapping.I also want to learn the dynamical processes on complex networks. In near future, I want to investigate the topological properties of interdependent networks. ,
Faculty at City University London
I obtained my PhD in Physics from the Sapienza University of Rome in 2007. Immediately after, I joined the Technical University of Catalonia (UPC) in Barcelona, first as a university postdoc and then as a Juan de la Cierva Fellow. In Jan. 2012, I joined the Laboratory for the Modeling of Socio-technical Systems (MoBS) at Northeastern University in Boston, MA. Since Sept. 2013, I am an Assistant Professor (UK Lecturer) at City University London. My goal is contributing to the understanding of complex systems, at the intersection between network science on the one hand and social, behavioral and cognitive sciences on the other hand.
Alain Barrat, Vice-President
Senior researcher at CNRS
I obtained my PhD in theoretical physics at the university of Paris VI (France) in 1996, under the supervision of M. Mézard. The subject of the thesis was the out-of-equilibrium dynamics of spin glasses. I then spent two years at the Abdus Salam ICTP in Trieste, Italy, as a postdoctoral fellow. In 1998, I entered the National Council for Scientific Research (CNRS) of France with a permanent position as junior researcher. I spent 10 years at the Laboratoire de Physique Théorique at the University of Paris-Sud. I am currently CNRS senior researcher at the Centre de Physique Théorique in Marseille. I am also research scientist at the Institute for Scientific Interchange in Turin, Italy.
Ana Isabel Barros
Principal Scientist at TNO
A.I. Barros is a principal scientist at TNO, fellow at the UvA- Institute for Advanced Study (IAS) and examiner for the Dutch Police Academy. After completing her Master degree on Operational Research and Statistics, she obtained a PhD degree at the Erasmus University Rotterdam in 1995. Her PhD thesis “Discrete and Fractional Programming Techniques for Location Models” received the INFORMS Best Dissertation on Location Analysis of 1995 award. In the last eighteen years she has been actively involved in international defence, security and logistics projects. As Principal Scientist she is responsible for encouraging innovation and knowledge sharing and ensuring technical quality of projects and research programs in the areas of Operational Analysis and Complex Systems. She is currently a member of the board of the Netherlands Platform for Complex Systems (and chairs one of its committees that aims bridging the gap between complexity scientific research and industrial and societal needs) and chair of the NATO research platform on System Analysis and Studies. She is also active in the scientific field where she has published several papers scientific journals and acts as peer-reviewer for both scientific journals as Dutch grant institutions. Her academic experience also includes supervision of several Master and PhD. students, as well teaching, as part of the regular curriculum at several Universities, the Netherlands Defense Academy, the Dutch Defense Intelligence and Security Institute (DIVI) and the Dutch Police Academy. Her involvement in several international (cooperation) projects and activities, together with her academic experience and strong communication skills facilitate the establishment of links between practice and theory in an international environment.
I am a current Phd student at the Center for Complex Networks and Systems Research at Indiana University, USA. I am mostly interested in collective intelligence and decision making. More specifically, my thesis will be focused on early warning indicators of signals of major events with many applications, including biology, collective games, and social media.
Assistant Professor at Central European University
Assistant Professor at the Department of Network and Data Science at Central European University in Budapest. I use my background in statistical physics and network science to investigate and try to solve problems in biology, urban systems and the social sciences. Within the broad domains of networks and complexity science, I am particularly interested in higher-order models of interacting systems, human behavior, and nonlinear dynamics on networks. I am an elected member of the council of the Complex Systems Society (October 2015 - ), and a former Chair (October 2016 - October 2017) and elected member of the advisory board of the Young Complex Systems Society (March 2016 - January 2018). My previous highly interdisciplinary life (reverse chronological order): Research Fellow at the Department of Network and Data Science at Central European University in Budapest; Research Associate at the Department of Anthropology at University College London; Research Engineer (CNRS) at the Brain and Spine Institute in Paris; PhD Student in Applied Maths at Queen Mary University of London (also part of the Complex Systems and Networks group, under the supervision of Vito Latora, and a member of the EU-FP7 LASAGNE project on the structure and dynamics of multilayer networks); Student in Physics (BSc) and Statistical Physics (MSc) at Sapienza University of Rome.
Professor and Chairman at University College London
Michael Batty is Bartlett Professor of Planning at University College London where he is Chair of the Centre for Advanced Spatial Analysis (CASA). He has worked on computer models of cities and their visualisation since the 1970s and has published several books, such as Fractal Cities (Academic Press, 1994) Cities and Complexity (MIT Press, 2005) which won the Alonso Prize of the Regional Science Association in 2011, and most recently The New Science of Cities (MIT Press, 2013). His blogs www.complexcity.info cover the science underpinning the technology of cities and his posts and lectures on big data and smart cities are at www.spatialcomplexity.info. He is the editor of the journal Environment and Planning B. His research group is working on simulating long term structural change and dynamics in cities as well as their visualisation, as well as urban analytics for smart cities. He is a Fellow of the British Academy (FBA) and a Fellow of the Royal Society (FRS) and was awarded the CBE in the 2004 Queen Birthday Honours List. Most recently he was the 2013 recipient of the Lauréat Prix International de Géographie Vautrin Lud, and in 2015, he received the Founders Gold Medal of the Royal Geographical Society.
Executive Director, Implementation and Data Governance at The New York Times Company
Robin is a versatile technologist, coder, and researcher with a track record of delivering projects, a solid experience in standards and internet governance, and a sustained eagerness to learn.
at Fondazione Bruno Kessler, Trento (IT)
Maths PhD student @CoMuNe Lab - Fondazione Bruno Kessler, Trento (IT) and @University of Trento (IT). I am interested in the geometry of complex networks (among others).
Maria Letizia Bertotti
Graduate Student at University of Oxford
Paul A. Bilokon is Director at Deutsche Bank, where he runs the global credit and core quant teams, part of Markets Electronic Trading (MET) group. He is one of the pioneers of electronic trading in credit, including indices, single names, and cash, and has worked in e-trading, derivatives pricing, and quantitative finance at bulge bracket institutions, including Morgan Stanley, Lehman Brothers, Nomura, and Citigroup. His more than a decade-long career spans many asset classes: equities, FX spot and options, rates and credit. Paul was educated at Christ Church, Oxford, and Imperial College. The domain-theoretic framework for continuous-time stochastic processes, developed with Prof. Abbas Edalat, earned him a PhD degree and a prestigious LICS paper. Paul's other academic interests include stochastic filtering and machine learning. He is an expert developer in C++, Java, Python, and kdb+/q, with a special interest in high performance scientific computing. His interests in philosophy and finance led him to formulate the vision for and found Thalesians, a think tank of dedicated professionals working in quant finance, economics, mathematics, physics and computer science, the focal point of a community with over 1,500 members worldwide. He serves as its CEO, and runs it with two of his friends and colleagues, Saeed Amen and Matthew Dixon, as fellow Directors. Dr. Bilokon is a joint winner of the Donald Davis Prize (2005), winner of the British Computing Society Award for the Student Making the Best Use of IT (World Leadership Forum's SET award, 2005), Ward Foley Memorial Scholarship (2001), two University of London High Achiever Awards (in mathematics and physics, 1999); a Member of the British Computer Society, Institution of Engineering and Technology, and European Complex Systems Society; Associate of the Securities and Investment Institute, and Royal College of Science; and a frequent speaker at premier conferences such as Global Derivatives, alphascope, LICS, and Domains.
Assistant Professor at University of Technology of Troyes, Institut Charles Delaunay UMR CNRS 6281
at Universitat de Barcelona
Marián Boguñá Espinal (Barcelona, 1967) is an associate professor at the Departament de Física de la Matèria Condensada of the Universitat de Barcelona. He graduated in Physics in 1994 and obtained his PhD also in Physics in 1998. In 1999, he moved to the USA to do a postdoctoral stay with Professor George H. Weiss at the National Institutes of Health, Washington DC. After this period, he moved back to Barcelona where, in 2003, he was awarded a Ramón y Cajal fellowship. He got the tenure position at the end of 2008. During this period, he has also spent several months in the USA as invited guest scientist at Indiana University. M. Boguñá has written over 80 publications in major peer reviewed international scientific journals, book chapters, and conference proceedings. Among those, Nature, Nature Physics, Nature Communications, Proceedings of the National Academy of Sciences US, Physical Review Letters, and Physical Review X. He was the chair of the international conference BCNetWORKSHOP 2008 Trends and Perspectives in Complex Networks and has served as a program committee member in many international conferences. In January 2008, he obtained the Outstanding Referee award of the American Physical Society. In December 2010 and 2015, he was awarded as ICREA Academia researcher 2010 and 2015, respectively. Since January 2013 he serves as an editorial board member for Scientific Reports.
Student at Tokyo Institute of Technology
Currently Ph.D. candidate in the department of Computational Intelligence and Systems Science, Tokyo Institute of Technology (東京工業大学) my research has focused on analyzing microscopic electronic order book fluctuation of currencies (EBS/ICAP market) using methodology of physics, so called econophysics. My research activities are supervised by Professor Misako Takayasu (高安美佐子) and supported by JASSO scholarship. In addition, since 2013, I am working as assistant researcher in Sony CSL (Sony – Computer Science Laboratory) under the supervision of Hideki Takayasu (高安秀樹). One of the main specialty of our laboratory is econophysics and focus on tick data with precision of 0.001 second (1 millisecond). More information can be found on her laboratory website: http://www.smp.dis.titech.ac.jp/ Native from the province of Quebec (Canada), I completed my undergraduate program in 2011 in Finance, Laval University. During that time, I had the chance to study abroad in Kansai Gaidai University (関西外大大学) in Japan. After returning in my own country, I pursed a master in Finance, Laval University and write an essay titled “VPIN Toxicity Method and Algorithmic Trading Positions and Performances”. After graduation from my master program, I hold a position as option trader with ARB Group where I still continue to do collaboration concerning research on options. Finally, I completed all three levels of the CFA program in 2013. My main interests are concerning options (especially close from expiration), market microstructure (FOREX), high frequency trading and portfolio management with non-linear products. Do not hesitate to contact me if you have any question or comments. All communications can be done in English, French or Japanese.
Javier Borge Holthoefer
Javier Borge-Holthoefer, currently leading the Complex Systems group at IN3-UOC (CoSIN3), received a Ph.D. in Computer Science from the Universitat Rovira i Virgili (URV) in Tarragona (Catalonia, Spain) in 2011. Founded on Interdisciplinary Physics, his research is nowadays focused on complex social systems and urban science. Among other appointments, he taught at the Department of Computer Science and Mathematics and at the Department of Psychology (both in URV). Before joining the IN3, he was a member of the COSNET Lab and held a position as a post-doctoral fellow at the Institute for Biocomputation and Physics of Complex Systems (BIFI), which belongs to the University of Zaragoza in Spain (2011-2013). He then moved to Qatar to work as a Scientist at the Qatar Computing Research Institute (QCRI), Hamad bin Khalifa University (2014-2016). With more than 40 peer-reviewed articles, his work has been published (among others) in Science Advances, Social Networks, Scientific Reports, Royal Society Interface, New Journal of Physics, EPJ Data Science, Physical Review E, and Europhysics Letters. Dr. Borge-Holthoefer has also contributed a book and several chapters around the problem of disease and information spreading on complex networks.
I am a postdoctoral researchers in the Data Science Lab at Warwick Business School looking at how complex social systems behave. From January 2020, I will be a lecturer in data science at the University of Exeter. My research focuses on complex social systems and is aimed at providing a deeper understanding of how such systems behave. Technological devices, such as smart phones, and technological systems, such as the Internet, provide an unprecedented source of information on human behaviour and my work focuses on investigating how people interact with these systems. These interactions often contribute to create a deeply interconnected structure that can be analysed using tools from network science, a recent interdisciplinary part of complex systems science. Using different tools ranging from network theory to physical and computer sciences, I analyse large data sets to study social systems and human behaviour. Part of my research also focuses on improving current techniques in the analysis of networked systems. I am also a member of the Complex Systems Society and the Young Researchers Networks on Complex Systems. I have presented talks and posters at international conferences and attended various schools for PhD students. Areas of Interest: Structure of real-world networks, data science, computational social sciences, mathematical modelling of real-world systems.
Postdoctoral fellow at Nordita
Associate Professor at Singapore University of Technology and Design
Dr. Roland Bouffanais is Associate Professor and Director of Graduate Studies at the Singapore University of Technology and Design (SUTD). He is the Principal Investigator at the Applied Complexity Group. He received his Ph.D. from EPFL (Lausanne, Switzerland) in computational science for which he was awarded the prestigious IBM Research Prize in Computational Sciences (2008), and the ERCOFTAC Da Vinci Award Silver Medal (2007). He has been a postdoctoral fellow and associate at the Massachusetts Institute of Technology (MIT) and still is a research associate with the Department of Mechanical Engineering at MIT. Bouffanais has worked in a number of areas of nonlinear physics and computational science, including nonlinear dynamical systems, turbulence, and emergent collective dynamics. Recently, his research activity focuses on interdisciplinary applications at the intersection between complexity, network science, control theory, machine learning, and multi-agent systems. Bouffanais has published 100+ peer-reviewed papers in top rated scientific journals and conference proceedings. He has recently authored a monograph titled “Design and Control of Swarm Dynamics”, published by Springer in their Complexity Series in 2016. Bouffanais has also published numerous Opinion Pieces and Op-Eds in various newspapers in Asia, Europe and North America. His full list of publications is available here. Honors & Awards: Outstanding Paper Award – IEEE MRS 2019 (Rutgers University NJ, US, 2019); SG Mark (Good Design Award) – Swarm Robots ORION, Singapore Design Council (2019); Outstanding Education Award – Singapore University of Technology and Design (2019); Best Paper Award – ASME-IDETC 2018 (Québec, Canada, 2018); Invitation to give the ILIAS Distinguished Lecture (University of Luxembourg, 2018); Peer-Review Award (Top Reviewer Assorted Fields) – Publons (2018); Visiting Scholar Invitation – CPU Cluster of Excellence, University of Bordeaux (2015); IMACS 2008 Most Successful Papers Award, in App. Num. Math. (2008); IBM Research Prize in Computational Sciences: “Exceptional quality in Doctoral thesis work” (2008); Finalist EPFL Best Doctoral Thesis (2008); ERCOFTAC Da Vinci Award: “Best European Doctoral thesis on Flow, Turbulence and Combustion”: Silver medal (2007).
Research Director at Ecole Polytechnique
Postdoctoral Fellow at Université catholique de Louvain
I am a Postdoc working in the field of complex systems. In particular, I am interested in interdisciplinary approaches to answer biological and social questions using tools from physics and data science. I am currently a postdoctoral researcher in Belgium at the Université catholique de Louvain and visiting researcher at the Mathematical Institute at the University of Oxford working on temporal networks and diffusion in networks. Before that, I was at the Levich Institute of the City College of New York, with a fellowship of the Swiss National Science Foundation, working on the diffusion of information and opinion dynamics in social networks. I also investigated the spread of diseases in a contact network of a population of wild mice as well as its social and behavioral organization in collaboration at the ETHZ, Zurich, Switzerland. I received my PhD in physics from EPFL in Lausanne, Switzerland, where I was working on the transport of particles in turbulent plasmas.
at King's College London
I am a Ph.D. student at King's College London under the supervision of Professor Tiziana Di Matteo working on data analytics problems regarding different aspects of complex systems data, from multifractal time series to multidimensional datasets, passing through network analysis and forecasting. In my previous research life as a Ph.D. student in Italy, I was an econometrician, working on data science and financial data modeling. I hold a second level master's degree in Quantitative Finance from Collegio Carlo Alberto and an MSc in Finance from the University of Siena and the University of Ljubljana. My goal as a researcher is to bridge the gap between the economics and complex systems societies, making them more interconnected than divided.
Rion Brattig Correia
Postdoctorate Researcher at Instituto Gulbenkian de Ciência, Portugal
I have a Ph.D. in the Complex Networks & Systems track of Informatics from the School of Informatics, Computing & Engineering at Indiana University (IN, USA). My PhD advisor was Prof. Luis M. Rocha. I am currently a post-doctoral researcher at Instituto Gulbenkian de Ciência, a life sciences institute in Oeiras, Portugal. My current work involves the application of complexity science methods to genetic networks, aiming at uncovering genes responsible for human diseases. I also maintain an affiliation with IU, where I work as a liaison among three labs, assisting PIs in all phases of an R01 NIH grant. I also have a Masters of Business Administration and a Bachelor in Management Information Systems from the Universidade Regional de Blumenau (FURB), in Brazil. I co-taught the classes Introduction to Informatics at IU; and General Systems Theory, Management Information Systems, and Foundations in Information Systems at FURB as a substitute professor. At the time I also managed the Technology Development & Transfer Laboratory (LDTT) from the School of Systems and Computing at FURB where I managed the development of a city-wide solution of electronic health records. I have authored papers in Complex Networks and Systems, Computational Intelligence & Computational Social Science; and papers and book chapters in Business Intelligence.
Daniel M. Busiello
Ph.D. Student at University of Padua
5 January 1991, Salerno (Italy). I am at present a Graduate student in Physics, University of Padua (Italy), supervised by prof. Amos Maritan. 2014: Italian degree similar to a master’s degree in Physics, University of Pisa (Italy), Top grade. 2012: Italian degree similar to a bachelor’s degree in Physics, University of Salerno (Italy), Top grade. 2009: High school leaving qualification in classical studies, Classical Lyceum “Francesco De Sanctis”, Salerno (Italy). Initially the scientific interest has been devoted to quantum information, in particular studying the properties of the entanglement and Von Neumann’s entropy. Successively focused attention to complex systems, like auto-organization phenomena and reaction-diffusion dynamics: in this context Turing patterns formation plays a fundamental role. The latter has been investigated for anisotropic continuous domains, Cartesian product networks and also for multiplex networks. In the last year the interest was on the problem of controllability in complex networks and on the role of interactions in ecosystems. At this moment the research is directed toward the entropy production of out of equilibrium systems and the meaning of its extremum principles. Publications: Phys. Rev. E 90, 042814 (2014); Sci. Rep. 5, 12927 (2015); Eur. Phys. J. B 88:222 (2015)
Guido Caldarelli, Vice-President
Professor at IMT
I am a physicist born in 1967, I obtained my degree in Physics in Rome in 1992 working on fractal properties of fractures. I obtained my PhD at SISSA in 1996 working on Self-Organized Criticality. After that, I have been a postdoc in Manchester (UK) and in TCM group in Cambridge (UK). Since 1998 I have been back in Italy as a research assistant. During this time I have been working in Rome (CNR) and in Lucca (IMT) and I have been a visiting Professor at Ecole Normale in Paris and at ETH Zurich. I work in Complexity and I am a member since its foundation. You can find more information on me on my website http://www.guidocaldarelli.com. I have the honour to serve as the President of the Society for the period 2018-2021
Phd Student at CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
Emmanuel Calderón Espinosa
Violeta Calleja Solanas
at IFISC (CSIC)
PhD Student at Paris School of Economics
Sep 2015 – Aug 2016 Ecole Normale Supérieure de Paris, Ecole Polytechnique Master of Science, Complex Systems Economics and Cognitive Sciences Paris, France Sep 2014 – Aug 2015 École des Ponts ParisTech Master of Engineering, Economics Paris, France Sep 2011 – Aug 2014 École Polytechnique Master of Science, Physics , France Sep 2009 – Aug 2011 College Stanislas Bachelor of Science, Mathematics Paris Sep 2016 – present PhD Student Ecole d'économie de Paris, Department of Economics Paris, France Sep 2015 – Aug 2016 Research Assistant Institut des Systèmes Complexes, Paris Île-de-France, Paris, France Mar 2014 – Aug 2014 Research Assistant Atomic Energy and Alternative Energies Commission, Institut de Physique Théorique (IPhT) Gif-sur-Yvette, France
Staff at Los Alamos National Laboratory
Full Professor at UNamur
After a Masters degree in Physics (University of Florence, June 1995) Timoteo Carletti continued his doctoral studies in Florence (Italy) and in Paris (France) at IMCEE, and finally defended his doctoral thesis in mathematics in February 2000. After several postdoctoral research stays - including Paris XI, IMPA (Rio de Janeiro, Brazil), “Scuola Normale Superiore” Pisa (Italy), University of Padova (Italy) - he was hired as a "senior researcher" in the framework of the European Project PACE FP6 (University of Venice, Italy). Hence in 2005 he moved to Belgium where he was hired at the University of Namur as a lecturer, then as a professor (September 2008), and finally as a Full Professor (September 2011) in the Department of applied Mathematics. In 2010 he was among the creators of the Namur Center for Complex Systems and since then he assumed the leadership of this research center. He supervised several theses and master theses mainly in mathematics, but also in economics, biology and computer sciences. He actively contributes to the doctoral and postdoctoral training in the field of complex systems in Belgium, through its presidency of the Graduate School FNRS "COMPLEX" since January 2011. He presented more than fifty seminars and he is author of more than fifty publications, in fields as varied as: biology, celestial mechanics, chaos detection, complex networks, control of systems, dynamic systems, economics, particle accelerators, social dynamics. He is a member of numerous scientific boards and reviewer for several journals. He organized several national and international conferences - among which ECCS’12 in Brussels (Belgium) – and he is PI or co-PI of several national – among which the “IAP VIII / 19 DYSCO - Dynamical SYStems Control and Optimization DYSCO” - and international research projects.
Postdoctoral Research Officer at Institute for New Economic Thinking, University of Oxford
Adrián is a postdoctoral researcher at the Institute for New Economic Thinking, University of Oxford. He obtained a degree in Physics from the Universidade de Santiago de Compostela and a master's degree on Theoretical Physics of Complex Systems from the Université Pierre et Marie Curie (Paris VI). He developed his master's thesis at the École Normale Supérieure (Paris), where he used concepts from statistical mechanics and autocatalytic processes to design a spatial economics model with which to study the role of transportation costs and spatial inhomogeneities in a context of sustainable development. He completed his PhD at the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC, Palma de Mallorca). During that time he worked on agent-based models of collective dynamics in socio-economic systems, investigating the mechanisms behind processes such as the formation of opinions in social groups, the competition of languages in bilingual communities, and herding behaviour in financial markets. He is interested in the development of agent-based modelling techniques and the use of analytical tools from statistical physics for the purpose of understanding the economy as a complex system, with a focus on policy assessment. He is currently involved in the MISTRAL project (Multi-scale infrastructure systems analytics), where he uses spatially-distributed agent-based models to study the economic impact of infrastructure investments.
Professor at University of Luxembourg and Luxembourg Institute of Socio-Economic Research
Jorge Alexis Castillo Sepulveda
PhD student at CICS-UDD
I'm studying a Phd in social complexity sciences at Centro de Investigación en Complejidad Social (CICS; Center for Research on Social Complexity), Universidad del Desarrollo, Santiago, Chile. I also have a B.sc in Mathematical Engineering obtained in Universidad de Concepción, Concepción, Chile. My research interests are Human Evolution, Complex Networks and Phase Transitions & Paradigm Shifts.
Scientific Director at ISI Foundation
I am interested in computational social science, data science, artificial intelligence, complex systems and complex networks. Currently I am working on classifying texts based on their co-occurence graphs, I am also working to improve the capabilities of agent-based models in order to use them for prediction just like the standard machine learning algorithms. For more, https://uzay00.github.io/kahve/research.html
Professor at Jawaharlal Nehru University
Anirban Chakraborti is a professor at the Jawaharlal Nehru University, New Delhi. He had been a faculty at École Centrale Paris, France, and Banaras Hindu University, India. He had obtained a Ph.D. in Physics from Saha Institute of Nuclear Physics, India and then the Habilitation in Physics from the Université Pierre et Marie Curie (Paris VI), France. He has the experience of working as a scientist in many reputed universities and educational institutions in India, USA, Europe, and Japan. He was awarded the prestigious Young Scientist Medal of the Indian National Science Academy in 2009 for pioneering work in Econophysics. He has published thirteen books and edited volumes, and more than eighty-five research and review articles in internationally renowned publishing houses. His main research interests lie in the areas of Econophysics, Sociophysics, Data Science, Complex Systems, Statistical Physics, Quantum Physics, and Nanomaterial Science.
Post doctoral researcher at Graduate School of Simulation Studies, University of Hyogo
I am a Post doctoral researcher at the Graduate School of Simulation Studies, University of Hyogo, Kobe, Japan. My research interests are complex networks, large-scale economic networks and statistical physics. My Ph.D. work was on the statistical mechanical study of complex network done at the Department of Theoretical Physics, Satyendra Nath Bose National Centre for Basic Sciences, Kolkata (2008-2014). I did postdoctoral research at the Department of Physics, The Institute of Mathematical Sciences, Chennai (2014-2016). I joined as a Post doctoral researcher at the University of Hyogo in November 2016. More at https://sites.google.com/view/abhijitchakraborty/home
Permanent CNRS Research fellow at EHESS
David Chavalarias is the director of the Complex Systems Institute of Paris Ile-de-France (ISC-PIF - http://iscpif.fr) and permanent researcher at the National Center for Scientific Research. He holds a french PhD from the Ecole Polytechnique in cognitive sciences and is graduated from the Ecole Normale Supérieure de Cachan in Mathematics and Computer Sciences. He studies the social and cognitive dynamics, both from the modeling and data-mining point of view. His research is strongly interdisciplinary and includes : computational social sciences, digital humanities, quantitative epistemology, information visualization, modeling of the cultural dynamics, socio-semantic networks modeling, scientific discovery processes and cognitive economics. He has been involved in the design of several interfaces for mapping knowledge dynamics from large corpora : academic digital repositories, online media or press. Website: http://chavalarias.com David Chavalarias is a former Vice-President of the Complex Systems Society and got the "CSS Service Award" in 2014 for its contributions to the developpement of complex systems science worldwide.
Lock Yue Chew
Associate Professor at Nanyang Technological University
Assoc. Prof. Lock Yue Chew is a theoretical physicist with the Division of Physics and Applied Physics of NTU. He is the Associate Chair (Students) of the School of Physical and Mathematical Sciences; and the Deputy Director of the Data Science and AI Research (DSAIR) Centre of NTU in the cluster of Complex Systems. His research interest is in the Physics of Complex Systems. He is currently active in applying the approaches of complexity science to the domain of Machine Learning and Artificial Intelligence, and vice versa. He has focused his recent research on the phase transitions of diverse real-world complex systems in the social, neuronal, and urban domains. He is a Principal Investigator in the Wallenberg AI, Autonomous Systems and Software Program working on the project titled: "Co-Evolutionary Reinforcement Learning for Multi-Agent Systems". He is also affiliated with the Complexity Institute of NTU
Senior Researcher at Centre of Planning and Economic Research
Research fellow at National Research Council of Italy
Giulio Cimini is research fellow at the Institute of Complex Systems (ISC) of the National Research Council (CNR) of Italy. His expertise covers statistical physics, complex systems and networks, probability theory, numerical calculus, agent-based simulations and data analysis. His research activity mainly consists of interdisciplinary application of physics to complex systems of social, biological and economic nature. He graduated in Physics at “Sapienza” University of Rome in 2009 and got his doctorate in Physics at University of Fribourg in 2013. He was then awarded an early postdoc mobility grant from the Swiss Natural Science foundation for a research project at Universidad Carlos III in Madrid. Before his current position, he held a post-doc research fellowship at Institute for Complex Systems (ISC-CNR) in Rome, and then he was assistant professor in at IMT Lucca (NETWORKS unit).
PhD Researcher at University of Catania - Department of Physics
Nicola Cinardi is a Theoretical Physicist, now PhD researcher in Complex Systems for Physical, Socio-economic and Life Sciences at University of Catania, Italy. He worked on Loop Quantum Gravity at Radboud University, Nijmegen, The Netherlands for the Master thesis. During that period (till now) he studied other approaches to quantum gravity such as Shape Dynamics, Causal Dynamical Triangulations, Quantum Graphity etc… Prior to this, and among the others, he took courses on Standard Model of Particle Physics, String Theory, Quantum Field Theory, Magnetohydrodynamics, Graph Theory, Astrophysics, and Biophysics. He is actually working on the construction of a mathematical framework able to explain and describe why spacetime is the way it is: from why it seems to be 4-dimensional to why interactions do exist in our universe. He enjoys travelling, reading, sports (from martial arts to Parkour), photography, singing.
Post-Doc at ISC-CNR Uos Sapienza
Post-Doc researcher at ISC-CNR in Rome. I am interested in complex networks with applications to social media and, more in general, to human behaviour. My background is in Industrial Engineering.
Prof at Romanian Academy, Iasi
Director at George Mason University
Professor Cioffi began his term as Interim Vice President for Research at George Mason University in 2014. He received his first doctorate in political and social sciences from the University of Florence in 1975 and his Ph.D. from the State University of New York in 1979. He joined George Mason University in 2002 and is currently Professor of Computational Social Science, former and founding chair of the Department of Computational Social Science, and founding director of the Center for Social Complexity. His research interests include complexity-theoretic applications to conflict modeling and radicalization, disasters and risk analysis, and social complexity theory and research. His current research projects include theory and applied research on coupled human-artificial-natural systems (CHANS), climate change and conflict, and advanced formal methods for hybrid functions in complex systems. His research is supported by NSF and ONR. He is founding past president and an active member of the Computational Social Science Society of the Americas, serving also as a Jefferson Science Fellow of the National Academy of Sciences and Senior S&T Adviser at the Office of Geographic and Global Issues in the US Department of State. He has authored over eighty peer-reviewed scientific and policy analysis papers and seven books, the most recent being Introduction to Computational Social Science: Principles and Applications (Springer, 2014). His papers are published in numerous disciplinary and interdisciplinary journals, such as Complexity, Advances in Complex Systems, Journal of Artificial Societies and Social Simulation, Journal of Conflict Resolution, and American Political Science Review, among others.
Ruaridh is a Research Associate in Mechanical and Aerospace Engineering with a research focus on network analysis, consensus optimisation and swarm engineering. These foundations have found applications in wide variety of networked systems from brain connectomes, to starling flocks and multiple UAV control. His research and studies have always been closely aligned with space technology and applications. Delivering horizon scanning for the UK Space Agency by assessing the potential of future space technology and applications, as well as managing and taking a technical lead in developing an experiment that was launched on a sounding rocket as part of ESA's REXUS programme. Other space related work has included leading the thermal analysis of the UK's first CubeSat and founding a student space organisation at the University of Strathclyde, StrathSEDS. He is currently developing Space Horizons, a fast-paced card game about future space technologies and missions, in association with the UK Space Agency.
Post-doctoral researcher at Hasselt University
I am currently a post-doctoral researcher at Hasselt University in the group of Prof. Niel Hens. I got my MSc in Theoretical Physics at University of Rome “La Sapienza” in 2010 and my PhD at university of Rome “Roma Tre” in 2014, with a thesis on the dynamics of out of equilibrium systems and metastable behavior. From 2014 to 2016 I held a post-doctoral research fellowship at the ISI foundation, in the computational epidemiology lab, led by Dr. Vittoria Colizza. My research interests focus on infectious disease spreading, in particular on seasonal diseases. In my work I combine methodologies borrowed from complex systems with standard epidemiology tools to analyze epidemiological time series; I then use numerical simulations to further validate the results. My research interests focus on infectious disease spreading, in particular on seasonal diseases. I address this issue combining methodologies borrowed from complex systems with standard epidemiology tools, in order to disentangle the relevant factors in shaping disease dynamics. Then I make use of numerical simulation to further assess the impact of each factor and to produce quantitative predictions on disease spread.
Research Director at Inserm & Universite Pierre et Marie Curie, Faculte de Medecine
Dr. Vittoria Colizza is a permanent researcher at Inserm (French National Institute of Health and Medical Research) & Universite Pierre et Marie Curie, Faculte de Medecine, Paris, France. She completed her undergraduate studies in Physics at the University of Rome Sapienza, Italy, in 2001 and received her PhD in Statistical and Biological Physics at the International School for Advanced Studies (SISSA) in Trieste, Italy, in 2004. She then spent 3 years at the Indiana University School of Informatics in Bloomington, IN, USA, first as a post-doc and then as a Visiting Assistant Professor. In 2007 she joined the ISI Foundation in Turin, Italy, where she started a new lab after being awarded a Starting Independent Career Grant in Life Sciences by the European Research Council Ideas Program. In 2011 Vittoria joined the Inserm in Paris where she now leads the EPIcx lab (Epidemics in complex environments, www.epicx-lab.com) within the Pierre Louis Institute of Epidemiology and Public Health (UMR-S 1136). She also has a joint appointment at ISI Foundation, Turin, Italy. Through her work she has made important contributions to the development of the field of computational epidemiology, based on sophisticated models and massive empirical datasets aimed at producing advances in the surveillance, modeling and prediction of epidemic spread. These research activities are further supported by theoretical approaches integrating methods of complex systems, network science and statistical physics aimed at underpinning the mechanisms behind observed spreading phenomena. Colizza received the ERC Starting Grant in 2007, the Young Talent Award by the Italian Ministry of Youth in 2010, the Prix Louis-Daniel Beauperthuy 2012 (Human biology & Medical sciences) by the French Academy of Sciences, the Young Scientist Award for Socio-Econophysics in 2013. [Update March 2015] She authored 50+ publications in international peer-reviewed journals on epidemic modelling in complex environments; lists 50+ invited talks at International conferences (of which 7 keynotes and 2 plenaries) and 20+ activities of popular science dissemination (invited talks, articles, exhibits, documentaries). She is (was) involved in 4 (6) National & International Grants, 1 (2) of which as coordinator; is supervising (has supervised) 2 (2) PhD students; is Member of the Steering Committee of the Complex Systems Society Conference, Advisory Board Member of the WHO Collaborative Center ‘Complexity Science for Health Systems’ (CS4HS), Advisory Board Member of the AXA Research Funds Funding Program. She served as the Young Advisor to the Vice President of the European Commission Mrs. Neelie Kroes for the new Digital Agenda for Europe in 2011-2014, and as Advisory Board Member of the FET Young Explorer Funding Program for the FP7 Framework of the European Commission.
Juan C. Correa
I received a Ph.D. in 2015 under the supervision of professor Klaus Jaffe at Universidad Simón Bolívar (Caracas, Venezuela). In my thesis, I developed an agent-based model to estimate the impact of motorcycle lane-sharing on the behavior of road users. Nowadays, I work as a scientific researcher and lecturer in the graduate program of consumer psychology at Fundación Universitaria Konrad Lorenz (Bogotá, Colombia). I love to study sensitive topics of everyday life. Especially those that we can tackle with available data and from an Interdisciplinary approach (i.e., using different theoretical and methodological frameworks). I have a wide variety of academic interests including Complexity and Social Complex Systems, Psychology of Corruption, Ideological Consumerism, Consumer Psychology, Analysis of Natural Language in Politics, Urban Mobility, and Urban Traffic. I also enjoy studying new research methods and techniques such as reproducible research, structural equation modeling, Agent-based simulations, Data and Text Mining, Web Scraping (through R or Python), Montecarlo Simulations, and the family of Multiple Regression Models (e.g., Kernel, Linear, Logistic, Probit, Logit).
PhD Student at Universidade Federal de Viçosa
PhD student at Universidade Federal de Viçosa (Brazil), studying the spreading of epidemics on Complex Networks.
Principal Investigator at Climate Service Center Germany (GERICS)
Roger’s complex systems research appeared in some of the most important journals of the global change and sustainability arenas, focussed on insurances (Cremades et al., 2018, Nature Climate Change), climate policies (Hasselmann, Cremades et al., 2015, Nature Gesocience), and cities (Cremades and Sommer, 2019, GMD). Currently, Roger is for 6 years working as climate change economist at the German Climate Service Center, an institution bridging science and societal needs, where he moved up the ladder from part-time worker to principal investigator and coordinator of European projects. He obtained his PhD in Geosciences at the doctoral school of the Max Planck Institute for Meteorology and Universität Hamburg (Germany), studied Environmental Economics (MSc) at Cranfield University (UK), and Forestry Engineering (BSc) and Environmental Science (BSc) at the Technical University of Valencia (Spain), besides two semesters at Padova University and at the Beijing University of Technology. Overall Roger has more than 15 years of experience working on global change related jobs on public administrations, private business and international research institutions. In addition to the topics mentioined above, Roger is introducing complex systems into several corners of the global change and sustainability agendas, such as climate services and the water-energy-land nexus.
Siobhán is a data scientist and researcher with a background in neuroscience. Her passions are inference, complexity, and deep learning. She has conducted research at Harvard Medical School, Harvard Laboratory for Developmental Studies, Movement Research, and the Interdisciplinary Laboratory for Art, Nature, and Dance, with research published in Brain & Cognition, Neuroreport, and Model View Culture.
B.Sc. Student at Physics and Applied Informatics Faculty, Lodz University
Pawel holds a MA (Warsaw School of Economics) and Ph.D. (Lodz University, Poland) in Innovation Management. He also graduated from Business Management Programme at the Japan Productivity Center in Tokyo. His professional track record includes, apart from scientific activities, support for the public and private bodies in the field of innovation development, with the special regard on regional niveau and technological start-ups. Pawel's current research interests include application of the complexity theory' approach and its tools into the analysis of territorial innovation systems' development and implementation of the Big Data solutions into Small and Medium Enterprises routine.
Research Associate at IHMC
Adam Dalton joined IHMC in 2012 as a Research Associate in cyber security and natural language processing. Prior to joining the team in Ocala, he was the technical lead for Information Architecture development on NASA’s Launch Control System at the Kennedy Space Center (KSC). He also developed simulations to help plan the transition of a skilled workforce from the Space Shuttle Program to next generation space systems. Adam got his Bachelor’s degree in Honours Computer Science from McGill University in Montreal, Canada, and his Master’s in modeling and simulation from the University of Central Florida. He will begin studies for a Ph.D. in Computer Science this fall at the University of Florida. In Ocala he works on a cyber security project focused on understanding the behavior of systems and users to better protect mission-critical systems with high visibility, such as rocket launch control or nuclear power plant operations. Understanding the configurations and interactions of complex networks is crucial to reducing the vulnerability of such targets. A goal is to optimize the strengths of humans and machines so they can cooperate in the pursuit of a more secure system. His NLP project is aimed at the deep and robust analysis and understanding of multi-party conversations—including conversations that are only partially and inaccurately transcribed, and likely to contain obscure and even deceptive language. In particular, his work makes explicit the conversation’s dynamics (e.g., critical topic shifts and other sociolinguistic features of dialogue) through which the interlocutors’ beliefs and intentions as well as those of third parties can be modeled and projected. He and his wife Larissa have three sons, Sam, Ted, and Alex. When he has time outside of work he enjoys reading science fiction, playing Ultimate Frisbee and watching baseball.
at Open University
Phil Davies is a Chief Superintendent in Greater Manchester Police and is currently the Programme Director for Information Services Transformation, an ambitious undertaking to replace the organisation’s core operational systems with an integrated software package, along with mobile technology solutions, data warehousing and enterprise architecture to evolve multi-agency data sharing processes. As a strong advocate of evidence-based policing, Phil is GMP’s representative on the OU Police Research & Learning Group, and is undertaking a part-time PhD in the field of complexity science.
Simon DeDeo is a professor of Complex Systems at Indiana University, and external faculty at the Santa Fe Institute. At Indiana he runs the Lab for Social Minds, which studies the present and past of the human species to better understand its future. From the centuries-long timescales of cultural evolution to the second-by-second emergence of social hierarchy, from Wikipedia to the French Revolution to the gas stations of Indiana, the Lab for Social Minds builds mathematical theories and studies historical and contemporary phenomena. Collaborators at the lab come from cognitive science, computer science, physics, economics, animal behavior, anthropology, linguistics and ecology & evolution; we also draw on collaborators in the humanities, in departments of history, english literature, and classics. We release reports relevant to policy-makers, and write for wider audiences in magazines such as Nautilus, New Scientist, and National Public Radio.
Manlio De Domenico
Head of Research Unit at Fondazione Bruno Kessler
Manlio De Domenico is Head of Complex Multilayer Networks Lab (CoMuNe Lab) at the Center for Information and Communication Technology of Fondazione Bruno Kessler (FBK), leading research institute in Italy. Physicist by training, he started his research activity on Complex Systems within the Laboratory of Complex Systems led by Vito Latora at the University of Catania. He did his postdoctoral work at the School of Computer Science, University of Birmingham (UK) and at School of Computer Science and Mathematics, Universitat Rovira i Virgili (Spain), mentored by Alex Arenas. Granted a Juan de la Cierva senior fellowship, he moved to Trento (Italy), where he leads the FBK "Research Unit for Multilayer Modeling and Analysis of Complex Systems". He was awarded the Junior Scientific Award by Complex Systems Society for "a number of pioneering contributions to the field of multilayer networks" in 2016 and the Prize in Formal Sciences by the Universal Scientific Education and Research Network (USERN) for "Modeling the Complexity of Systems of Systems" in 2017. He has been granted the National Scientific Habilitation for the role of Full Professor in Theoretical Physics of Condensed Matter, the role of Full Professor in Applied Physics and the role of Associate Professor in Theoretical Physics of Fundamental Interactions by Italian Ministry of Education University and Research (MIUR).
Alessandro De Gregorio
at Politecnico di Torino
Graduated in Mathematics from the University of Bologna, he is currently a PhD student in Pure and Applied Mathematics at Politecnico di Torino. His research interests focus on Topological Data Analysis applied to large graphs and complex networks.
PhD Candidate at Utrecht University
Background in physics and mathematics. Currently working in collaboration with the Dutch railways to predict large-scale disruptions. Interested in dynamical systems, critical transitions, machine learning and data-driven applications of complex systems.
PhD Student at Université Rennes 2
Holder of a Bachelor 's degree in Biology and General Ecology and a Master's degree in Ecology and Tropical Biodiversity, I am currently preparing my PhD in Geography and Landscape Ecology. Having approached the concept of landscape as a complex system with both social and ecological components, my fields of research are structured around: - Landscape dynamics and evolution: implications of anthropic factors, individual and collective conceptions, conceptual models - Interactions between human beings and environment and consequences on landscape structure in tropical areas: remote sensing, spatial practices, ecosystem services - Governance policy in land management: network of actors, involvement of civil society, exploitation of natural resources and biodiversity conservation - Transdisciplinary approach to landscape: at the interface of societies and natural ecosystems: methods and analytical tools
Sarah de Nigris
PostDoctoral Researcher at WeST Institute - Koblenz-Landau University
Fabrizio De Vico Fallani
Researcher at Inria
Fabrizio De Vico Fallani is an INRIA researcher in the ARAMIS team at the Brain and Spine Institute (ICM) in Paris. Italian born native of Rome, he received his Masters in Computer Science Engineering at the Sapienza University in Rome (2005), and was awarded a Ph.D. in Biophysics three years later at the same University. He currently leads a group working on the analysis and modeling of brain functioning from a system perspective. Theoretical developments are in the field of network theory and signal processing adapted to neuroimaging data. Applications range from the study of brain diseases (eg, stroke, Alzheimer) to the development of brain-computer interfaces.
Prof. at Universitat de Barcelona
I am Full Professor at the Universitat de Barcelona, my tasks are teaching and research, but also administration, of course. In my website you will find information on theses tasks, some of them more updated than others. The subjects that I teach now and have taught in the past. And some other academic duties, too. If you are curious about my research you can take a look to my research lines, my papers, some seminars in electronic format and the participation in recent events. This information is mainly in English, but some papers and seminars can be in Catalan or Spanish. I got my degree in Physics at Universitat de Barcelona (1983) and a PhD in Science at Universitat Autonoma de Barcelona (1987). Postdoctoral stays in Gorlaeus Laboratories (Leiden, The Netherlands) and “Centre de Physique de Solide” (Sherbrooke, Canada). My research is currently focused on general aspects of complexity, particularly in complex networks. My research lines had been broadening to cover aspects in many different fields: biology, economy, social sciences, computer science, linguistics. Direct collaborations with scientists with different backgrounds have been possible by means of stays in different centers (Mathematics at Imperial College London, Chemical and Biological Engineering at Northwestern University, Ecologia UNAM, Potsdam Institute of Climatogy, Potsdam Psychology, Sociology at ETHZ). Author of more than 100 articles in physics and interdisciplinary journals. I have been the Coordinator of the Catalan Network for the Study of Complex Systems (complexitat.CAT) that organized the Barcelona edition ECCS'13, what a great venue.
Ph. D Candidate at Universidad Nacional Autonoma de Mexico - Instituto de Fisica
Tiziana Di Matteo
Professor of Econophysics at King's College London
Tiziana Di Matteo is Professor of Econophysics. A trained physicist, she took her degree and PhD from the University of Salerno in Italy before assuming research roles at universities in Australia and Britain. She works in the Department of Mathematics at King’s College London in Econophysics, complex systems, complex networks and Data science. She has authored over 100 papers and gave invited and keynote talks at major international conferences in the US, across Europe and Asia, making her one of the world’s leaders in this field. She is member of the External Faculty of the Complexity Science Hub in Vienna, Honorary Professor of UCL in the Department of Computer Science and Member of the UCL Centre for Blockchain Technologies. She is Editor-in-Chief for the Journal of Network Theory in Finance, Editor-in-Chief for the Journal Advances in Mathematical Physics, Editor of the European Physical Journal B, Editor of the Artificial Intelligence in Finance journal and Guest Editor of several other volumes. She is Co-founder of the Econophysics Network (https://econophysicsnetwork.kcl.ac.uk). She has been consultant for the Financial Services Authority and several hedge funds.
Associated Professor at Alexandru Ioan Cuza University of Iasi
Alessandro Di Stefano
Post-doctoral Researcher at Dipartimento di Ingegneria Elettrica, Elettronica e Informatica (DIEEI) - University of Catania
I was born in Catania, Italy, in 1985. I received my BSc and MSc degrees in Telecommunications Engineering from the Dipartimento di Ingegneria Elettrica, Elettronica e Informatica (DIEEI) at University of Catania, Italy, respectively in 2009 and 2012. I was awarded my PhD in Systems Engineering following a successful viva in December 2015 at DIEEI under the guidance of Prof. Aurelio La Corte, with a thesis entitled: "Evolutionary Dynamics of Social Behaviours on Multilayer Networks". During the PhD, I attended several schools and conferences on complex systems and I made various internships at Computer Laboratory, Department of Computer Science, University of Cambridge (UK), under the supervision of Dr. Pietro Liò, Senior Reader in Computational Biology, both in 2014 and 2015, with whom I have been collaborating since 2012. Currently, I work as post-doctoral researcher at DIEEI, University of Catania and, moreover, I collaborate also with other Universities in Europe, such as Teesside University (UK), with Dr. Claudio Angione, Senior Lecturer in Computer Science. I have an interdisciplinary approach to research and my current research interests include evolutionary game theory, multilayer networks, human cooperation, social behaviors, homophily, complex systems, complex networks, network science, healthcare, epidemics, Big Data, ICT and bio-inspired algorithms.
Rudolf R.H. Dittrich
Entrepreneur, Dr. at RD-AVENUE.com - Research and Development Office for Applied Physics and Engineering
Personal interests: Modeling and simulation of complex engineering systems, including fracture-mechanical problems; transport processes in physics and the geosciences; and Applied Physics applications; analysis, design and development of embedded system software (mainly in the automobile industry and adjacent sectors); application of numerical methods to the beforementioned areas (finite elements; Monte Carlo simulation; non-linear modeling of feedback and control systems; discrete modeling; etc.); network analysis (industrial applications; industry 4.0; social systems; etc.). Within the CSS community: 1. Council member for the 2012 to 2014 period. 2. Until early 2015, participation in the development and setting up of one of the web sites of the Complex Systems Digital Campus (CS-DC). 3. Member of the Programme Committee of CCS 2016 4. Tutoring industrial customers on complex systems (theory and practical aspects). 5. Member of the Programme Committee of CCS 2019.
Ana Frances Dumdum
EPSRC Doctoral Prize Fellow at University of Bristol
I am currently an EPSRC DP Fellow at University of Bristol (UK), and a Visiting Professor at the Stevens Institute of Technology (USA). My current work focuses on the application of network science to project robustness/resilience. More generally, I am interested in the broad application of Network Science and Mathematical Modelling to a variety of engineering challenges, including Project (Risk) Management, Team Performance and Supply Chain Management.
Assistant Professor at University of Amsterdam
Prof. and Chair in Complexity Sciences at University of Strathclyde
Professor Estrada has an internationally leading reputation for shaping and developing the study of complex networks. His expertise ranges in the areas of network structure, algebraic network theory, dynamical systems on networks and the study of random models of networks. He has a distinguished track record of high-quality publications, which has attracted more than 7, 500 citations. His h-index (number of papers with at least h citations) is 51. His publications are in the areas of network theory and its applications to social, ecological, engineering, physical, chemical and biological real-world problems. Professor Estrada has published two text books on network sciences both published by Oxford University Press in 2011 and 2015, respectively. He has demonstrated a continuous international leadership in his field where he has been invited and plenary speaker at the major conferences in network sciences and applied mathematics. Currently he is involved in the following general research areas: • Structural characterisation of complex networks via the use of matrix functions • Development and mathematical analysis of random geometric networks • Study of generalised Laplacian operators for networks • Development of generalised diffusion models for networks • Study of indirect peer pressure over consensus dynamics on networks • Development of generalised classical and quantum random walk models on networks • Applications of network sciences to oil and gas exploration • Characterisation of spatial efficiency of networks • Study of Euclidean geometrical embedding of networks • Application of network theory to study the efficiency of airport transportation networks • Application of network theory to ecology and social sciences • Study of protein-protein interaction networks as potential drug targets • Use of network theory to study structural and physico-chemical properties of proteins • Applications of network theory to material sciences. In 2013 Estrada became the founder and Editor-in-Chief of the Journal of Complex Networks published by Oxford University Press. This high quality journal publishes original articles and reviews with a significant contribution to the analysis and understanding of complex networks and its applications in diverse fields. Complex networks are loosely defined as networks with nontrivial topology and dynamics, which appear as the skeletons of complex systems in the real-world. The journal covers everything from the basic mathematical, physical and computational principles needed for studying complex networks to their applications leading to predictive models in molecular, biological, ecological, informational, engineering, social, technological and other systems.
Senior Lecturer at Imperial College London
Dr Evans studied for his PhD at Imperial under Prof Ray Rivers, combining statistical physics and particle physics to tackle problems associated with the Big Bang. He then became a researcher at the University of Alberta in Edmonton Canada before returning to Imperial College. Following time there as a Royal Society University Research Fellow, he was appointed a Lecturer at Imperial in 1997. Since 2002 he has been looking at non-equilibrium behaviour in complex systems in general, with a particular interest in applications to complex networks and in social systems. This includes work on application to archaeology.
PhD candidate at University of Limerick
Research Professor at University of Southern California
PhD student in Computational Neuroscience at Faculty of Science and Engineering
Adjunt professor at Department of Enterprise Engineering - University of Rome Tor Vergata
Neukom Fellow at Dartmouth College
PhD candidate at Ca' Foscari University
at Utrecht University
Egil Fischer wants to find the answers why some micro-organisms can spread more easily between animals and farms than other micro-organisms. He is especially interested in antibioticum resistance. In his work he primarily uses dynamic mathematical models and simulation models to interpret field or experimental data. Working experience Assistant Professor March 2015 – current Faculty of Veterinary Medicine, Universiteit Utrecht, The Netherlands DLO Researcher January 2008 – March 2015 Central Veterinary Institute, part of Wageningen UR, Lelystad, Nederland Guest researcher January 2010 – Juli 2014 Faculty of Veterinary Medicine, Universiteit Utrecht, The Netherlands PhD-student August 2003 – December 2008 Instituut Maatschappelijke Gezondheidszorg, Erasmus MC, Rotterdam, Nederland Junior Researcher September 2002 – January 2003 ID-DLO, Lelystad, Nederland Education PhD in Health Sciences 2003 - 2010 Erasmus University, Rotterdam, The Netherlands MSc in Epidemiology 2003 - 2006 NIHES, Rotterdam, The Netherlands MSc in Theoretical Mathematical Biology 1999 - 2002 Wageningen University, Wageningen, The Netherlands MSc in Ecological Cropprotection 1995 - 2002 Wageningen University, Wageningen, The Netherlands
Postdoctoral fellow at University of Milano
Maria Rita Fumagalli
Post-doctoral Fellow at Institute of Biophysics CNR - CC&B University of Milan
Associate Professor at Università Roma Tre
I was born in Rome (Italy) on the 18th of February 1970. I am Associate Professor in Physics at the Engineering Department of University Roma Tre. Previously I had a permanent research position at the Institute of Complex Systems (ISC) of the Italian National Research Council (CNR) c/o the Physics Department of the University "Sapienza" in Rome. I am also visiting professor at IMT Institute of High Studies of Lucca (Italy) and visiting scholar of the London Institute of Mathematical Science (LIMS, London, UK). My fields of activity are: out of equilibrium statistical physics, stochastic processes, applications of complex network theory to socio-economic and biological systems. I am author of more than 100 papers on scientific journals with peer-to-peer review system, and of one book for Springer. I developed many collaborations with many national and international institutions among which: Ecole Polytechnique (Palaiseau, France), Boston University (MA, USA), Université Pierre et Marie Curie (Paris, France), University of Geneva (CH). I taught for many years "Theory of Stochastic Process" to undergraduate and graduate students at the Physics Department of the University "Sapienza" in Rome.
at University of Salerno
I'm a computer scientist with a strong background in machine learning. My research focuses on data integration, big data analysis and cognitive neuroscience. I'm interested in modelling brain networks from MR imaging to investigate the relationship between the functional/structural organisation of the brain and individual cognitive abilities.
Nadeem Bashir Ganaie
Sr. Assistant Professor at Govt. College for Women Nawakadal, University of Kashmir
Currently working as Assistant Professor in Chemistry. Interested in the fields of Nonlinear Chemical Dynamics (Experimental and Theoretical), Coordination, Organometallic, Bio-inorganic Chemistry, Corrosion and related sciences
Postdoctoral Researcher at ETH Zurich
I am postdoctoral researcher at the Chair of Systems Design in ETH Zurich. My current research is about structural properties, stability, and efficiency of complex networks. More specifically, I study how dynamical processes evolving on a complex system are related to fundamental properties of its underlying network topology. Using data-driven modeling and state of the art data-mining techniques, I am exploring applications of these subjects to various fields ranging from Physics to Sociology and Economy.
at University of Amsterdam
Carlos Gershenson is a tenured, full time research professor at the computer science department of the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas at the Universidad Nacional Autónoma de México (UNAM), where he leads the Self-organizing Systems Lab. He is also affiliated researcher at the Center for Complexity Sciences at UNAM and a visiting professor at ITMO University (2015-). He was a Visiting Professor at MIT and at Northeastern University (2015-2016). He was a postdoctoral fellow at the New England Complex Systems Institute (2007-2008). He holds a PhD summa cum laude from the Vrije Universiteit Brussel, Belgium (2002-2007). His thesis was on “Design and Control of Self-organizing Systems”. He holds an MSc degree in Evolutionary and Adaptive Systems, from the University of Sussex (2001-2002), and a BEng degree in Computer Engineering from the Fundación Arturo Rosenblueth, México. (1996-2001). He has been an active researcher since 1997, working at the Chemistry Institute, UNAM, México, and a summer (1999) at the Weizmann Institute of Science, Israel. He has more than a hundred scientific publications in books, journals, and conference proceedings, which have been cited more than four thousand times. He has given more than 200 presentations at conferences and research group seminars. He has a wide variety of academic interests, including complex systems, self-organization, urbanism, artificial life, evolution, cognition, artificial societies, and philosophy. He is Editor-in-Chief of Complexity Digest, Associate Editor for the journals Complexity and Frontiers in Robotics and AI, and member of the Board of Advisors for Scientific American.
Postdoctoral researcher at Institut für Theoretische Physik, Technische Universität Berlin
I am PhD candidate (3rd year) in Economics at Marche Polytechnic University where I collaborate with the research group on economic complexity lead by prof. Mauro Gallegati. During the 2017 spring term, I was PhD visiting scholar at IMT School for Advanced Studies Lucca to study network analysis and programming under the supervision of prof. Guido Caldarelli. Since October 2017 (until April 2018) I am PhD visiting scholar at University of Essex where, under the supervision of prof. Sheri M. Markose, I am analysing the impact of Brexit on the UK and EU with a network perspective
Prof. at University of Limerick
Associate Professor at Universitat Rovira i Virgili
Associate Professor at Universidad de Zaragoza
I am a Associate Professor of the Department of Condensed Matter Physics and the Institute for Biocomputation and Physics of Complex Systems, at the University of Zaragoza (Spain). My interests are widely interdisciplinary, ranging from biological to social systems, but always focused on the use of statistical physics to the study of the emergence of collective phenomena in systems of a large number of interacting elements.
Vice-President at JPMorgan Chase & Co.
Bruno Gonçalves is currently a Vice President in Data Science and Finance at JPMorgan Chase. Previously, we was a Data Science fellow at NYU's Center for Data Science while on leave from a tenured faculty position at Aix-Marseille Université. Since completing his PhD in the Physics of Complex Systems in 2008 he has been pursuing the use of Data Science and Machine Learning to study Human Behavior. Using large datasets from Twitter, Wikipedia, web access logs, and Yahoo! Meme he studied how we can observe both large scale and individual human behavior in an obtrusive and widespread manner. The main applications have been to the study of Computational Linguistics, Information Diffusion, Behavioral Change and Epidemic Spreading. He is the author of 60+ publications with over 6700+ Google Scholar citations and an h-index of 30. In 2015 he was awarded the Complex Systems Society's 2015 Junior Scientific Award for "outstanding contributions in Complex Systems Science" and he is the editor of the book Social Phenomena: From Data Analysis to Models (Springer, 2015).
Adjunct Faculty at School for the Science of Health Care Delivery, Arizona State University
Trained as an oculofacial reconstructive surgeon at the University of Wisconsin, I spent the first 25 years of my career caring for patients, teaching and performing basic and clinical science research. Along the way I was given increasing responsibilities for clinical quality improvement and realized the importance of clinicians' involvement in this activity. In 2006, changes in my professional trajectory led me to obtain a master's degree in medical management from the University of Southern California. Soon afterwards I was introduced to complexity science and non-linear systems dynamics. While I still see patients, since 2007, my major academic thrust has been applying the tools of systems and complexity sciences to understanding performance, particularly in health care. I believe it is imperative to introduce the next generation of health care professionals to these tools, and that is the basis for my excitement with the School for the Science of Health Care Delivery at ASU. My current research interests include: agent-based modeling of performance; computational analysis of health disparities; knowledge transfer mechanics and methodology; simulation of population change, particularly as it relates to health.
Investigador Asociado at Facultad Politécnica - Universidad Nacional de Asunción
I received the B degree in Computer Programmer from Intercontinental Technological University, Paraguay and received the B. Eng degree in Production Systems Engineering from National University of Asunción, Polytechnic Faculty, Paraguay. I`m currently studying the Master of Science in Electrical Engineering at the Polytechnic Faculty of the National University of Asunción. Currently i work as a Associate Researcher at the Energy Systems Research Group of the Polytechnic Faculty of the National University of Asunción, Paraguay. My research interests include Economic Complexity, multi-criteria decision making and others. I am the author and co-author of several articles published in several magazines, congresses and seminars.
Ivan Gonzalez Torre
PhD fellowship at Techincal University of Madrid
I have studied aeronautical engineering at Technical University of Madrid (Spain). Then, I started to collaborate with the Complex System research group of the university and nowadays I am doing my PhD in Physics of Complex Systems. I am working in different projects: multifractal characterization of soil porosity, emergence of linguistic laws and complex systems approach of number theory problems. I have recently done an internship at Telefonica I+D where I was researching in some machine learning classification problems. I am interested in almost everything.
My work as a researcher began when I did my (physics) Ph.D. at the University of Zaragoza in 2012. I am a member of the Institute for Biocomputation and Physics of Complex Systems (BIFI) of the University of Zaragoza, where currently I work as a researcher in the Complex Systems and Networks Lab (COSNET). My research interests are mainly focused on Evolutionary Game Theory, Social Dynamics, Biophysics and Complex Networks. My recent projects are related to applications of Physics and Mathematics to Social Sciences and Biology and are aimed at uncovering the mechanisms underlying social and economic behavior, including theoretical and experimental studies about cooperation in human communities.
Assistant Professor at Department of Mathematics, CIMA-Research Centre for Mathematics and Applications, Universidade de Évora
I obtained my PhD Mathematics at the University of Lisbon, Instituto Superior Técnico (Portugal), in 2002, under the supervision of José Sousa Ramos. The subject of the thesis was the Sistemas Dinâmicos de Baixa Dimensão e Fluxo Geodésico no Bitoro. I spent one year at the INSA, Toulouse, France, in 1998, during the phD, 4 months in Kings College London in 2010 and 2 months in UCLA, Los Angeles, in 2017. I am also research scientist at the Research Centre for Mathematics and Applications, Portugal.
at Johannes Kepler University Linz
I am a research associate at the Institute for the Comprehensive Analysis of the Economy (ICAE) at the Johannes Kepler University Linz. I hold an degree in social sciences, economics and law from the University of Erfurt, Germany, and obtained my PhD in economics at the Institute for Institutional and Innovation Economics at the University of Bremen, Germany. The thesis contained several papers on the application of evolutionary and complexity approaches to economics and was entitled „A Systemic Framework for the Computational Analysis of Complex Economies“. It was awarded the price for the best dissertation in economics at the University of Bremen in 2017. My research interests include computational economics, development economics, network theory, game theory and international economics. More generally, I am interested in transdisciplinary approaches to economics, bringing together theory and methods from the social sciences, philosophy and complexity sciences. My research on the evolutionary analysis of social institutions, the methodology of social sciences and the microeconomic effects of free trade agreements has been published in Journals such as Computational Economics, the Journal of Institutional Economics and the Journal of Economic Issues, and was awarded various prizes for young scholars.
at The University of Sheffield
at Vrije Universiteteit Brussel
I am a Research Fellow of Research Foundation Flanders (FWO), working at Vrije Universiteit Brussel. Previously, I did a postdoc at Imperial College London, Complexity & Networks Group and my PhD at Universidad Carlos III de Madrid. I am working in different aspects of Complex Systems, Game Theory (both experimental and theoretical), Complex Networks and it's application in different disciplines from Economy to Archaeology, as well as the fundamental models of Complex Systems etc.
Juan M Guerra
Associate Professor at University of Las Palmas de Gran Canaria
Associate Professor in the Department of Quantitative Methods in Economics and Management, University of Las Palmas de Gran Canaria, Spain. My main field of research focuses on the construction of dynamic models and the application of optimum control techniques to biological and economic phenomena (marine culture, tourism, etc.). Recently, I am applying the complex networks methodology to fishery, tourism and commerce, among others.
at Bogazici University
I am a PhD Candidate at Bogazici University, Istanbul. My research interests can roughly be categorized under the keywords network science, complex systems, and data science. I am currently focusing on the intersection of machine learning and networks, and applications of machine learning on graph databases.
Harsha Gwalani PhD Student Department of Computer Science University of North Texas, Denton, Texas, USA Email :- firstname.lastname@example.org LinkedIn : https://www.linkedin.com/in/harsha-gwalani-7b348847?trk=hp-identity-name Phone:- +1(469)(767)(6151) Research Interests: Optimization and partitioning algorithms, graph theory, disease modelling, computer graphics, data mining and machine learning. Software Skills : Platforms: Linux, Windows Languages: Java,C++, C, Perl, Matlab Web:HTML5.CSS5,PHP, Symfony, Smarty Tools: QGIS, ArcMap, Weka DBMS: MySql, PostgreSql, Oracle,SQL, REDIS Education: Bachelor of Technology (Information Technology ) 2014 Malaviya National Institute of Technology, Jaipur, India. 8.47/10.00. Current GPA : 4.0 Employment Record: August 2015- Present:- Research Assistant, Center for Computational Epidemiology & Response Analysis (CeCERA), UNT, Denton, Texas, USA. April 2015 – July 2015 :- Senior software engineer, Info Edge India Limited, Noida, India. June 2014 – March 2015 :- Software engineer, Info Edge India Limited, Noida, India. Projects: (GitHub : https://github.com/harsha2412) 1. Computational approaches to minimize access disparities in bio emergencies Data collection and integration to quantify vulnerability indicators. Resource allocation algorithms to allocate scarce resources optimally 2. Disease modelling for vector borne diseases Simulation of Zika transmission in French Polynesia Poster presentation at the conference on complex systems, 2016 in Amsterdam. 3. Automated classification and clustering of brain tumors using brain brain MR images 4. Multi document summarization using SVM and K-means 5. Migration from file based web caching to Redis. Comparative study between Redis and memcached. 6. Third party library creation for use across multiple modules Library for caching job profile images. Library for accessing (select/update/add) jobs from the database. Publications: Collection and Integration of Multi-spatial and Multi-type Data for Vulnerability Analysis in Emergency Response Plans, Harsha Gwalani, Armin R. Mikler, Suhasini Ramisetty-Mikler, Martin O’Neill, Advances and New Trends in Environmental Informatics (Springer Journal, September 2016) Classification of brain tumours Using Genetic Algorithms as a Feature Selection Method (GAFS), Harsha Gwalani, Namita Mittal, Ankit Vidyarthi, ICIA 2016, Pondicherry, India (ACM digital library). Automated Cluster Identification and Merging, Ankit Vidyarthi, Namita Mittal, Harsha Gwalani, Pragati Goyal, Confluence 2014, IEEE Xplore. Computational Methods for Data-Driven Response Plan Design ,Saratchandra Indrakanti, Martin O'Neill, Chetan Tiwari, Joshua Urbanovsky, Harsha Gwalani, Armin Mikler, Socio-Economic Planning Sciences, 2016 (Submitted)
Executive Director, Data Science Initiative; Director, Complex Systems Institute at University of North Carolina at Charlotte
Mirsad has over thirty years of information technology experience combining business and academic environments. Mirsad’s professional career started in Bosnia and Herzegovina where he was a software developer at Rudi Cajavec, and the Vice President for Research and Development at Medical Electronics. Dr. Hadzikadic joined the UNC Charlotte faculty in 1987 after receiving his Ph.D. in Computer Science from Southern Methodist University where he was a Fulbright Scholar. Mirsad has published three edited books and over 40 scientific papers published in journals and conference proceedings. Mirsad has made presentations at national and international conferences, leading information technology firms, and universities. His research activities have been primarily focused on machine learning, data mining, data science, cognitive science, health informatics, and complex adaptive systems. From 1991 to 1997, Mirsad served as the Director of the Department of Medical Informatics and the Department of Orthopedic Informatics at the Carolinas HealthCare System. In 1998, he joined Deloitte and Touche Consulting Group as Manager in the Health Systems Integration Service Line. Mirsad returned full time to the University in January 1999 to assume the Chairmanship of the Department of Computer Science and serve as the Associate Director of the School of Information Technology. Mirsad helped to shepherd the transition from a school in the College of Engineering into an independent College of Computing and Informatics, and served as its Founding Dean. Mirsad is currently serving as a Professor of Software and Information Systems, the Founding Director of the Complex Systems Institute, and the Executive Director of the Data Science Initiative at UNC Charlotte. Mirsad’s service to the profession and community has been exemplified through the following sample engagements: President of the Computational Social Science Society of the Americas, Editor of the Journal of Policy and Complex Systems, Chair of several national and international conferences, Founding President of the Advisory Council for Bosnia and Herzegovina, and the Founding President of the Bosnian-Herzegovinian-American Academy of Arts and Sciences.
at University of Texas-Austin
Hi! I'm a PhD student at UT-Austin.
PhD student at École Normale Supérieure
Theoretical physics; physics of complex systems; applications to the energy industry.
Lecturer in Complex Systems at Sydney University
Omri Har Shemesh
PhD Candidate at University of Amsterdam
Postdoctoral Research Officer at University of Oxford
Torsten Heinrich studied economics at the Dresden University of Technology, Germany, and the Universidad Autónoma de Madrid, Spain. He received his PhD from the University of Bremen, Bremen, Germany, in 2011 with a thesis on technological change and growth patterns with network effects. Having held a post-doc position at the University of Bremen until 2016, he joined INET Oxford in October 2016. He currently is a Postdoctoral Research Officer at the Oxford Martin Programme on Technological and Economic Change of the Oxford Martin School and an Associate Fellow at INET Oxford. His research interests include agent-based modeling, economic complexity, technological change, industrial dynamics, and game theory.
Associate Professor (in French MDC-HC, HDR) at Université de Cergy-Pontoise
I’m a physicist and since 1993 I'm associate professor at Laboratoire de Physique Théorique et Modélisation (LPTM), a laboratory of CNRS- Cergy Pontoise University. I did my undergraduate studies at Buenos Aires University, I have obtained my PhD in Physics in 1992 at the Institut Nationale des Sciences Appliquées (INSA) Toulouse, France and my HDR (“Habilitation to Conduct Research” French diploma) in 2015, at Cergy Pontoise University. I think that true interdisciplinarity, where specialists of different disciplines put together their expertise in order to create new knowledge, is the key of the understanding of many open problems. For this reason I participate in different organizations that act for development of Complex Systems studies: I’m a councilor of the Complex System Digital Campus (CS-DC Unitwin UNESCO) and member of the Direction Board of the Institute of Complex Systems of Paris-Ile-de-France (ISCpif). I’m interested in the study of Complex Systems not only in my own discipline, but also in other fields like Ecology or Social Sciences, where I apply the point of view of Physics, using the tools and the concepts of Statistical Physics and Dynamical Systems. For instance I work on a complex network approach of Mutualistic Ecosystems, (like plant-pollinators or plant-frugivores networks), and also in problems of Cultural and Opinion Dynamics, both using a data based approach and also a by the study of theoretical models. I work on numerical simulations, using advanced Monte Carlo methods and multi-agent simulations. I’m very concerned about the transmission of this way of working to young students, in this respect, in collaboration with a colleague of LPTM, I have created and co-directed, since 2010 to 2015, the Master in Theoretical Physics and Applications (fully taught in English) of the Cergy Pontoise University, where in particular, I was responsible for the Complex Systems Path of that master program. Keywords: Phase Transitions and Critical Phenomena, Disordered Materials, Complex Networks, Mutualist Ecosystems, Cultural and Opinion Dynamics, Agent-based Model, Monte Carlo Simulations.
Deputy Director of Research, Principal Investigator at National Institute of Genomic Medicine
Research Associate at University of Cambridge
PhD in Hydraulic Eng., MSc in Statistics. My research interests extend to challenges related to critical infrastructures to support the decision-making process for smart and resilient cities. Right now, I'm working as a Research Associate in Distributed Intelligent Systems at the Institute for Manufacturing at the University of Cambridge. I'm involved in an EPSRC and BT Prosperity Partnership project: Next Generation Converged Digital Infrastructure. My main research is on multi-agent systems and complex networks modelling for optimising the topology configuration and resilience of telecommunication networks.
Head of the Department at Institute of Computer Science, Czech Academy of Sciences
PhD candidate at ETH Zurich
I am Moritz Hoferer. I am a PhD student at the Chair of Macroeconomics: Innovation and Policy at ETH Zürich, Switzerland (expected graduation in Fall 2021). I am interested in the use of computational methods for both theoretical modeling and the analysis of data in application on political campaigns on complex networks. As part of my doctorate in the group of Hans Gersbach, I conduct research about opinion formation in the context of political campaigns, to obtain a better understanding how campaigns work. During my Physics (B.Sc. & M.Sc.) studies at Ludwig Maximilian University Munich and at the University of Milan, I worked on projects about Theoretical and Computational Biophysics in the groups of Erwin Frey and Stefano Zapperi. Simultaneously, I gained additional knowledge in the fields of Economics and Dispute Resolution at LMU Munich and completed two internships in different divisions of an international consulting company.
Ph.D studen at IRSTEA
Ph.D student in complex system modelling
Research Officer at Athabasca University
Research Officer at Athabasca University
Associate Professor at Faculty of Engineering, UNAM
Aida Huerta Barrientos recived her Ph.D in Operations Research from National Autonomous Mexico University (UNAM), and currently is Associate Professor of the Graduate Department of Systems Engineering at the School of Engineering, UNAM and she is an invited young research at the Center for Complexity Sciences, UNAM, in the Program for Social Complexity.
at University of Massachusetts, Boston
PhD Student at Queen Mary University of London
I am a physicist with a strong interest in applied sciences. My research deals with Complex Networks and Data Science, with a particular focus on the study and modeling of social and urban systems. I am currently doing a PhD at Queen Mary University of London within the Complex Systems and Networks Research Group under the supervision of Vito Latora (QMUL) and Elsa Arcaute (Centre for Advanced Spatial Analysis, UCL). I am also collaborating with the Dynamical Systems and Statistical Physics Group (QMUL). I spent the last year at The Alan Turing Institute (London) as part of the enrichment doctoral scheme. Previously, I worked at the ISI Foundation (Turin, IT) within the Data Science and Mathematics & Foundation of Complex Systems groups. Before, I was a Data Science Intern at the United Nations - Universal Postal Union (Bern, CH).
Ph.D. student at Queen Mary University
Postdoctoral Researcher at Maimónides Institute for Biomedical Research at Córdoba
Degree in Biology (2006) at the University of Córdoba (UCO, Córdoba, Spain); Biomedical Translational Research Master (2011) at the UCO; PhD in Biomedicine (2015) at the UCO/Maimonides Institute of Biomedical Research of Córdoba (IMIBIC) in Hormones & Cancer group. Predoctoral stays in 2013 at the National Centre for Cancer Research (CNIO, Madrid, Spain) and Università degli Studi di Ferrara (Ferrara, Italy). MSCA-Cofund Postdoctoral researcher (2016-2017) at the William Harvey Research Institute, Queen Mary University of London (London, UK). Juan de la Cierva (Formación) Postdoctoral Researcher (2018-now) at the IMIBIC again (Córdoba, Spain). I started working on cellular and molecular endocrinology/oncology, mainly on splicing variants and defects, I have worked with human primary tumors (pituitary, adrenal, brain and prostate), cell lines, and epigenetics on KO mouse models during my postdoc in the UK. Currently, I am working with leucocytes derived from autoimmune disease patients, focused on splicing and inflammation. In 2020, I will start as Sara Borrell Postdoctoral Researcher back in Hormones and Cancer (IMIBIC), focused on splicing on neuroendocrine tumors and pancreatic cancer. I like communicating science: @avpr1b & @tdeincubacion
Assistant professor at Central European University
I'm assistant professor at the Department of Network and Data Science of Central European University (CEU), visiting researcher at Aalto University (Finland) & UNAM (Mexico), and CEO & co-founder at Predify (Mexico), a data science consulting startup. I’m also Academic Editor at PLoS ONE, member of the European Humane AI project, and member of the Data Analytics Faculty Group of the Executive MBA program at CEU. My research involves the empirical analysis and mathematical modeling of dynamics of/on networks, including analytical formalisms to describe network dynamics. I’ve worked in information and behavioral spreading over techno-social networks, in the dynamics of rank and hierarchies in complex systems, in conflict emergence and resolution in online collaborative environments, in opinion formation and deception in adaptive social networks, and in the sustainability of urban mobility. Previously I’ve been data scientist in the Finnish gaming industry, research fellow in computational social science (CSS) at UNAM & CIDE (Mexico), and member of the Mexican National System of Researchers (level I). I did a postdoc (by the Academy of Finland) and got my PhD in Computational Science (with distinction) at Aalto University, and both my M.Sc. and B.Sc. in Physics at UNAM. I’ve taught graduate courses in CSS, network science & data science (CEU, UNAM, CIDE, Aalto), supervised students at under- & graduate levels, and received research funding from the World Bank, EU, Conacyt (Mexico) & the Mexican Tax Office. I recently co-edited a Special Issue in CSS at the journal Information, and have been in the organizing and program committees of several editions of CCS, NetSci, ICCS, Complex Networks, and DHN. I also like to write fiction, train martial arts, and co-develop games in our indie studio in Mexico. Find out more on my website at: www.gerardoiniguez.com
PhD Student at University Of Turin
at Department of Enterprise Engineering, University of Rome Tor Vergata
full Professor at Tottori University
Akira Ishii is a professor of Applied Mathematics and Physics at the Tottori University, Japan. He is a member of the Physical Society of Japan and the chairman of the Computational Social Science Japan. He obtained a Ph. D. from Waseda University in Tokyo in 1985. After a postdoctoral fellow at the University of Tukuba in Japan and the Imperial College London, he obtained a tenured research position at Tottori University as a assistant professor of Physics. He has experience to stay Fritz Haber Institute of the Max Planck Society as guest professor. He organized two international conference and workshop on solid state physics, one international workshop in Japan and two international workshops in IEEE BigData on applications of big data analysis to computational social science at 2016 and 2017. He is an expert in the solid state theory and the sociophysics as complex systems. He presented a sociophysics theory "mathematical model for hit phenomena" which can be applied to many social phenomena including the prediction of every year "general election" of AKB48 group (very popular Japanese pop music group having about 300 young girls).
Ph.D student at University of Ilorin, kwara state, Nigeria
A graduate of Mathematics from University of ilorin B.sc(maths). I had my M.sc from University of Ibadan and currently a Ph.D student from University of Ilorin, kwara state - Nigeria.
at University of Colorado Boulder
Emeritus Prof at Universidad Simon Bolivar
Senior researcher in evolution of societies and bioeconomics
Complex Systems Data Scientist at Abraxas BioSystems
I am PhDc in Systems Biology. I'm Physicist interested in complex systems. I began my doctoral work focused on cancer metabolism, but in recent years I have explored topics as marketing for eCommerce, modeling complex systems for logistics, finance, inventory minimization, fraud prevention and recently in Neuroscience and Social physics.
at Indian Institute of Technology Indore
Sarika Jalan is a professor of Physics and an adjunct faculty in the Center for Biosciences and Biomedical Engineering at the Indian Institute of Technology Indore, India. She is also holding a visiting scientist position at Lobachevsky University, Russia. She obtained her PhD from Physical Research Laboratory in Physics with a specialization in Nonlinear dynamics and complex systems. After post‐doctoral experiences at Max-Planck-Institutes (MPI-MiS and MPI‐PKS) Germany and NUS Singapore, she established complex systems lab at IIT Indore in 2011 which focuses on interdisciplinary research by utilizing techniques from Physics, Mathematics, Bioinformatics, and Computer Science to solve real-world complex systems problems. She has published around more than 80 peer-reviewed journal articles. Currently, she is PI/Co-PI of various network science and systems biology projects funded by national and international agencies. She is an editorial board member of Chaos Solitons Fractals, Chaos: An interdisciplinary journal of nonlinear science, and Scientific Reports. She is also a member of Asian Network of Complexity Scientists, Complexity Institute Nanyang Technological University, Singapore. Her main research interests are complex networks, multilayer networks, spectral graph theory, spatio-temporal chaos, synchronization, and computational biology. http://www.iiti.ac.in/~sarika
Senior Lecturer at RMIT University
I received my Ph.D. degree in Computer and Communication Sciences from the Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland, in 2009. My PhD was under supervision of Martin Hasler on Synchronisability of Complex Networks. I then joined Sharif University of Technology as an Assistant Professor. I was awarded Australian Research Council DECRA (Discovery Early Career Research Award) Fellowship and also RMIT's Vice-Chancellor Research Fellowship in 2014. I then joined RMIT University as Senior Lecturer and co-leader of Complex Systems Group. My research interests include network science, dynamical systems, social networks analysis and mining, and human brain functional connectivity analysis. I am an Associate Editor of the IEEE Canadian Journal of Electrical and Computer Engineering and Springer’s Complex Adaptive Systems Modelling.
Lecturer in Applied Mathematics at Dept of Mathematics, UCL, London, UK
Lecturer in Applied Math at UCL (London, UK), working on Complex Systems, Evolutionary Game Theory, Theoretical Neuroscience and Physics of Information. Previously, Senior Lecturer in Statistical Physics (Coventry Univ., Coventry, UK), Sr Researcher in Blockchain and Bitcoin for a London startup. "Statistical Physics and Computational Methods for Evolutionary Game Theory, M.A. Javarone, Springer 2018"
Associate Professor at Strasbourg University
I am Associate Professor in Computer Science at Strasbourg University. I am a member of the Complex Systems and Translational Biology team of the ICUBE laboratory. My research topics are simulating biological immune systems on which to test new vaccines, as well as implementing Deep Learning algorithms on massively parallel GPGPU cards.
Physicist at Wrocław University of Science and Technology
Henrik Jeldtoft Jensen
Professor at Imperial College London
at The Ohio State University at Lima
at Asia Pacific Center for Theoretical Physics (APCTP)
Hang-Hyun Jo joined APCTP as an Assistant Professor/JRG Leader in May 2017. He earned his PhD in physics from Korea Advanced Institute of Science and Technology (KAIST) and worked as a postdoc researcher at Korea Institute for Advanced Study (KIAS) and Aalto University in Finland, and as a research assistant professor at Pohang University of Science and Technology (POSTECH).
Professor of Complexity Science and Design at Open University
at Lawrence Berkeley National Laboratory
Andrew Jones is Deputy Director of the Climate Readiness Institute and a research scientist in the Climate and Ecosystem Sciences Division at Lawrence Berkeley National Laboratory where he leads the Earth Systems and Society Program Domain. His research uses quantitative Earth system science tools to gain insight into how humans affect the climate and vice versa. He is experienced in both earth systems modeling and integrated assessment modeling, and has been closely involved with the Department of Energy's effort to combine the best features of these two model paradigms – a project known as the Integrated Earth System Model. Andrew holds a B.A in Mathematics and Psychology from Washington University in St. Louis, and an M.S. and Ph.D. from the interdisciplinary Energy and Resources Group at the University of CA, Berkeley. Andrew helps to lead a new organization in the San Francisco Bay Area known as the Climate Readiness Institute, which seeks to identify and address critical knowledge gaps related to climate adaptation and mitigation at the regional scale by connecting the scientific research community with public and private partners. Central to his role in the Climate Readiness Institute is the translation of climate information and uncertainties into insights that can guide decision-making. Dr. Jones is currently leading a project to examine how climate change will interact with urban heat islands in urban regions to alter the frequency of extreme heat events. He is also helping to develop the Department of Energy’s next generation global climate model – The Accelerate Climate Model for Energy.
senior Researcher at CNRS
Bertrand Jouve is a senior researcher at the French National Centre for Scientific Research (CNRS). He studied pure mathematics and received his PhD in Cognitive Sciences, at the frontier between mathematics and neuroscience, at the the School of Advanced Studies in the Social Sciences (EHESS) in Paris. His work focuses on the construction of mathematical models of graph theory to be used for the analysis of complex networks. Over a decade, he has worked at the boundary of neurosciences and, for 15 years, he has been working at the boundary of Social Sciences and Humanities. He was Scientific Deputy Director at the CNRS Institute of Social Sciences and Humanities. In 2015, he founded the Toulouse Institute for Complex System Studies (XSYS).
at ISI Foundation
PhD Student at Panjab University
B.Tech.(Information Technology), M.E.(CSE), PhD (Pursuing)
I am a postdoctoral researcher at the Department Computational Social Science at GESIS – Leibniz Institute for the Social Sciences and a lecturer at the Institute for Web Science and Technologies at University of Koblenz-Landau in Germany. My current research focuses on computational and network approaches for addressing societal challenges such as gender disparities in collaboration and citation networks, visibility of minorities in social and technical systems, algorithmic biases, and sampling hard-to-reach groups. In addition, I focus on variety of social processes using network theoretic approach such as emergence of culture in Wikipedia, spreading of information and norms, and perception biases by using mathematical models, digital traces and online experiments.
Associate professor at Central European University
Márton Karsai, PhD, HDR, is an Associate Professor in the Department of Network and Data Science at the Central European University, member of the IXXI Complex System Institute and fellow of the ISI Foundation in Torino. His research interest falls within human dynamics, computational social science, and data science, especially focusing on heterogeneous temporal dynamics, spatial and temporal networks, socioeconomic systems and social contagion phenomena. His main expertise are in analysing large human interaction datasets and in the development of data-driven models of various social phenomena.
Postdoctoral Fellow at University of Toronto
PhD at Center for Network Science - Central European University
Tamer Khraisha is a Ph.D. candidate at the Center for Network Science at the Central European University in Budapest with particular interests in Innovation Networks, Diffusion of Financial Innovations and Economic Networks. Tamer holds a master’s degree in Economics and Economic Policy a B.A. in Financial Economics from the University of Bologna, Italy. His PhD thesis examines how the diffusion and evolution of financial innovations can be modeled as a process of search on networks using local information. He is also interested in how the space of technological solutions could be modeled as a fitness landscape using the theory of Gaussian Random Fields. Other research projects include the modeling of technological lock-ins and lock-outs by introducing concepts like local information and switching costs. Tamer is open to collaborating on projects which involve technology and complex networks.
Associate Professor at University of Warwick
Moses joined KEMRI-WTRP in 2009 as a Research Intern to investigate the spatial and temporal characteristics of the respiratory syncytial virus in Kilifi. In the same year, he became an Assistant Research Officer to lead studies on human social contact patterns and their importance in the spreading of respiratory infections. He has published three papers on social contact and network patterns and their potential impact on vaccination strategies. Currently, he is a PhD student at the Open University. He is leading an exciting new study to further understand how people interact in schools, households and the community using wearable proximity (RFID-based) sensors and GPS tracking devices. He hopes to use this data to design intervention measures such as alternative vaccination plans or social distancing to prevent the spread of respiratory infections. Moses holds a Master of Science degree in Demography and Health (London School of Hygiene and Tropical Medicine, 2013) sponsored through the Wellcome Trust Masters Fellowship scheme, and a Bachelor of Science Degree in Geomatic Engineering and GIS (Jomo Kenyatta University of Agriculture and Technology, 2008). He has also undergone training in human ethics in research, Geodatabase Development in the ArcGIS environment, and is proficient in statistical analysis using STATA and R. He is also a member of the John Snow Society. In his spare time, Moses volunteers his knowledge and skills in youth mentorship programmes and various community-based projects in Kilifi, his home town. He has been a Rotarian since 2009, and became the youngest Rotary President in Kenya, 2014-15. During his tenure, he co-wrote and won a Rotary grant worth USD 40,000.00 to improve water and sanitation facilities in various schools in rural Kilifi. He also led a campaign to provide 130 school girls with free sanitary towels for one year. His Club won an award for garnering a 110% increase in membership. Moses is also a Board Member of the Kilifi Kids.
DPhil Student at University of Oxford
My background is in Physics with a Bachelor and Master from the Humboldt University Berlin. In 2011/12 I studied at the University of California at Santa Barbara. Currently, I am a PhD student at the University of Oxford and work on the application of multilayer networks on protein interaction data. In the past, I worked on topological data analysis and neuronal networks.
Nuclear nonproliferation and proliferation detection research at Special Technologies (US Gov't) and Simple Research in Santa Barbara, California.
PhD-student at University of Amsterdam
at Isfahan University of Technology
I am Reihaneh Kouhi, third year joint Ph.D. student of “physics” and “Transportation Engineering” departments. I am working on traffic data analysis of highways using statistical physics methods such as K-mean clustering algorithm, Kramers-Moyal coefficients, Fokker-Planck equations and Shannon Entropy. These methods enable us to analyze and get information from the data set. I am working on complex system branch since my master duration. My master thesis title was on “synchronization of Kuramoto model in the presence white noise on Regular and Small-World networks.” which causes to a PRE paper. I found complex system fascinating and applicable branch while it studies how parts of a system give rise to the collective behaviors of the system, and how the system interacts with its environment. So I chose my Ph.D. Thesis in this field, studying traffic data analysis of the highway with a goal of predicting traffic jam. My works on this caused to two papers (under submission): Three phase classification of an uninterrupted traffic flow: a k-means clustering study (available on arxiv) and Forecasting traffic states with Fokker-Planck equation.
Senior researcher and head of the Department of Theoretical Methods at Institute of Measurement Science, Slovak Academy of Sciences
Anna Krakovská is the head of the Department of Theoretical Methods, Institute of Measurement Science, Slovak Academy of Sciences. Current research interests: signal and time series analysis by methods of nonlinear dynamics; applications to complex physiological systems; reconstruction of multi-dimensional state portraits, noise reduction, modeling, prediction; study of causal relations; biological signals processing (ECG, EEG); complexity estimation using measures known from the fractal theory and theory of chaos
at AGH University of Science and Technology
Professor at Technical University of Munich
2017- now: External Faculty Fellow - Complexity Science Hub Vienna 2016- now: Lichtenberg Professorship - Technical University of Munich 2016- now: Tenure-Track Assistant Professor - Technical University of Munich 2016: Habilitation (Priv.-Doz.) in Applied Mathematics - Vienna University of Technology 2013-2016: APART Fellow - Austrian Academy of Sciences 2013: Leibniz Fellow - Mathematisches Forschungsinstitut Oberwolfach (MFO) 2011-2016: Postdoctoral Researcher - Vienna University of Technology 2010-2011: Postdoctoral Researcher - Max Planck Institute PKS 2008-2010: PhD in Applied Mathematics - Cornell University 2006-2008: MSc in Applied Mathematics - Cornell University 2005-2006: CASM / MASt - University of Cambridge 2002-2005: BSc in Mathematics - Jacobs University Bremen
Associate Professor at Aristotle University of Thessaloniki
Dimitris Kugiumtzis (BSc in Mathematics at the Aristotle University of Thessaloniki, MSc and PhD in Informatics at the University of Oslo) is Associate Professor at the Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Greece. His main research area is time series analysis in conjunction with dynamical systems, chaos and complexity, as well as computational statistics and data mining. Applications extend from neuroscience to climate and finance. He has published 60 journal papers and many international and national proceedings papers. He has participated in several national and European research projects, acted as EU evaluator and he is regular reviewer for a number of journals. He currently supervises 3 PhDs and 6 MScs, and has supervised 4 completed PhDs and over 20 MScs.
Research Scholar at Indian Institute of Technology (Banaras Hindu University), Varanasi-221005, India
Reader in Applied Mathematics at Queen Mary University of London
Lucas studied Theoretical Physics at Universidad Complutense (Spain) and graduated with a PhD in Physics of Complex Systems from Technical University of Madrid in 2009. Since 2013 he is a permanent (tenured) faculty member of the School of Mathematical Sciences at Queen Mary University of London, where he currently holds the position of Reader in Applied Mathematics (US equivalent Associate Professor). Additionally he is an EPSRC Early Career Fellow (2017-2020). Before that he was Assistant Professor (2010-2013) at Technical University of Madrid, and he has been a postdoc and/or guest researcher in several institutions including University of Oxford, UCLA, IFISC or University of Catania. His research interests span different areas of Complexity Science, including methodological and theoretical works in nonlinear dynamics, critical phenomena, time series analysis and network science, as well as their application to problems in physics, computational social science and quantitative linguistics.
Senior Lecturer at Sunway University
Associate Professor at University of Oxford
After a PhD in Physics at ULB, Post-docs at ULg, UCLouvain and Imperial College, and a Professorship in the department of Mathematics of the University of Namur, I am currently Associate Professor in the Mathematical Institute at Oxford University. My recent research includes the development of algorithms to uncover information in large-scale networks, the study of empirical data in social and biological systems, and the mathematical modelling of human mobility and diffusion on networks. I have authored more than 60 publications in peer-reviewed journals and conference proceedings, with around 10000 citations (Google Citations). I also act as an academic editor for PLoS One, Advances in Complex Systems, the European Physical Journal B and Network Neuroscience.
PhD Candidate at Ca' Foscari University
Enthusiastic economist and researcher, Francesca is now pursuing a PhD at Ca' Foscari University in Climate Change Sciences and Management (class 2021). She is graduated in 2015 from Bocconi University (Milan) in MSc Economic and Social Sciences. She nurtured experience in Climate Services in multiple sectors, presenting at international conferences and meetings. Prior to that, she gained 3 year-experience in Impact Evaluation in Agriculture, Economic Research, HHs surveys, data collection and analysis. She worked for international organisations (CIAT and FAO), private consultancy firms (The Economist Intelligence Unit) and research institutions (Bocconi University) in Europe, Africa and Central America. Italian native speaker, fully proficient in English and Spanish, with intermediate knowledge of French.
PhD Student at Leipzig University
Born and living in México. BS in chemical Industrial Engineering, Universidad de Sonora (1968) MS in Biomedical Electronics, University of Arizona (1985) Worked as Engineer in the Food, Metal Transforming and Water Treament Industries. Had Teaching positions at Universities os Sonora, Baja California and Arizona. Worked for Institute of Astronomy, and the Satelllite Program at UNAM Worked at Administrative -Technical Positions at LMT (Large Millimeter Telescope) and Guillermo Haro Observatory at INAOE (National Institute for Astrophysics, Optics and Electronics) Conacyt, México Now, although retired, getting ready for research in 4E Cognitive Sciences.
Divya Sindhu Lekha
Post-Doc Fellow at Cochin University of Science and Technology
I am a post-doc fellow at Cochin University of Science and Technology, Kerala, India. My PhD in metric graph theory (under the guidance of Dr. Manoj Changat, Professor, University of Kerala) was my motivation to start investigation on application of graph metrics in complex networks and there by in complex systems. My mentor is Dr. Kannan B, Associate Professor, Department of Computer Applications, CUSAT. My project on complex networks is funded by NPDF fellowship of Scientific and Engineering Research Board (SERB), Department of Science and Technology (DST), Government of India.
Post-doc at Department of Physics, University of Bari
I'm a post-doc at the Department of Physics, Univeristy of Bari, Italy. I graduated in Physics at the same department. My research interest is in complex networks, machine learning and computational neuroscience. Currently, my research focus is on brain network analysis for an automatized Alzheimer's disease diagnosis and for the recognition of AD-related patterns.
Postdoctoral Research Fellow at Singapore University of Technology and Design
I am a postdoc in cryptoeconomics at the iTrust Center of Singapore University of Technology & Design (SUTD), hosted by Georgios Piliouras. Before coming to Singapore, I earned my PhD in Game Theory (Operations Research) from the Mathematics Department of Athens University where I was advised by Costis Melolidakis. During my studies, I was a fellow of the Onassis Foundation. I hold a Diplom in Mathematics from TU Darmstadt with distinction and a Master’s degree in Statistics & Operations Research from Athens University as valedictorian. My interests are in Game Theory, at the interface of Mathematics, Economics and Computer Science. In my PhD, I studied alternative equilibrium concepts, pricing under stochastic demand and oligopolistic competition. I also worked on voting theory and strategic behavior in queueing systems. Currently, I am using Game Theory to study blockchains and cryptocurrencies.
at Beijing University of Chemical University
Economist by training but complex system research by heart. My research interests are mainly related to understand the role of conventions and social norms in individuals' decision making on economic, social issues and sustainability policy. In order to achieve this understanding I make use of Game Theory, Social Interaction Models, Complex Network and Dynamical Systems and I moved from Rome to Philadelphia to end up in Madrid…cities with different social norms to learn to survive and to study to gain an academic position. I obtained my PhD in Economics Theory and Institution in 2015. I am now affiliated at Carlos III University of Madrid and at GISC as postdoctoral research fellow.
Research Fellow at Department of Computer Science, University College London
I am a Lecturer with the Financial Computing & Analytics Group at the Department of Computer Science of University College London, with a joint appointment at the Systemic Risk Centre of the London School of Economics and Political Science. I currently hold a 5-year Early Career Fellowship grant from the UK Engineering and Physical Sciences Research Council to fund my ongoing research about reputation and trust in social networks. I graduated in Physics at the University of Pavia (Italy), where I also obtained a PhD in Theoretical Physics. Before joining UCL, I have been a Postdoctoral Fellow for three years at the Abdus Salam International Centre for Theoretical Physics in Trieste (Italy).
Senior Lecturer at The University of Sydney
Dr. Joseph Lizier is an ARC DECRA fellow, and Senior Lecturer in Complex Systems at The University of Sydney (since 2015). Previously he was a Research Scientist and Postdoctoral Fellow at CSIRO ICT Centre (Sydney, 2012-14), and a Postdoctoral Researcher at the Max Planck Institute for Mathematics in the Sciences (Leipzig, 2010-12). He has also worked as a Research Engineer in the telecommunications industry for 10 years, including at Seeker Wireless (2006-2010) and Telstra Research Laboratories (2001-2006). He obtained a PhD in Computer Science (2010), and Bachelor degrees in Electrical Engineering (2001) and Science (1999), from The University of Sydney. His research interests include information-theoretic approaches to studying dynamics in complex systems, complex networks and neural systems, and he is a developer of the JIDT toolbox for measuring the dynamics of complex systems using information theory.
Post-doc Researcher at Istituto Nazionale di Fisica Nucleare, Bari
I am currently a post-doc researcher at Istituto Nazionale di Fisica Nucleare in Bari. I got my Master Degree in Telecommunications Engineering in 2014 and the PhD in Signal Processing and Computational Neuroscience in January 2018 at Technical University of Bari. My research interests mainly concern Complex Networks, Nonlinear Analysis and Machine Learning Techniques. In particular, currently my work is focused on the analysis of brain dynamics combining nonlinear methods and network modelling.
Rui J. Lopes
Assintant Professor at ISCTE - Instituto Universitário de Lisboa
Rui J. Lopes teaches Computer Science at the IUL - Lisbon University Institute, where he runs the Doctoral Programmes in Complexity Sciences (http://complexsystemsstudies.eu/). His PhD is in Computer Science from the University of Lancaster, UK. His research interests concern complex networks and graph theory as well as modelling complex social systems through intensive data collection and analysis. He is particularly interested in the analysis and generation models for large-scale communication networks. Webpage: http://home.iscte-iul.pt/~rhcl/
Oliver López Corona
CONACyT Research Fellow at Cátedra CONACyT, CONABIO
Trained as a physicist, my path has led me to major in Interdisciplinary Physics, Scientific Computing and Applied Mathematics. So my academic interests are broad and include Complex Systems, Game Theory (classical an quantum), out of equilibrium Thermodynamics, Artificial Intelligence, Sustainability Science, Astrophysics and Information Theory.
Full Professor at Sapienza University of Rome
Vittorio Loreto is Full Professor of Physics of Complex Systems at Sapienza University of Rome and Faculty of the Complexity Science Hub Vienna. He is presently in leave of absence from Sapienza University to lead the SONY Computer Science Lab in Paris where he also leads the team of "Innovation, Creativity and Artificial Intelligence". His scientific activity is mainly focused on the statistical physics of complex systems and its interdisciplinary applications. He coordinated several project at the EU and Italian level. More recently he coordinated the Templeton-funded KREYON project devoted to unfolding the dynamics of innovation and creativity. Loreto has published over 180 papers in internationally refereed journals and conference proceedings and chaired several workshops and conferences. He is member of the executive committee of the Complex Systems Society.
Professor at ISCTE-IUL Lisbon University Institute
Jorge Louçã teaches Computer Science at the IUL - Lisbon University Institute, where he runs the Master and Doctoral Programmes in Complexity Sciences. His PhD is in Artificial Intelligence from the University of Paris-Dauphine and the University of Lisbon. He coordinates The Observatorium research team and his research interests concern modelling complex social systems through intensive data collection and analysis. He is particularly interested by knowledge generation models in large-scale communication networks. He is also concerned by organising the Complex Systems research community, namelly regarding the Conferences in Complex Systems (ECCS and CCS), and the CS Curriculum Working Group of the CSS. Recently he participated in the creation of the UNESCO Unitwin network for the Complex Systems Digital Campus, involving institutions from Africa, Latin America and Europe. Webpage: http://complexsystemsstudies.eu/JorgeL
at The Vermont Complex Systems Center
At the Vermont Complex Systems Center, Juniper works across generations and geographical limits to make resources and knowledge on cutting-edge complexity science more accessible to those with a hunger and curiosity for learning and exploration. Juniper came to Burlington in 2018. She previously served as the Director of Education for the Santa Fe Institute, an independent complexity science research center. She is also a co-founder of MAKE Santa Fe, a not-for-profit community makerspace in Santa Fe, New Mexico. Juniper received her Master’s in the Western Classics from St. John’s College in 2013 where she completed a thesis on the nature of pleasure in work in Aristotle’s Nicomachean Ethics.
PhD student at Bruno Kessler Foundation (FBK)
With a background in theoretical and statistical physics I started in 2016 my PhD in Computational Social Sciences and Complex Systems at the University of Trento, Italy. I am working on social influence dynamics using networks. I am a member of the Mobile and Social computing group in FBK (Trento, Italy).
Professor of Mathematics, Director Wave Lab at Embry-Riddle Aeronautical University
PhD student at University of Cambridge
I am an Italian neuroscientist with a background in philosophy and cognitive science. I am interested in how the mind arises from the complex interactions between brain systems. For my PhD in Clinical Neurosciences, I work on the application of measures from network science and information theory to study the brain across multiple scales and in a variety of states of altered consciousness – such as anaesthesia and vegetative state, but also sleep and psychedelics. Ultimately, I would like to develop a landscape of altered states of consciousness, and a unified understanding of how consciousness is lost, and how we can promote its recovery in patients.
Project Scientist at University of California, Davis
I am currently a project scientist in the Physics department at UC Davis. These days I think about quantum representations of classical stochastic processes. We hope to extend the understanding of classical representations derived through information-theoretic analysis. Roughly speaking we ask, "can you build a clock with fewer quantum parts than classical parts?"
Associate Professor at AGH University of Science and Technology | Faculty of Physics and Applied Computer Science
Graduated from Faculty of Physics and Nuclear Techniques, University of Mining and Metallurgy, Kraków in 1996. PhD in computational and theoretical physics at Faculty of Physics and Nuclear Techniques, University of Mining and Metallurgy in 2000. DSc in complex systems, computational and theoretical physics at Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Kraków in 2016. His scientific interests cover studies of the complex systems by means of computer simulations (dynamics of public opinion, population aging and evolution and modelling of magnetic interactions). He wrote over 60 journal papers. Currently deputy dean at Faculty of Physics and Applied Computer Science AGH-UST and senior editor of “Open Physics”. For detailed information please visit https://orcid.org/0000-0001-9980-0363.
Postdoctoral scholar at Tufts University
I'm a postdoctoral researcher in Michael Levin's lab at Tufts University. I use bioelectric network models to study patterning and cognition in non-neural biological systems. I use information theory as well as calculus based methods to understand how spatiotemporal dependencies help cognitive dynamical models function. My background is in Computer Science, Cognitive Science and Complex Systems. I obtained my M.Sc. in Evolutionary and Adaptive Systems from the University of Sussex, and my Ph.D. in Complex systems and networks from Indiana University Bloomington.
Full tenure researcher at National Autonomous University of Mexico
Rosario N. Mantegna is professor of Applied Physics at Palermo University, honorary professor at University College London, and member of the External Faculty of the Complexity Science Hub Vienna. He was postdoc at the MPI for Quantum Optics in Munich, and at Boston University. He was professor at the Center for Network Science of Central European University, Budapest from 2012 to 2016. His research covers interdisciplinary applications of statistical physics. He is one of the pioneers in the fields of econophysics and economic networks. Rosario has been principal investigator or member of several international and national research projects.
Postdoctoral post at INSERM Researcher ICM-Institute du Cerveau et de la Moelle Épinière
He's a physicist with M.Sc in Biomedical Sciences from Universidad de Los Andes, Colombia. He holds a M.Sc degree in Physics and a PhD in Physics of Complex Systems from the Technical University of Madrid, Spain. His interests are related to modeling complex systems. His approaches came from statistical physics, systems biology, theoretical neurosciences, chaos, complexity and network science. He is an active organiser of the Latin American Complex Network conference and Brain Networks Satellite, renowned international forums of brain and complexity. His current work in our lab is aimed at understanding how functional brain networks behave by means of several neural sources (e.g. M/EEG) in different brain conditions. The interplay between dynamics & topology in brain networks, the paradigm of networks of networks, as well as the time-evolving connectivity are part of his current developments.
Computational Social Scientist at Argonne National Laboratory
Ángel José Martínez Salinas
Investigator at Universidad Autónoma Metropolitana unidad Xochimilco
Areas of Interest: Sociology, Culture, Methodology, Public Policy, Sociocomplexity, Computational simulation in social dynamics, Sustainability, Application of computer equipment in research projects and management of relational databases. Objective To facilitate the acquisition of social, cultural and public policy knowledge to interested persons, through activities that systematize quantitative and qualitative information, with the purpose of increasing skills that solve professional problems generated in both productive work and social coexistence. Universidad Autónoma Metropolitana. Unidad Xochimilco (UAM-X). Title with date 5 October 2012. Degree in Sociology, period 2008-2012, with the presentation of the research work: "The Concept of Power in Norbert Elías". Obtaining the Medal of University Merit for the highest marks obtained during the race. November 22, 2012. Currently pursuing a Master of Science in Complexity. Universidad Autónoma de la Ciudad de México. Plantel Del Valle (UACM). Registration 15-104-0034. Completion of studies Key DGP: 653512, 2015-2017 period. Thesis "Dissemination of Political Culture in Mexico City, agent based study". Honorable Mention for obtaining a degree. November 2017. Participant in the Permanent Seminar on Administration and Sustainability "Evaluation of sustainable development" Universidad Nacional Autónoma de México (UNAM). Facultad de Contaduría y Administración (FAC) de 2017 a 2019. CV link: https://mx.linkedin.com/in/%C3%A1ngel-jos%C3%A9-mart%C3%ADnez-salinas-909978115
Luis Alberto Martinez Vaquero
Postdoctoral fellow at Institute of Cognitive Sciences and Technologies (ISTC-CNR)
I am postdoctoral researcher with a strong interest in the multidisciplinary study of complex systems and its application to social, ecological, and biological systems. My background is in Physics. I did my PhD in Astrophysics using numerical cosmological simulations. Then I decided to move to Complex Systems and got a postdoctoral fellowship to work on Evolutionary Game Theory at Universidad Carlos III de Madrid. We studied, among other things, the emergence of intolerance through reputation-based models of indirect reciprocity. After that I worked as a postdoctoral researcher at the Vrije Universiteit Brussel (VUB), where we studied the emergence of different mechanisms and behaviours (apology, forgiveness, ostracism, reinsertion, etc.) in cooperative agreements. We were also analysing data from different types of dictator game experiments. Currently I am an ERCIM postdoctoral fellow at the Institute of Cognitive Sciences and Technologies (ISTC-CNR) in Rome, where we are studying the emergence of cooperation in swarm-like systems, joining approaches from evolutionary game theory and evolutionary robotics. In spite of most of my work has been theoretical (analytical and numerical analysis and simulations), I am also really interested in working with real data and experiments. I enjoy multidisciplinary environments and collaborating with people from different fields. I have organized the first edition of the Winter Workshop on Complex Systems in 2015 and I am part of the permanent steering committee of the series. The objective of this workshop series is to encourage the collaboration between young researchers through different projects and activities. After its first edition it started to grow fast and now it is sponsored by well-known institutions.
I am a scientist working at the Ecole Polytechnique Fédérale de Lausanne (EFPL). My research interests span the areas of network science, multilayer systems, computational modeling and big data analytics. A common thread in my research is in understanding the theory and quantification of the interplay between physical infrastructures, information and human (social) activity. I received both my Bachelor (2006) and my Master (2009) in Environmental Engineering from the University of Florence. I then received my Ph.D. in Complex Systems and Nonlinear Dynamics in 2014 from the Dept. of Information Engineering and Dept. of Physics and Astronomy at the University of Florence. Throughout my research experience, I have pursued challenging research projects across disciplines. For example, I worked for three years in a Complex Systems and Nonlinear Dynamics Lab in Florence (Italy), and six months at the Max Planck Institute for Human Development (Berlin, Germany) within a team of psychologists and cognitive scientists. The main activity during my PhD was to develop cognitive-inspired models to study both the structure and the dynamics in complex networks. My main contribution was to analyze the interaction between information and epidemic spreading in multiplex networks. After defending my PhD thesis, I joined the Dept. of Civil and Environmental Engineering Carnegie Mellon University as a Postdoctoral Associate (March 2014), working jointly with the Risk and Decision Science Team of US Army Corps of Engineer. My main contribution was to merge the concept of resilience, as defined in the field of engineering with standard network failure dynamics, with the goal of quantifying the resilience of multilayer networks under stress. During this project, I supervised a team through the project’s simulation and computational modeling phases. In parallel, I also worked on another resilience and network science project, introducing the same definition of resilience in epidemic modeling. From 2014 to 2016 I have been employed as a Postdoctoral Research Fellow at the SENSEable City Lab at the Massachusetts Institute of Technology. In this role, I was focused on fundamental and applied research that relates to quantifying, modelling and predicting human behavior within urban environments. More broadly, I worked in a highly collaborative fashion with the lab’s multidisciplinary team, external research groups and industrial partners on topics including mobility, social interactions, economic activity and epidemic modelling.
Assistant Professor at IMT School of Advanced Studies
I am a Mathematician from Bari, currently an assistant professort at IMT Institute for Advanced Studies, in Lucca (NETWORKS research unit), where I work on the human functional and structural brain network, with particular attention to its modular organization. I got the PhD in Economics at Sant’Anna School of Advanced Studies in Pisa working on the International Trade Network as a complex system under the supervision of Prof. Giorgio Fagiolo. I was a visiting fellow at Lorenz Institute of Theoretical Physics (Leiden, the Netherlands) in the group of Prof. Garlaschelli and part of the INET project “Empirical and theoretical analysis of macroeconomics networks” for two years at Sant'Anna School. From march 2014 to october 2015 I joined the team of Dr. Alain Barrat at the "Centre de Physique Théorique" in Marseille as a post-doc researcher for the project on disease transmission in collaboration with the Hôpital Nord in Marseille. I studied the epidemic spreading on networks focusing on: different social groups and social ties; methods of data detection; problems of data sampling. My main research interests are: social dynamics, complex networks, statistical physics, null models, brain networks, econophysics, epidemics.
PhD Physics. 1992 National University of Mexico UNAM. Posdoctoral Researcher. Physics Department, Northeastern University 1994-1995. Humboldt Fellow, Alexander von Humboldt Foundation. Full Professor, Department of Complex Systems, Institute of Physics, UNAM. Head of the Department of Complex Systems, Institute of Physics, UNAM (2006-2011). Member of the C3 Commission of Statistical Physics, International Union of Pure and Applied Physics IUPAP. Member of the Complex System Society Council. Research interests: Network Science, Nonlinear Dynamics, Complex Systems, Chaos, Stochastic Dynamics, Biological Physics, Mathematical Ecology.
I'm a full-time researcher at IRSTEA-LISC (Laboratory of Engineering for Complex Systems) in Clermont-Ferrand (France). I defended my PhD in 2005 and subsequently his accreditation to supervise research in 2011 (equivalent of the tenure). In 2015-2016, I was also a visiting scholar at the Arizona State University. My research deals with the modeling of complex systems. More specifically, my main interests rely on the use of mathematical and simulation tools (ABM, differential equations, control theory) in order to better understand socio-ecological systems (forest management, lake eutrophication...).
Principal Investigator at CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences
By training I am a theoretical and computational physicist. During my PhD at the Max-Planck-Institute for Colloids and Interfaces in Potsdam (Germany) I specialized in network science and afterwards did a postdoc with Albert-László Barabási at Northeastern University in Boston (USA). Collaborating closely with Joseph Loscalzo from Harvard Medical School and Marc Vidal from Dana Farber Cancer Institute, we tried to lay out the basic theoretical framework for how the interactome can be understood as a map to study human disease. I am now a principal investigator at CeMM in Vienna (Austria), starting to build my own research group in the area of systems- and network-medicine.
José Fernando Mendes
He hold a degree in Physics from the University of Porto, 1987 and a Ph.D in Physics from the University of Porto, 1995. Since April 2002 he is Professor at University of Aveiro. He is a theoretical physicist working on Statistical Physics. His research, in the last years, focus mainly in the study of complex systems and the structure and the evolution of complex networks. Other interests are related with: granular media, self-organized criticality, non-equilibrium phase transitions, deposition models,etc. http://sweet.ua.pt/jfmendes/ https://scholar.google.pt/citations?user=g0PnXHIAAAAJ&hl=pt-PT
Associate Professor at Cracow University of Economics
Rodrigo Migueles Ramirez
Senior Lecturer at La Trobe University
I am a Senior Lecturer at La Trobe University. My research focuses primarily on the spread of infectious diseases through contact networks, though more recently I have been focusing on many other disease-related topics even if there isn't an underlying network that we're focused on. I coauthored a monograph on mathematical models of disease spread in networks (Mathematics of Epidemics on Networks), and I have written an open-source software package (https://epidemicsonnetworks.readthedocs.io/en/latest/) for modeling disease spread in contact networks. I spent a decade co-teaching network-based epidemiology at the Summer Institute in Statistics and Modeling in Infectious Diseases at U Washington. Although I am an applied mathematician, much of my time has been spent working in policy-driven settings. I did my PhD in fluid dynamics at Cambridge. Then I had postdoc at Los Alamos National Laboratory, a postdoc at the University of British Columbia Centre for Disease Control, and another postdoc split between the Harvard School of Public Health and the National Institutes for Health. I then took a faculty position at Penn State University, but following the birth of my daughter decided that living in the same place as my wife (who was in Boston) was a good idea. So we found positions at Monash University in Melbourne. We soon changed our minds on living in the same place (not really), and I began working at the Institute for Disease Modeling in Seattle, while my wife remained in Melbourne. I have now returned to Melbourne and am at La Trobe University.
PhD Student at Network Science Institute, Northeastern University
Name: Giovanni Modanese. Education: Theoretical physicist, PhD in Pisa, 1992. Expertise in the fields of gravitation, quantum fields, superconductivity. Worked at several universities and research institutes in Italy, Germany, USA. Currently researcher at the Free University of Bolzano, Italy, in the field of applied mathematics for complex systems: Author of 50+ scientific papers, most of them indexed by ISI/Scopus and accessible at arXiv: http://arxiv.org/find/all/1/all:+modanese/0/1/0/all/0/1 Citations: http://scholar.google.it/citations?hl=it&user=4hT0F3wAAAAJ Research Gate: https://www.researchgate.net/profile/G_Modanese ResearcherID: http://www.researcherid.com/rid/A-9771-2009 Orcid: http://orcid.org/0000-0003-4302-2966 SOME RECENT PUBLICATIONS The Bass diffusion model on networks with correlations and inhomogeneous advertising. ML Bertotti, J Brunner, G Modanese,Chaos, Solitons & Fractals 2016-03 Common origin of power-law tails in income distributions and relativistic gases. G. Modanese, Physics Letters A 2016-01-01 Microscopic Models for Welfare Measures Addressing a Reduction of Economic Inequality. ML Bertotti, G Modanese, Complexity, 2015 Micro to macro models for income distribution in the absence and in the presence of tax evasion. ML Bertotti, G Modanese, Appl. Math. Comput., 2014
Associate Professor at Universidad Nacional de Colombia
He received the B.S. degree in electronics engineering from the Universidad Industrial de Santander in 2002, the M.Sc. degree in electronics and computer science engineering from the Universidad de Los Andes, and the Ph.D. degree in Automatique et Informatique Industrielle from the École des Mines de Nantes, Nantes, France and also Universidad de Los Andes in 2010. From 2011 to 2012, he was a Post-Doctoral Researcher at Universidad de Los Andes. Since 2013 he has been Associate Professor at Universidad Nacional de Colombia, Colombia.
at LILLE UNIVERSITY
I am a student-researcher in cognitive and mathematical bioscience dedicated to the modeling of complex adaptive systems. Centered on affective and behavioral sciences, data science and epistemology, I aspire to develop new cognitive models and mathematical formalisms for understanding human behavior. Focused on various levels of observation, I seek to theorize the integration of information within complex organic and artificial adaptive systems.
Associate Professor at Aarhus University
Dr. Mønster's main research interests are group dynamics, emotion and decision making in the context of risk-taking and other types of social behavior, including the effects of trust. Originally trained as a physicist, Dr Mønster applies non-linear analysis and social network analysis to time series of behavioral data from laboratory and on-line studies. A common theme in his research is the study of interpersonal dynamics of individuals, whether in cooperation or conflict. Dr. Mønster is Associate Professor at Department of Economics and Business Economics; Faculty at Interacting Minds Centre, Department of Culture and Society; and head of Cognition and Behavior Lab, all at Aarhus University, Denmark.
Visiting Scholar at MIT Media lab
I am an Assistant Professor at the New England Complex Systems Institute and Visiting Scholar at the MIT Media Lab. My research is about understanding complex social systems by analyzing big data with mathematical, computational and visualization techniques. I work at the intersection of computer science, statistics, applied physics and artificial intelligence. I analyze large datasets that result from human activity on social media, internet, mobile phones or purchases, in order to retrieve unstructured patterns of collective behaviors that are linked to large scale societal phenomena. I work closely with academia and industry, including institutions like MIT, Harvard and the UN. My areas of interest include: data science, statistics, artificial intelligence, complex systems, socio-economic systems, social dynamics, market dynamics, urban systems, urban segregation, political engagement, political polarization and social influence.
Yamir Moreno, President
Professor at University of Zaragoza
Prof. Yamir Moreno got his PhD in Physics (Summa Cum Laude, 2000) from University of Zaragoza. Shortly afterward, he joined the Condensed Matter Section of the International Centre for Theoretical Physics (ICTP) in Trieste, Italy as a research fellow. He is the head of the Complex Systems and Networks Lab (COSNET) since 2003 and is also affiliated to the Department of Theoretical Physics of the Faculty of Sciences, University of Zaragoza. He is the Deputy Director of the Institute for Biocomputation and Physics of Complex Systems (BIFI) and member of its Government Board and Steering Committee. During the last years, he has been working on several problems such as: the study of nonlinear dynamical systems coupled to complex structures, transport processes and diffusion with applications in communication and technological networks, dynamics of virus and rumors propagation, game theory, systems biology (the TB case), the study of more complex and realistic scenarios for the modeling of infectious diseases, synchronization phenomena, the emergence of collective behaviors in biological and social environments, the development of new optimization data algorithms and the structure and dynamics of socio-technical and biological systems. He has published more than 170 scientific papers in international refereed journals and he serves as a reviewer for around 30 scientific journals and research agencies. His research works have collected more than 13200 (23500) citations, h=47 (58) according to ISI WoK (Google Scholar), including the most cited Physics Reports of the last decade (“Complex Networks and their Applications”, Phys. Rep. 424, 175-304 (2006)). At present, he is a Divisional Associate Editor of Physical Review Letters, a member of the Editorial Boards of Scientific Reports, and Applied Network Science, Editor of the Journal of Complex Networks, and Academic Editor of PLoS ONE. Prof. Moreno is the elected President of the Complex Systems Society (CSS) since 2015 and also belongs to its Executive Committee and Council. He is also the Vice-President of the Network Science Society and a member of the Future and Emerging Technology Advisory Group of the European Union’s Research Program: H2020. Besides, he belongs to the Advisory Board of the WHO Collaborative Center “Complexity Sciences for Health Systems” (CS4HS), whose headquarter is at the University of British Columbia Centre for Disease Control, in Vancouver, Canada. He is a Research Leader at the Institute for Scientific Interchange Foundation (ISI), Turin, Italy since 2013, and External Faculty of the Complexity Science Hub Vienna, Austria since 2017.
at University of Turin
Associate Professor at Universidad Carlos III de Madrid
Esteban Moro is a researcher, data scientist and professor at Universidad Carlos III (UC3M) in Spain and MIT Medialab. He was previously researcher at University of Oxford. A native from Salamanca (Spain) he holds a PhD in Physics and is an affiliate faculty at Joint Institute UC3M-Santander on Big Data at UC3M and the Joint Institute of Mathematical Sciences (Spain). He has published extensively throughout his career (more than 60 articles) and have led many projects funded by government agencies and/or private companies. Esteban has served as jury in many Data Science and Big Data challenges, is editor of several journals and has advised many PhD students. Esteban's work lies in the intersection of big data and computational social science, with special attention to human dynamics, collective intelligence, social networks and urban mobility in problems like viral marketing, natural disaster management, or economical segregation in cities. Apart from his academic career he has worked closely with companies like Twitter, Telefónica or BBVA in the use of massive datasets to understand problems like how humans communicate, how to political opinion spreads in social networks or building alternative wellbeing indexes. He has received numerous awards for his research, including the “Shared University Award” from IBM in 2007 for his research in modeling viral marketing in social networks and the “Excellence in Research” Awards in 2013 and 2015 from UC3M. Esteban work appeared in major journals including PNAS or Science Advances and is regularly covered by media outlets The Atlantic, The Washington Post, The Wall Street Journal, El País (Spain).
Senior Lecturer in Complex Systems at University of Surrey
at stanford healthcare
Healthcare architect, working for Stanford Healthcare at Stanford University. Complexity Science PhD student at ISCTE
Chair Professor at Northwestern University
Adilson E. Motter is the Charles E. and Emma H. Morrison Professor of Physics and Astronomy at Northwestern University, in Evanston, Illinois, USA.
Chrystopher Nehaniv is a Mathematician, Computer Scientist, Complex Adaptive Systems Researcher, and, since August 2018, Full Professor in the Departments of Systems Design Engineering and of Electrical & Computer Engineering at the University of Waterloo in Ontario, Canada. He is also affiliated with the University of Hertfordshire in the United Kingdom, where he served as Director of the Centre for Computer Science & Informatics Research prior to coming to Canada, leading research in the Algorithms, Adaptive Systems, and Wolfson Royal Society Biocomputation Research Groups there as Professor of Mathematical and Evolutionary Computer Sciences. Previously, he held positions as full professor at the University of Aizu in Japan, and visiting professor in Mathematics at Ibaraki National University, Japan, and at the Institute for Mathematics & Informatics at the University of Debrecen in Hungary, as well as post-doctoral research fellow and lecturer in Mathematics at the University of California, Berkeley. He is founder of the Waterloo Algebraic Intelligence & Computation Laboratory (WAICL), and with Prof. Kerstin Dautenhahn, a co-founder of the University of Waterloo's Social and Intelligent Robotics Research Laboratory (SIRRL). Professor Nehaniv is also a member of the Waterloo AI Institute and the steering committee of the Waterloo Institute for Complexity and Innovation (WICI). He serves as Associate Editor for the journals BioSystems, IEEE Transactions on Cognitive and Developmental Systems, and Interaction Studies, and as Topic Editor-in-Chief of the International Journal of Advanced Robotic Systems for the topics of AI Robotics and Human-Machine/Robot Interaction, and has served on the IEEE Task Force for Artificial Life and Complex Adaptive Systems since its founding in 2003, as Chair (2012-2018), Vice Chair (2018-), and on the IEEE Cognitive and Developmental Systems Technical Committee (2019-) of the IEEE Computational Intelligence Society. He teaches a variety of complex systems related courses including Topics in Mathematics: Algebraic Structure of Discrete Dynamical Systems, Artificial Life: Biology & Computation, and Embodied Intelligence. SYDE/ECE 750: Artificial Life: Embodied Intelligence (Fall 2019)
Research Professor at Boston University
Dr. Kenric Nelson is a Senior Principal Engineer with Raytheon Integrated Defense Systems and Research Professor with Boston University Electrical & Computer Engineering. At Raytheon he leads projects on sensor management, tracking, discrimination, and debris mitigation. At Boston University he is developing a novel approach to information theory for complex systems. He has multiple inventions applying non-additive information theory to improve the robustness of radar processing and enable efficient probabilistic computation. His academic training is in electrical engineering including a B.S. degree Summa Cum Laude from Tulane University, a M.S. degree from Rensselaer Polytechnic Institute, and a Ph.D. degree from Boston University. His training in Program Management includes an Executive Certificate from MIT Sloan and certification with the Program Management Institute. His research interests include machine learning, complex adaptive signals and systems, and sensor systems.
PhD Candidate at University of Twente
Research Fellow (Transport, Health and Urban Design (THUD) research group, Faculty of Architecture, Building and Planning, University of Melbourne) Research Fellow (Monash University/CRC for Water Sensitive Cities) Research in urban design, transport, health, micro-climates, and urban green space typology using neural network machine learning, agent based modelling, and climate modelling. Research in urban climates and human thermal comfort (HTC) with a focus on urban micro climate modelling and WSUD (water sensitive urban design). Software engineering using Java J2EE for application development and architecture.
José R. Nicolás-Carlock
Postdoctoral Researcher at Universidad Nacional Autónoma de México (UNAM)
I’m a physicist working in fundamental and applied problems in complex systems. My research includes the study of fractal growth in nature, via computational and mathematical modelling. Currently, I’m working on the application of network theory to the study of documented cases of corruption in Mexico at the Observatory of Corruption and Impunity (OCI-UNAM). My research interests include the physics of living systems, collective phenomena, and networks, from the natural to the social sciences.
I play with complex systems and complex networks. I received a formal education in Computer Science (I got an MSc and a PhD in Computer Science from the University of Catania, Italy), and a more informal hands-on training in variuos aspects of complexity science, consisting of a mixture of methods and tools from applied mathematics, statistical physics, numerical methods, social science. I am a Lecturer in the School of Mathematical Sciences at Queen Mary, University of London. My research interests include the structural characterisation of complex networks (in particular of time-varying, multi-layer and interdependent networks), the study of dynamical processes on networks (mainly synchronisation, diffusion and random walks) and the application of network science to the understanding of social and biological systems, with a focus on cities and neural system
Catalina Obando Forero
PhD student at Institute Du Cerveau Et De La Moelle Épinière (ICM)
Post-Doc, PI at Institute of Physics, Jagiellonian University
I graduated in theoretical physics (as a part of Interdisciplinary Studies in Mathematics and Natural Sciences programme) and took my doctorate at the Jagiellonian University. At the moment I am a postdoc at the Department of Theory of Complex Systems, I am supervised by prof. Maciej A. Nowak and I collaborate with prof. Z. Burda in a Maestro grant Interdisciplinary applications of random matrix theory. I conduct grants financed by the National Science Centre of Poland: Sonata 9, titled Application of the complex systems theory in multidimensional fluctuation analysis of human brain EEG signals (grant no. 2015/17/D/ST2/03492) and Preludium 5, titled Statistical foundations in detection of modular structures in complex networks (grant no. 2013/09/N/ST6/01419). My Phd studies (2009-2013) were funded from the scholarship of the Foundation for Polish Science (Fundacja Nauki Polskiej www.fnp.org.pl), the project Dynamical systems on complex networks within the Jagellonian University International PhD Studies in Physics of Complex Systems (http://www.mpd.if.uj.edu.pl). I have been awarded the scholarship for PhD students for outstanding achievements by the Polish Ministry of Science and Higher Education in 2013. My research interests are in general: synchronisation, epidemic modelling, percolation theory, complex networks (community detection), natural language processing (computational stylistics) and translation.
Scientific Advisor at MTA-EK-MFA
Researcher at Max Planck Institute for Mathematics in the Sciences
He studied physics at the TU Dresden (Germany) and obtained a PhD in theoretical physics in 1995. From 1995 to 2000, he was a postdoctoral researcher at MPI for the Physics of Complex Systems. From 2000 to 2004 he worked as a research fellow at the University of Zürich on mainly on the time series analysis of EEG data. Since 2004 he is senior researcher at the MPI MIS. He is working on several aspects of complex systems theory, such as information decomposition, complex networks, game theory and formal models of communication with a focus on data analysis. He is currently the coordinator of the European project "Opinion dynamics and cutltural conflict in European spaces" (www.odycceus.eu)
Assistant Professor at University Campus Bio Medico
Gabriele Oliva received the Laurea degree and the Ph.D in Computer Science and Automation Engineering in 2008 and 2012, respectively, both at University Roma Tre of Rome, Italy. He is currently assistant professor in Automatic Control at the University Campus Bio-Medico of Rome, Italy. His main research interests include distributed systems, distributed optimization, and applications of graph theory in technological and biological systems.
at World Food Programme
I currently work at the World Food Programme, where I explore applications of Complexity and Data Science for development and humanitarian response. Previously, I was at UNICEF's Office of Innovation. Physicist by training, I obtained my PhD in Applied Mathematics for the Social Sciences from the École Normale Supérieure of Paris in 2014. Before joining the United Nations, I was a Postdoctoral Researcher at the Rovira i Virgili University in Tarragona, Spain. My research focuses on complex networks, with a special interest in socio-technological systems, from human mobility to online and offline social interactions.
at University of Amsterdam
Osman Ortega Parada
at Universidad de Pamplona
Head of Engineering Management Division at Instituto Tecnológico Superior de Álamo Veracruz
Degree in computer sciences, by Technological Institute of Apizaco, Master of Science in Administration, Master in Virtual Education by the Universidad Veracruzana, professor of the Higher Technological Institute of Álamo Temapache since 2000, currently Head of the Career Division of Engineering Management, PhD student in Management Sciences, Higher School of Commerce and Administration of the Instituto Politecnico Nacional, whose research topic is: Evolution of the competitiveness of corn producers in Chicontepec Veracruz, using agent-based modeling, participation in Acacia: Analysis of the context the production of corn from the factors: social, economic, cultural and environmental in Chicontepec de Tejeda, Veracruz (2016); Situational analysis of the production of corn from the factors: sociocultural, economic, political and environmental in Chicontepec de Tejeda, Veracruz (2017); Competitiveness evaluation of corn producers in Chicontepec Veracruz, using agent-based modeling (poster 2017).
Miguel Angel Ospina Usaquen
Leonardo Pacciani Mori
PhD student at University of Padova
Staff Research Scientist at ENEA - Italian Agency for New Technologies, Energy and Sustainable Economic Development
Dec 2012 - present, Staff Research Scientist, ENEA · Frascati Research Centre, Frascati (Italy) --- Mar 2011 - Feb 2012, Lecturer (Professore a contratto), Sapienza University of Rome · Faculty of Engineering; Department of Statistical Sciences, Rome (Italy) --- Sep 2010 - Dec 2012, Researcher, Italian National Institute of Statistics, Rome (Italy) --- Mar 2009 - Aug 2010, Marie Curie Postdoctoral Fellow (IEF-FP7), CERN · Theoretical Physics Unit (TH), Geneve (Switzerland) --- Sep 2007 - Feb 2009, Postdoctoral Fellow, CERN · Theoretical Physics Unit (TH), Geneve (Switzerland) --- May 2007 - Aug 2007, Postdoctoral Fellow, Deutsches Elektronen-Synchrotron, Zeuthen, Germany · Theory Unit, Zeuthen (Germany) --- Jun 2006 - Apr 2007, Alexander von Humboldt Postdoctoral Fellow, Johannes Gutenberg-Universität Mainz · Institute of Nuclear Physics, Mainz (Germany) --- Mar 2005 - May 2006, Alexander von Humboldt Postdoctoral Fellow, Deutsches Elektronen-Synchrotron · DESY - T Theory Group, Hmburg (Germany) --- Jan 2000 - Feb 2005, Computer Scientist, "E. Fermi" Research Center, Rome (Italy) --- Sep 1999 - Dec 1999, Research Grantholder, INFN - Istituto Nazionale di Fisica Nucleare - Rome II, Rome (Italy) --- EDUCATION: Oct 1999 - Mar 2003, University of Rome Tor Vergata, Physics Ph.D., Rome (Italy) --- Oct 1992 - Oct 1998, University of Rome Tor Vergata, Physics Laurea, Rome (Italy)
senior researcher at Institute of Computer Science, Czech Academy of Sciences
at Lynch School of Education, Boston College
My name is Evelyn (Evangelia) Panagakou and I am pursuing a second PhD degree, this time in Applied Developmental and Educational Psychology, at the Lynch School of Education, Boston College, USA. Until July 2018, I was a postdoctoral research associate at Northeastern University (Boston), at the Network Science Institute, at the MOBS Lab lead by Prof. Alex Vespignani. Earlier I had been a postdoctoral researcher at Brandeis University, at the Nonlinear Dynamics Lab lead by Prof. Irving Epstein. My work there was related to pattern formation in reaction-diffusion systems and on coupled chemical oscillators. I had also been a visiting research fellow at the Open University (UK) as a member of the Etoile team lead by Prof. Jeff Johnson. I hold a PhD in Physics from the University of Athens (Greece) and I had been a member of the laboratory of Statistical Physics and Complex Dynamical Systems (National Center for Scientific Research "Demokritos", Athens, Greece) where I worked on synchronization phenomena in lattices of coupled oscillators under the supervision of Dr. Astero Provata, Prof. F. Diakonos and Prof. D. J. Franzeskakis. I also hold a M.S. in Applied Mathematics (University of Massachusetts in Amherst, MA, USA) and a B.S in Physics (University of Athens, Greece).
PhD Student at Universidad Rovira i Virgili
Research Leader at ISI Foundation
Postdoc at CNR
Undergraduate student of Philosophy at UNESP - São Paulo State University - Faculty of Philosophy and Science
Juan Carlos Pascual
Proffesor at Centro Universitario Incarnate Word (CIW), México
Physist and Chemical Engineeer as ungraduate, with posgradute studies in MBA and Complexity In México, Spain and UK. With more than 25 years in the Business arena as ejecutive positions now back into the Academic and Research comunity. Focus in Economic and Social application of Complex Science in bussines and goverment. Begining to form a Complexity Studies lab in the Incarnate Word University in México and promote the studies in this fields in the spanish speaking comunity. ------------------------------------------------For this year elections in the CCS Council, i would like to participate since i have been partipating in the last 3 year Conference and wouls like to help in the 2017 Mexico Conference. I would like to represent the view of the business and goverment and active pomote in Latin America the Complex Systems Society, and make a ware of the impact for the business, social, economic, and environmental problems we are facing in the Latin region and how Complexity Science could be the path to follow in this century
Assistant research scientist at Indiana University
I am an assistant research scientist at the Indiana University Network Science Institute (IUNI) in Bloomington. I completed my PhD in Applied Mathematics at Politecnico di Torino in 2017 while working at the ISI Foundation. Her research interests include topological data analysis, computational topology and random models applied mainly to brain data and biomedicine. My current researches focus on developing new topological approaches to complex networks and their underlying geometry, combining analysis of experimental data and theoretical modelling.
PhD Candidate at University of Southampton
Professor and Department Head, Department of Environmental Policy Analysis at Institute for Environmental Studies, VU Amsterdam
Philipp Pattberg is professor of transnational environmental governance and policy at VU University Amsterdam, The Netherlands. He specializes in the study of global environmental politics, with a focus on climate change governance, biodiversity, forest and marine governance, transnational relations, public-private partnerships, network theory and institutional analysis. Pattberg’s current research scrutinizes institutional complexity, functional overlaps and fragmentation across environmental domains (http://fragmentation.eu/).
PhD Student at Aix-Marseille Université
I was born in Barga (Lucca, Italy) on 1 January 1992, and I grew up in Pisa where I accomplished most of my studies. I lived in Boston, MA, for a year in 2009-2010 and I spent six months in Paris as an ERASMUS student in 2016. I have a solid scientific and humanistic background due to the scientific lyceum I attended for five years (regular high-school duration in Italy). I spent my fourth high-school year in Boston, Massachusetts, at Brookline High School: this experience allowed me to achieve a solid competence in spoken and written English language. In 2011 I applied to study physics at King’s College, in London, where I was admitted to the Bachelor Physics programme. Eventually I opted for the University of Pisa, where, during my three years of Bachelor degree, I developed strong mathematical modeling and problem solving skills. I was introduced to the main different research fields and topics that physicists have challenged themselves with in the past century. I then decided to focus my graduate studies on the broad field of Statistical Physics and its applications to disordered and complex systems. Complexity therefore became more and more the core of my scientific interests, so I decided to move to Paris for a semester, in order to attend some dedicated courses at UPMC (Paris VI). The interdisciplinary nature of this area of statistical physics is what really fascinates me: applying the same tools and reasoning framework to so many different areas of natural and social sciences, from disordered physical systems to information theory, from molecular dynamics to economics, is a thrilling and challenging possibility. For these reasons I am decided to continue my academic education with a PhD that will allow me to deepen and strengthen my understanding of the theory of complex systems.
Associate Professor at Central European University
Tiago P. Peixoto is an Associate Professor at the Department of Network and Data Science at the Central European University in Budapest, and researcher at the ISI Foundation, Turin. He obtained his PhD at the University of São Paulo, and his Habilitation in Theoretical Physics at the University of Bremen. He was a Humboldt Foundation fellow, and the recipient of the Erdős-Rényi Prize (2019) awarded by the Network Science Society. His research focuses on characterizing, identifying and explaining large-scale patterns found in the structure and function of complex network systems — representing diverse phenomena with physical, biological, technological, or social origins — using principled approaches from statistical physics, nonlinear dynamics and Bayesian inference.
Postdoc Researcher at Universidad Carlos III de Madrid
María Pereda is a postdoctoral researcher at University Carlos III de Madrid (Spain) in the mathematics department and in the multidisciplinary group for complex systems, GISC. She works in the IBSEN project (from Individual Behavior to the Socio-tEchnical maN), which aims to build a repertoire of human behavior in large (+1000 people) structured groups using controlled experiments. She got a Bachelor’s degree in Industrial Engineering, specialised in Electronics in 2006, and Degree in Industrial Organisation Engineering (with distinction) in 2008, both at the University of Burgos. She got Master’s Degree in Research in Process Systems Engineering in 2010 and PhD in Process Systems Engineering at University of Valladolid in March 2014 (with distinction). Her PhD research work pursued to apply different artificial intelligence techniques to an automatic control problem: the control of a wastewater treatment plant. Afterwards, she did her first postdoctoral research period (2 years) at University of Burgos, studying the emergence and resilience of cooperation in ancient societies using complex systems methodologies. Her major research interest is the study of complex systems and the discovery of patterns and unpredictable behaviours. The main methods of her research so far have been Modelling, Machine Learning, Game theory and Network theory. Find out more in her personal website https://sites.google.com/site/mperedag/
Associate Professor at Universitat de Barcelona
PhD in Physics (2000). Associate Professor at the Department of Fundamental Physics at the UB. Member of the steering committe of Complexitat.cat. Currently, secretary of the dean of the Faculty of Physics. I have been studying the financial markets from complex systems perspective. Both theoretically and empirically, I work in the statistical analysis of market data and its modeling through stochastic differential equations or random walks. Recently, I also have focused on analyzing human behavior of non-expert investors, modeling cooperation in humans and human mobility. In 2013 I conceive OpenSystems-UB, a research group that run scientific research based on citizen participation and artistic practices. I work with Barcelona Lab, a project promoted by the Institute of Culture of Barcelona City Council, cementing citizen science in the city and creating the Citizen Science Office. I am participating in citizen science experiments on human mobility (Bee-Path, Festival de Ciència, Tecnologia i Innovació 2012 and 2013), human behaviour and decision taking (Board Games Festival DAU Barcelona 2012 and 2013) and the development of a community of urban beekeeping (Urban Bees 2012 and 2013). I have been responsible for Science Area at Arts Santa Mònica in Barcelona on behalf of the UB (2009-2012) . The results include seven exhibition projects in the Laboratory space. In 2012, the Laboratory of Arts Santa Monica was awarded the Antoni Caparros being the best knowledge transfer project of UB. I have curated the art-science and citizen science sections of the Festival de Ciència, Tecnologia i Innovació 2014. I also coordinate Sistemes Oberts, a teacher training program in Arts and Science in collaboration with MACBA (2012-2014).
Associate Professor in Network Science at Greenwich University
Nicola Perra serves as Associate Professor in Network Science in Business School of Greenwich University in London, UK. He received his PhD in Physics from the University of Cagliari, Italy in 2011. In 2009 he joined the Center for Complex Networks and Systems Research at Indiana University as a Research Associate. From September 2011 until August 2014 he was a Post-Doctoral Research Scientist at the Laboratory for the Modeling of Biological and Technical Systems at Northeastern University. From September 2014 until July 2015 he served as Associate Research Scientist at Northeastern University in Boston, USA. His research focuses on human dynamics, dynamical processes on complex networks, big-data analytics, and mathematical/digital epidemiology. His research has been published in 40+ peer-reviewed journals, conferences, and books chapters receiving 1630+ citations (Google Scholar). He is the editor of the forthcoming book Social Phenomena: From Data To Models (Springer, 2015), and the organizer of several workshops on human dynamics, social modeling and temporal networks hosted in major international conferences in Physics, Network Science, and Computer Science.
Research Leader at ISI Foundation
For the past years, I have been a researcher in the “Mathematics & Foundation of Complex Systems” of ISI Foundation in Turin where, I dabble some would say with remarkable luck and a pinch of skill in network science and algebraic topology approaches to complex systems, especially the brain. In particular, I am now a Research Leader for both the "Topological Neuroscience" and "Foundations of Complex Systems" groups at ISI Foundation. Previously, I received my PhD from Imperial College London working on the interplay between information and dynamics on complex networks and —pretty much in a previous life— I got my MSc in Theoretical Physics (with capitals, because my MSc thesis was about the time when the Universe went kaboom).
Principal investigator at CNRS
Current Position: CNRS research director, director Laboratory BioEmergences, USR3695 Selected Publications: A cell-based computational model of early embryogenesis coupling mechanical behaviour and gene regulation. Delile J, Herrmann M, Peyriéras N, Doursat R. Nat Commun. 2017 Jan 23;8:13929. doi: 10.1038/ncomms13929. An integrated modelling framework from cells to organism based on a cohort of digital embryos. Villoutreix P, Delile J, Rizzi B, Duloquin L, Savy T, Bourgine P, Doursat R, Peyriéras N. Sci Rep. 2016 Dec 2;6:37438. doi: 10.1038/srep37438. A workflow to process 3D+time microscopy images of developing organisms and reconstruct their cell lineage. Faure E, Savy T, Rizzi B, Melani C, Stašová O, Fabrèges D, Špir R, Hammons M, Čúnderlík R, Recher G, Lombardot B, Duloquin L, Colin I, Kollár J, Desnoulez S, Affaticati P, Maury B, Boyreau A, Nief JY, Calvat P, Vernier P, Frain M, Lutfalla G, Kergosien Y, Suret P, Remešíková M, Doursat R, Sarti A, Mikula K, Peyriéras N, Bourgine P. Nat Commun. 2016 Feb 25;7:8674. doi: 10.1038/ncomms9674 A digital framework to build, visualize and analyze a gene expression atlas with cellular resolution in zebrafish early embryogenesis. Castro-González C, Luengo-Oroz MA, Duloquin L, Savy T, Rizzi B, Desnoulez S, Doursat R, Kergosien YL, Ledesma-Carbayo MJ, Bourgine P, Peyriéras N, Santos A. PLoS Comput Biol. 2014 Jun 19;10(6):e1003670. doi: 10.1371/journal.pcbi.1003670. eCollection 2014 Jun. Towards 3D in silico modeling of the sea urchin embryonic development. Rizzi B, Peyrieras N. J Chem Biol. 2013 Sep 13;7(1):17-28. doi: 10.1007/s12154-013-0101-x. Review. Automated processing of zebrafish imaging data: a survey. Mikut R, Dickmeis T, Driever W, Geurts P, Hamprecht FA, Kausler BX, Ledesma-Carbayo MJ, Marée R, Mikula K, Pantazis P, Ronneberger O, Santos A, Stotzka R, Strähle U, Peyriéras N. Zebrafish. 2013 Sep;10(3):401-21. doi: 10.1089/zeb.2013.0886. Epub 2013 Jun 12. Review. Wavelet-based image fusion in multi-view three-dimensional microscopy. Rubio-Guivernau JL, Gurchenkov V, Luengo-Oroz MA, Duloquin L, Bourgine P, Santos A, Peyrieras N, Ledesma-Carbayo MJ. Bioinformatics. 2012 Jan 15;28(2):238-45. doi: 10.1093/bioinformatics/btr609. Epub 2011 Nov 9. Cell lineage reconstruction of early zebrafish embryos using label-free nonlinear microscopy. Olivier N, Luengo-Oroz MA, Duloquin L, Faure E, Savy T, Veilleux I, Solinas X, Débarre D, Bourgine P, Santos A, Peyriéras N, Beaurepaire E. Science. 2010 Aug 20;329(5994):967-71. doi: 10.1126/science.1189428. Cursus: 2002 Habilitation Paris XI University (Paris) 1990-1991 Graduate in Epistemology and History of Sciences: Paris VII University (Paris) 1984-1986 PhD in BioChemistry (PhD director: François Jacob, Institut Pasteur): Paris VI University (Paris) 1983-1984 Graduate in BioChemistry, Major: “Structure and Fonction des Protéines” Paris VI University (Paris) 1982-1983 Master in BioChemistry: Paris VII University (Paris) 1979-1982 Bachelor in BioChemistry: Ecole Normale Supérieure de Cachan (Paris) 1977-1979 “Classes préparatoires” Lycée Saint Louis (Paris, France)
Professor of Complex Systems and Networks at Politecnico di Milano
Carlos Piña García
Researcher at Universidad Veracruzana
I am a Post-Doctoral Fellow at the Computer Sciences Department of the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) of the Universidad Nacional Autónoma de México (UNAM). My research involves gathering social media information and the quantitative analysis of data in social networks. This research is carried out together with Carlos Gershenson and Jesús Siqueiros. We are especially interested in regional and global activity in terms of tweets and the development of new methods for collecting and analyzing data. I hold a Ph.D. in Computer Science from University of Essex at the School of Computer Science and Electronic Engineering. My Thesis: "Sampling Online Social Networks through Random Walks" was supervised by Professor Dongbing Gu. During my Ph.D. studies, I was an exchange student at the Beijing Institute of Technology ( 北京理工大学).
at University College London
Associate Professor at Dipartimento di Fisica e Astronomia "Ettore Majorana"
Alessandro Pluchino is Associate Professor of Theoretical Physics at University of Catania (Italy). He has also the qualification of Full Professor in Theoretical Physics of Fundamental Interactions and he is Charge of Research at the INFN Section of Catania. Author of more than 100 publications and several books, his research interests concern complex systems, statistical mechanics and chaos, complex networks, agent based simulations of biological and socio-economics systems, bio-inspired optimization algorithms, ether-drift experiments and objective randomness.
Post-Doc at Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche en Santé 1136
I am researcher at the National Institute of Health and Medical Research (INSERM) in Paris, France. My interest is in the spreading of infectious diseases seen as a complex system phenomenon. I received a PhD in physics at the University of Padova (Italy) in 2009 with a thesis on physics of biopolymers. I was then a Post Doc at the Computational Epidemiology Laboratory, ISI Foundation, Torino (Italy), before joining the INSERM in 2012. My current research work applies network theory and computational programming to epidemiological problems. My theoretical works focus on the role of contact and spatial networks on epidemic threshold and multi-pathogen interaction. I also do applied research studying outbreaks caused by emerging pathogens - such as Ebola and Zika -, with the goal of providing basic biological understandings and epidemic forecast.
Associate Professor at Mathematics Department "G. Peano" - University of Torino
Born in Mexico, studied in Mexico, work in Mexico, some years out of Mexico, family in and from Mexico, fun mostly in Mexico.....nothing complex in here. Cancer is the stuff that keeps me interested, really complex and really ugly by the way. Would like to code, or more precisely would like to have the time to learn how to code, but you can not have everything... or can you? looks like fun.
Ph.D. student at Università degli Studi di Catania
Marialaura Previti is a student of Ph.D. in Systems, Energy, Computer and Telecommunication Engineering in Department of Electrical, Electronics and Computer Engineering (DIEEI) at Università degli Studi di Catania. After honours master's degree in computer engineering obtained in January 2015, she worked in DIEEI as consultant for a regional funded research project called "S.M.I.T. - Sistemi di Monitoraggio Integrato per il Turismo", whose purpose was to analyze the Italian tourist network in order to identify its strengths and weaknesses. In academic year 2016/2017 second semester, she worked as teaching assistant for the "Fondamenti di informatica" course in DIEEI at Università degli Studi di Catania. In November 2016, she started Ph.D. course deepening knowledge about epidemic models to exploit the epidemic spreading processes in online social networks context. In the last year, she proposed some models representing user behaviours into social network and currently use a raw twitter dataset to build a real acquaintance network in order to validate the models.
PhD Student in Complexity Economics at Aristotle University of Thessaloniki
2012-2016: BSc in Economics, Aristotle University of Thessaloniki; specialization: General Economic Theory and Policy. Best student of the class, among 125 graduates. 2016-2018: MSc in Statistics, ETH Zurich; specialization: Data Science. My postgraduate studies were funded by a full scholarship (tuition & living costs) from John S. Latsis Public Benefit Foundation. Moreover, my Master's Thesis was awarded the best possible grade (6.0). Since October 2018, I am a member of the Complexity Economics Working Group of the Institute for New Economic Thinking community "Young Scholars Initiative" and a member of the SingularityU Athens Chapter of the Singularity University Global Community. Now I am a PhD student in Complexity Economics at Aristotle University of Thessaloniki and, in parallel, I work at the Ministry of Development and Investments of Hellenic Republic. My interests are mainly focused on Econophysics, Sociophysics, Sociocybernetics and Computational Social Science. My work so far seeks for policy-oriented applications. What I want to do now is to investigate the potential of broadly adopting a complex systems approach on economic policymaking. My vision as a scientist is to contribute to the transformation of "how we do Economics". A paradigm shift is already on the way and I am looking forward to be part of it. More info about me: gr.linkedin.com/in/antreps
Professor at Université PARIS 1
Assistant Professor at University of Amsterdam
I am currently an Assistant Professor in the Computational Science in the Faculty of Science of the University of Amsterdam. Supervised by Prof. Dr. Peter M.A. Sloot I am formulating a theory of information processing in complex systems, more specifically, systems with complex networks of interactions. My goal is to use information theory as a universal language to describe the behavior of such systems. In particular, I believe it may provide a bridge between microscopic and macroscopic information, and may express causal relations. This can be used to characterize the behavior of a system as a whole in terms of local dynamics. I obtained the Ph.D. in Computational Science at the University of Amsterdam in 2013, the M.Sc. in Computer Science from the Georgia Institute of Technology, U.S.A., and the B.Sc. in Computer Science from the University of Amsterdam, The Netherlands.
Senior expert at L'Oréal Research & Innovation President of the International Society for Biophysics and Imaging of the Skin (ISBS)
Ph.D student at Departmnt of Psychology and Institute for Information Processing and Decision Making (IIPDM), University of Haifa
I am a Ph.D student, doing experimental neuropsychology. I am member of the Evolutionary Cognitive Neuroscience lab (ENC), supervised by Dr. Shai Gabay at the Institute for Information Processing and Decision Making (IIPDM) and the Department of Psychology at the University of Haifa, Israel. My main research interest is distributed decision making by communities of biological agents under evolutionary pressures, such as neurons in the brain. I am formally trained in biology, psychology and (soon to be) licensed Clinical Neuropsychologist, and have studied the topic of complex systems for several years now, for my thesis and for my interest in the field.
at Kiel Institute for the World Economy
PhD student at Faculty of Physics University of Warsaw
I am currently a PhD student at Faculty of Physics University of Warsaw (Poland). My scientific work focuses on coevolving network models with applications in social sciences. I am also interested in econophysics, epidemic modeling, phase transitions in network models, and systemic risk modeling. During my studies, I spent one year at a scientific internship at the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC) in Palma de Mallorca (Spain). Before my doctoral studies I have obtained a bachelor’s (inflationary cosmology) and master’s (econophyscis) degree in physics. I co-organized Econophysics Colloquium 2017, Winter Workshop on Complex Systems 2019 in Zakopane, and recently the Warm Up before CCS 2019. I have a professional experience in software development. I am a member of the Advisory Board of the yrCSS and of the Steering Committee of the WWCS.
PhD student at University College London, Dept. Computer Science
Researcher at IFISC (CSIC-UIB)
Jose obtained the PhD in Physics at the University of Cantabria, Santander, Spain in 2002. He then held two postdoctoral positions at the University of Oporto (Portugal) and Emory University, Atlanta, USA. Afterwards, he has worked as researcher at the ISI Foundation in Turin, Italy, for four years, and is now a CSIC staff researcher at IFISC in Palma de Mallorca, Spain. His interests lie in the application of concepts and theories from complexity to social systems. This includes the analysis of new sources of ICT data to characterize and model communication, mobility, information and disease spreading and land use patterns in geographically extended systems. He has authored 80 publications in peer-reviewed journals and conferences and is academic editor for PLoS ONE and Scientific Report.
Juan Manuel Eugenio Ramirez de Arellano Niño Rincon
at Tecnologico de Monterrey
Professor at Instituto Politecnico Nacional
Interested in animal social behavior, using complex systems theory to understand how social structure emerges from individual behavior and interactions.
Professor of Theoretical Physics at the University of Catania, Italy
Andrea Rapisarda is associate professor of theoretical physics at the University of Catania, Italy. He has also the qualification of full professor in theoretical physics of fundamental interactions and in theoretical physics of condensed matter. He is also coordinator of a PhD course in “Complex systems for Physical, Socio-economic and Life Sciences”. He is an external faculty member of the Complex Science Hub Vienna (http://csh.ac.at/ ) . He is coauthor of more than 145 publications in international journals and member of the editorial board of Physica A, Heliyon, Cogent Physics, Frontiers in Physics (Social physics). His main interests of research are Statistical mechanics, Complex networks and Multi-agent models applied to socio-economic systems. He was also Rector's delegate for internationalization and Erasmus coordinator for the University of Catania in the period march 2013 - november 2016.
PhD Student at ETH Zurich
My name is Xiaolong Ren (任晓龙). I am currently a PhD student at Computational Social Science (COSS), ETH Zurich. My supervisor is Dirk Helbing. Before joining COSS, I received my master degree from Hangzhou Normal University supervised by Prof. Linyuan Lü, joint training with the University of Fribourg supervised by Prof. Yi-Cheng Zhang. My research interests lie in Network Science and Computational Social Science, including: -> Identifying influential users in social networks (aka “node centrality” in complex networks), -> Information spreading (such as prediction, acceleration, suppression, and competition, etc.) in social networks.
Lecturer (Assistant Professor) at University of Edinburgh
Hi, I'm Valerio, and I am a lecturer (assistant professor) at University of Edinburgh. I work on complex socio-economic systems, and currently my research focusses on opinion dynamics. In particular, I study how social influence propagates and how to maximise its spread across the network, and I'm trying to tackle real-world problems such as high uncertainty and competition for attention. My background is quite interdisciplinary, and it includes Physics, Engineering, Mathematics, and Computer Science. Even now, my work is carried out with three different research groups, from finance to computer science. Before starting the PhD I was working as a financial modelling consultant, and I still enjoy getting my hands dirty by taking projects from industry, either as a consultant or as part of a research project. Beside work, I can't miss a Juventus game and need to eat pasta everyday. For more details, please visit my webpage www.valerio.rest
at St. John Fisher College
Assistant Professor at Université de Bretagne Occidentale
Postdoctoral researcher at Stockholm Resilience Centre
Juan's research questions are oriented towards understanding emergent patterns, from critical transitions in ecological systems to collective action in society. He studies cascading effects of regime shifts, that is, whether the occurence of a regime shift in a particular ecosystem will change the likelihood of other regime shifts in far away ecosystems. He is also interested in developing methods to identify resilience surrogates. Juan is ecologist by training and holds a PhD in Sustainability Science. Juan is a postdoctoral researcher at the Beijer Institute of Ecological Economics (Swedish Royal Academy of Science) and the Stockholm Resilience Centre (Stockholm University). He is also visiting scholar at Levin's lab at Princeton University and in the Collective Learning group at Media Lab in MIT.
Professor at Indiana University
Luis M. Rocha is Professor of Informatics and Cognitive Science at Indiana University. He is director of the Complex Systems graduate Program in Informatics, member of the Indiana University Networks Institute, and core faculty of the Cognitive Science Program at Indiana University, Bloomington, USA. He is also the director of the Computational Biology Collaboratorium and in the Direction of PhD program in Computational Biology at the Instituto Gulbenkian da Ciencia, Portugal. His research is on complex systems, computational biology, artificial life, embodied cognition and bio-inspired computing. He received his Ph.D in Systems Science in 1997 from the State University of New York at Binghamton. From 1998 to 2004 he was a permanent staff scientist at the Los Alamos National Laboratory, where he founded and led a Complex Systems Modeling Team during 1998-2002, and was part of the Santa Fe Institute research community. He has organized major conferences in the field such as the Tenth International Conference on the Simulation and Synthesis of Living Systems (Alife X) and the Ninth European Conference on Artificial Life (ECAL 2007). He has published many articles in scientific and technology journals, and has been the recipient of several scholarships and awards. At Indiana University, he has received the Indiana University, School of Informatics & Computing, Trustees Award for Teaching Excellence in 2006 and 2015 after developing the complex systems training program and syllabi for several courses.
Luis E C Rocha
Professor in Econophysics and Social Physics at Ghent University
I am Professor in Econophysics and Social Physics in the department of economics at Ghent University, Belgium. I do interdisciplinary research, organise events, and teach topics on complex systems and network and data science applied to socio-economic and health systems. I am particularly interested in social and sexual networks, network analytics, agent-based models, computational simulations, dynamic or temporal networks, opinion dynamics, epidemics, random walks, sampling hard-to-reach populations, among other topics. My research focuses on computational modelling and simulations but I also frequently collaborate with a variety of colleagues on more theoretical (e.g. toy models) or more empirical (e.g. data collection) studies.
Full Professor at Université de Bretagne Occidentale (UBO)
Vincent Rodin is a full professor of computer science at the University of Western Brittany in Brest (France) since 2006. His research interests include image processing, multi-agent systems, and biological processes simulation. He received his Ph.D in Computer Science in 1993 from INP-ENSEEIHT at Toulouse and his HDR in 2004 from University of Rennes I.
Undergraduate student of Philosophy at UNESP - São Paulo State University -
I am an undergraduate student of Philosophy and my main interest is the study of emotional states in an interdisciplinary perspective. My topic of research is the concept of empathy and the study of the phenomenon of emotional contagion of empathic conduct in the social media from the complex systems perspective.
Ana Lucia Rodriguez
Doctoral Student at Florida International University
I am currently enrolled in Florida International University’s Department of Psychology Doctoral Program. I hold a B.A. in Political Science and two Master Degrees: one in Development and Culture (from Universidad Tecnológica de Bolívar in Colombia) and a second in Political and Social Sciences - Sociology and Demography Specialization (from Universitat Pompeu Fabra in Spain). My inter-disciplinary background has served as a foundation for my emerging methodological skills in Network Analysis (NA). Through the application of network sciences and social network analysis I am developing a program of research that seeks to identify the psychological and social impacts of health inequalities, inclusion/exclusion dynamics, and violence in intimate relationships.
Research Assistant at Aalto University
Senior Researcher at Barcelona Supercomputing Center
I specialise in applications of agent-based modelling in archaeological context. I have received an MA in Prehistoric Archaeology from the Jagiellonian University, Poland before undertaking an Msc and PhD in complex systems simulation at the University of Southampton, UK. My thesis 'Modelling hominin dispersals with agent-based modelling' focused on evolutionary dynamics between climate change, hominin population dynamics and migration. In 2017 I have joined the Barcelona Supercomputing Center to work on the EPNet project concerned with modelling the trade and commerce in Ancient Rome.
Marie Curie Research Fellow at Imperial College London
I am a Marie-Słodowska Curie Fellow at Imperial College London, based at the Centre of Complexity Science and affiliated both in the Departments of Mathematics and the Department of Electrical and Electronic Engineering. My current work is focused in the development of tools to enable a deeper understanding of the interdependencies that can take place in systems composed of many interacting agents. I am interested in the most fundamental and theoretical aspects of this problem, and also in the consequences and applications in diverse contexts, related to basic sciences, engineering and arts.
at Scuola Superiore Sant'Anna
at University of Barcelona
Starting from my master's degree, my research interests were aligned with complex systems and networks modeling, numerical experiments and simulations design. My master's thesis included the construction of difference schemes for nonlinear singular perturbed equations with nonlinear boundary conditions, as well as proofs of their convergence. This continued with my PhD thesis on modeling social dynamics in small groups (identifying well established conflict dynamic and lock-in patterns, describing them in terms of phase transitions and attractors). My research experience continued with introduction to network science problems: I have obtained a Marie Curie research grant on data dissemination in opportunistic networks, and worked in the group of Professor Marco Conti at the Institute of Informatics and Telematics CNR in Pisa, Italy, where I developed novel content-centric routing algorithms and data dissemination models. One year after I worked as a postdoctoral researcher in Denmark Technical University (crowd behavioral dynamics modeling), where I used Lennard-Johnes potential to approximate repulsion and attraction "social forces" (as per Helbing's model), which agreed well with the experimental data. Finally, during my last postdoc at University of Barcelona I have been working in the group of Professor Marián Boguñá — steering back to network science. There I have constructed a compartmentalized voter model on complex networks and showed (both analytically and numerically) that herding, consensus oscillations, opinion polarization and other related behaviors emerge spontaneously in this model under strong separation of time scales (published in Phys. Rev. E).
"Céline Rozenblat researches are widely directed on the relations between evolutions of powers and values and networks dynamics into systems of territories. In order to develop these topics in a comparative point of view, she built many large database on European cities and on networks since 1987. In particular, the question of comparizon was extremely delicate for European cities and she produced with Pumain and St-Julien, Cattan """"the concept of cities in Europe"""" for Eurostat (1991). She built since 1990 representative database on located multinational firms networks leading her to deal with territorial dynamics and actors' strategies in the same time. This duality obliged her to rethink multi-level approaches in geography, largely inspired by sociology of networks and physics. Diachronical and dynamic studies supply materials to develop spatial and dynamic models, simulations and vizualisations."
Associate Professor at Universitat Rovira i Virgili
Marta Sales-Pardo (Barcelona, 1976) graduated in Physics at Universitat de Barcelona in 1998, and obtained a PhD in Physics from Universitat de Barcelona in 2002. She then moved to Northwestern University, where she first worked as a postdoctoral fellow and, later, as a Fulbright Scholar. In 2008, she became a Research Assistant Professor at the Northwestern University Clinical and Translational Science Institute with joint appointments in the Department of Chemical and Biological Engineering and the Northwestern Institute on Complex Systems. In 2009, she accepted her current posistion as an Associate Professor in the Departament d'Engineyria Química at Universitat Rovira i Virgili. In 2010 she received a James MacDonnell Foundation Award and in 2012 she received an ICREA Acadèmia Award from the Catalan Goverment.
Silvia Salinas Ayaviri
research associate at Adolfo Ibañez University
I am a Ph.D. candidate at Adolfo Ibañez University at Chile in Doctoral Program in Complex Systems Engineering. Also I am an Adjunct Instructor of undergraduate courses for engineering, and sometimes work as a freelance designing some engineering solutions based on machine learning algorithms, for some institutions. My research is focuses on economic complex networks, risk assessment and predictive modeling. I am mostly interested in innovative methods in time series prediction considering effects of spatial dynamics and I work on it at the Center of Territorial Intelligence. Before my doctoral studies I have obtained a bachelor’s in Industrial Engineering and master’s degree in Supply Chain Management (adaptive complex systems). I am a Complex System passionate, I am an elected member of the council of Complex Systems Society (CSS) helping as a volunteer, Complexity Digest and CSS Newsletter .
Briane Paul Samson
PhD Candidate at Future University Hakodate
I am currently a research student under the doctorate program of the Graduate School of Systems Information Science at Future University Hakodate in Japan. I'm part of the Interactive Media Lab of Prof. Yasuyuki Sumi. I'm also an Assistant Professor of Computer Science at the College of Computer Studies, De La Salle University. I mainly teach courses on Software Engineering, Web Technologies, Complex Networks, and Human-Computer Interactions. Since September 2017, I have been on study leave. On my third year of teaching, I founded the Center for Complexity and Emerging Technologies (COMET) and is currently leading its Civic Services research group. As a computing researcher in the field of complex systems, I focus on the creation of models and simulations for urban mobility. I believe that some major challenges we face today include finding ways to understand how metropolitan cities work, operate and “live”, and consequently inform local governments in making representative, sound and sustainable planning decisions. Aside from my current research interests, I have also done research on natural language processing (knowledge discovery) and computer vision.
Research Director at Hamad Bin Khalifa University, Qatar Foundation
As the lead for the Smart Grid research program at Qatar Environment & Energy Research Institute, my focus is on grid integration, solar resource mapping and forecasting, demand-side management, and energy policy and economics. From 2003 to 2014, I was Chief Scientist at Pacific Northwest National Laboratory (PNNL), in the US. While at PNNL, I led research grants on security and emergency response (Department of Homeland Security, DHS), modeling the scientific workforce (National Institutes of Health, NIH), gene network prediction in stroke (NIH), and science of science and innovation policy (National Science Foundation). From 2007 through 2011, I directed a four-year advanced research program at PNNL on predictive analytics focused on security, energy and environmental applications. In 2004-2005, I headed a consortium of five national laboratories that established the Motivation and Intent thrust area at DHS and led the PNNL team in this effort through 2009. Prior to joining PNNL, I worked as R&D Director in the private sector, providing strategic vision, competitive intelligence and leading the development of new products. From 1998 to 2000, I served as a senior consultant at the European Commission, overseeing research consortia and organizing promotion, consultation and dissemination events. While at SHARP Laboratories of Europe from 1992 to 1998, I led the development of new products in the area of Machine Translation and Information Management, and was principal investigator on several projects funded by the European Union. Prior to 1992, I worked as a Research Associate at the Centre for Cognitive Science (University of Edinburgh, UK) and the Computer Laboratory (University of Cambridge, UK), doing applied research in Computational Linguistics.
Maxi San Miguel
Prof. at Universitat Illes Balears
PhD Student at Queen Mary University of London
at IMT School of Advanced Studies Lucca
Fabio Saracco is Assistant Professor in the NETWORKS Unit, leaded by Prof. G. Caldarelli, at IMT School of Advanced Studies Lucca (Italy). His research is mainly focused on the information theory approach for the analysis of complex networks. Before arriving to Lucca, Fabio worked as a post-doc at ISC-CNR (Institute of Complex Systems- National Center for Researches) at the Sapienza University, in Rome, in the group of prof. L. Pietronero. He has a Ph. D. in Theoretical Physics, with a thesis in String Theory, at the University of Milan Bicocca, under the supervision of Prof. A. Tomasiello.
FWF Postdoctoral Fellow at University of Vienna
From 2009 to 2012 Tatsuya Sasaki worked at the Evolution and Ecology Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria. He was a participant in the 2008 IIASA Young Scientists Summer Program, and returned to IIASA in May 2009 to continue his research on co-evolution of cooperative investment and voluntary participation in public goods games. In December of 2012, he accepted a second appointment as a postdoctoral fellow at the University of Vienna to investigate the emergence of sanctioning institutions with Prof. Dr. Karl Sigmund. Since June of 2014, Tatsuya has started the project "Joint evolution of indirect reciprocity and voluntary participation" supported by Austrian Science Fund (FWF): P27018-G11. Tatsuya's work lies at the application of mathematics to biology and social sciences. His primary interests include evolutionary dynamics, evolution of cooperation, liberty and openness, origin of sociality (norms, institutions, etc.), and conflict resolution. Tatsuya graduated from Osaka University in Japan in 1996 with a master's degree in complex algebraic geometry (supervisor: Kazuhiro Konno) and a bachelor's degree in mathematics. Following graduation he joined Okazaki Shinkin Bank, Japan, where his work was mainly involved with risk management. From 2004 to 2009 Tatsuya participated in a PhD course covering information systems science at Soka University (supervisor: Tatsuo Unemi), Japan, where he studied the evolution of cooperation numerically and analytically, and in spring of 2010, received his doctorate degree.
at Autonomous University of Mexico City
Actuarian from the National Autonomous University of Mexico (UNAM) and Master on Complexity Science from the Autonomous University of Mexico City (UACM). My profesional career has focused on data analysis to measure and evaluate government policies, specially regarding children's rights.
Professor at Binghamton University, State University of New York
Hiroki Sayama is a Professor in the Department of Systems Science and Industrial Engineering, and the Director of the Center for Collective Dynamics of Complex Systems (CoCo), at Binghamton University, State University of New York. He received his B.Sc., M.Sc. and D.Sc. in Information Science, all from the University of Tokyo, Japan. He did his postdoctoral work at the New England Complex Systems Institute in Cambridge, Massachusetts. His research interests include complex dynamical networks, human and social dynamics, collective behaviors, artificial life/chemistry, and interactive systems, among others. He is an expert of mathematical/computational modeling and analysis of various complex systems. He has published more than 120 peer-reviewed journal articles and conference proceedings papers and has edited ten books and conference proceedings about complex systems related topics. He is the author of "Introduction to the Modeling and Analysis of Complex Systems" (Open SUNY Textbooks, 2015), a free e-textbook on complex systems modeling and analysis.
Research fellow at CNR
Antonio Scala holds a Master degree in Physics and Computer Science at the University of Napoli "Federico II" and a PhD in condensed matter Physics at the Boston University. He is now research professor of physics in the CNR Institute for Complex Systems at the University of Roma "La Sapienza", associate professor at IMT Alti Studi Lucca and research Fellow at LIMS the London Institute for Mathematical Sciences. His main skills are Statistical Physics and Computational Physics; he has published papers on percolation, disordered systems, pattern formation, metastable liquids, glassy systems, energy landscapes, protein folding, complex networks, event-driven algorithms, Brownian simulations for hard-bodies, complexity in economics, network medicine, power grids, self-healing networks. His current research topics are complex infrastructural networks and computational social science.
ricercatore a tempo indeterminato at Universita di Salerno, Dipartimento di Fisica
1995: I graduated in Physics in 12/7/1995 in University "Federico II" of Napoli, with a thesis on Statistical Mechanics titled "Lattice Gas Frustrated Percolation Model of Glass transition", with 110/100 cum laude, supervisor prof A Coniglio. 1999:I obtained a PhD in Physics in 17/2/1999 in Salerno University, with a thesis on Statistical Mechanics of Artificial Neural Networks "On-line Learning in Neural Networks", with supervisor prof Maria Marinaro. Research Fellowship at Aston University (UK) from January 1999 to March 1999, in NCRG lab of prof David Saad. Research visitor in Gatsby UCL many times in 2002 Research Fellowship at University College of London (UK) in 2003, in the Gatsby Computational Neuroscience Unit of UCL. "Borsa di studio post-dottorato cofinanziata Comunità Europea (EU-funded)" University of Salerno, from April 1999 to November 1999. Assegno di Ricerca University of Salerno, from November 1999 to November 2002 Since 1/12/2002 I am a Researcher (ricercatore) in Physics at University of Salerno. Current funded Projects: - local coordinator of INFN-BIOPHYS “Application of Theoretical Physics Methods to Biology” Teaching: Course "Complex Systems and critical phenomena" in Master Degree in Physics of Unisa https://www.fisica.unisa.it/silvia.scarpetta/bookmarks/index-did2.html
Assistant Professor at University of Vermont
I am a mathematical biologist and an Assistant Professor of Mathematics & Statistics at the University of Vermont and a core faculty member of the Vermont Complex Systems Center. My research focuses on understanding disease as an emergent process and improving public health surveillance. Our group, the Emergent Epidemics Lab, approaches these topics by investigating questions at the intersection of biology, behavior, and disease. Through collaboration with laboratory, field, and public health researchers, the mathematical and computational models we develop are interrogated with novel experiments, evaluated on new data sources, and applied to public health problems. Our surveillance research, for example, is done in close association with state, national, and international public health agencies and has led to substantive changes in surveillance practices. I believe this type of collaboration between scientists and public health decision makers is critical for efficient, effective outbreak preparedness and response. Beyond disease, the group's research has also focused on a broad range of topics, including animal movement and group dynamics; traffic routing; the effects of environmental toxins on behavior and neural biology; and models of spatiotemporal variation in tree density and fruiting phenology.
Postdoctoral Researcher at Dipartimento di Ingegneria Elettrica, Elettronica ed Informatica (DIEEI), Catania (Italy)
I was born in Siracusa, Italy, in 1981. I received her B.S. and M.S. degrees in Telecommunication Engineering, from Department of Electrical, Electronics and Computer Engineering, University of Catania, Catania, Italy. I hold a Ph. D. in Computer Science and Telecommunication Engineering at the same department, under the guidance of Prof. Aurelio La Corte, in 2012. During the Ph.D. I attended severe schools and conferences on complex systems. I made an internship at Computer Laboratory, Department of Computer Science, University of Cambridge (UK), under the supervision of Prof. Pietro Liò, with whom I've been collaborating since 2011. Currently, I work as postdoctoral researcher at DIEEI, University of Catania. Continuing to collaborate with the University of Cambridge and other Universities, my scientific outputs falls on my research topics. I have an interdisciplinary approach to research and my interests include bio-inspired models, social networks, multilayer networks, epidemic models, human behaviours, game theory, complex systems, data mining, ICT.
Assistant Professor at University of Turin
Professor in Law & Computer Science at Leiden University Law School, Centre for Law in Digital Society (eLaw@Leiden)
Aernout Schmidt served (still obligatory at the time) as reserve marine officer (1964-1966) before reading law at Utrecht University (1966-1972), supporting his law education and his budding family by being a professional programmer on the side, at various Dutch universities (Utrecht, GU Amsterdam, Leiden 1969-1985). In 1985 he initiated the then new department for law and computer science, which later became eLaw@Leiden. Since 2003 full professor in Law & Computer Science, since 2010 emeritus, also at Leiden University. As can be traced in his publications (http://l-m-d.net/aernout/selected-publications-online/), his main scientific interests focus on discovering and understanding the evolution of legal mechanisms, and how their resiliences and efficacies can be influenced by social practices. His current projects (often with his former PhD student, dr. Kunbei Zhang) look at what added value complexity theory may provide to legal theory and practice – especially where the objects for regulation are complex adaptive (networked) systems. —— Since 2010 is Aernout of counsel of Corvers Procurement Services and participates e.g. in peer reviews and tenderboard quick scans. Since 2012 he is also of counsel of SCHMDT advocatuur. Since Augustus 2014 he is the only executive of dotLegal.net publishing, which bases its business model on producing material under public licenses.
Consultant at World Bank
2015 Ph.D. Economics University of Maryland, College Park Specialization: institutional economics, political economy, behavioral economics, computational economics 2010 Santa Fe Institute Complex Systems Summer School 2007 M.A. in Economics Central European University Specialization: institutional economics, classical and evolutionary game theory 2000 M.Sc. Interdisciplinary Natural Sciences Department ETH Zurich Specialization: physics, chemistry, philosophy of science and science studies
Luis F Seoane
Postdoc Fellow at IFISC
Senior Research Fellow at Jawaharlal Nehru University
Executive MBA Student at MIT Sloan School of Management
Assistant Professor at National University of Singapore
Post Doctoral Student at University of São Paulo (USP)
PhD in Computer Science, conducting research in the following areas: Biodiversity Informatics, Social Network Analysis, Interaction Networks and Bioinformatics. CV: http://lattes.cnpq.br/1572277575298913
at Dipartimento di Matematica, Universita' di Bologna
Roberta Sinatra is Assistant Professor at IT University of Copenhagen, and holds visiting positions at ISI (Turin, Italy) and Complexity Science Hub (Vienna, Austria). Her research is at the forefront of network science, data science and computational social science. Currently, she spends particular attention on the analysis and modeling of dynamics that lead to the collective phenomenon of success, with focus on science and art. Roberta completed her undergraduate and graduate studies in Physics at the University of Catania, Italy, and was first a postdoctoral fellow, then a research faculty at the Center for Complex Network Research of Northeastern University (Boston MA, USA). Her research has been published in general audience journals such as Nature and Science, and has been featured in The New York Times, Forbes, The Economist, The Guardian, The Washington Post, among other major media outlets.
I am a Ph.D. candidate in Physics Discipline at the Indian Institute of Technology, Gandhinagar (IITGN) - India. I work in the field of Complex Networks. In particular, I am trying to understand the temporal changes in the structure and dynamics of scientific collaboration networks. I am also interested in problems related to non-linear dynamics, Agent-Based Modelling of complex systems and recently I have a newfound interest in looking for Machine Learning applications in the field of Network Science.
J Mario Siqueiros-García
Researcher at IIMAS - UNAM
I am an Anthropologist and I have a PhD in Philosophy of Biology. I am interested in almost anything related to complex systems, complex social networks and culture. The projects I am current working have to do with the evolution of culture in the context of social-ecological systems couplings, transformations for sustainability and, rituality & prosociality.
PhD student at The University of Sydney
PhD student at The University of Sydney
PhD Student at Queen Mary University of London
I am a PhD Research Student at the School of Mathematical Sciences at Queen Mary University of London working in the field of Complex Networks. I’m particularly Interested in emergent phenomena in complex systems, collective behaviour, segregation dynamics, spatial heterogeneity and cities as well as their characterization by networks, computational modelling and data analysis.
Assistant Professor (RTD-A) at IMT School for Advanced Studies Lucca
Tiziano Squartini is a physicist, working from November 2015 as an Assistant Professor at IMT School for Advanced Studies Lucca (within the NETWORKS Research Unit). He was born in 1983 in Siena, where he graduated in 2008 with a Master's Degree in Physics and defended his PhD thesis ("Information-theoretic approach to the analysis of complex networks") in 2011. During the biennium 2012-2013 he was Postdoctoral Researcher at the Lorentz-Institute for Theoretical Physics (Leiden, NL) under the supervision of Diego Garlaschelli. From January 2014 to October 2015 he was Postodoctoral Researcher at the Institute for Complex Systems UOS Sapienza in Rome, under the supervision of Luciano Pietronero. His research activity focuses on both the theoretical and the applied side of complex networks theory (e.g. network reconstruction, network validation, link prediction, early-warning signals detection in economic and financial systems). He currently collaborates with the Supervisory Policy Division of the Dutch National Bank and the Bank of England. Other research interests concern statistics, statistical mechanics, brain networks and neural networks.
at Universitat de Barcelona
I am currently starting a position as McDonnell postdoctoral research fellow at the University of Barcelona (Spain). I received a PhD in Physics at the Universitat Politecnica de Catalunya (Spain) in October 2014, defending the thesis "Time-varying networks approach to social dynamics: from individual to collective behavior", under the supervision of Prof. Romualdo Pastor-Satorras. I hold a Master degree in theoretical physics, completed at the University of Pisa (Italy), in October 2010. I am interested in the analysis and modelling of empirical data of social dynamics, and the study of dynamical processes unfolding on time-varying networks. I also studied the emerging of collective phenomena in static networks.
PhD student at University of Southampton, UK
I am currently a Postgraduate Researcher at the Doctoral Training Centre (DTC) in Complex Systems Simulation, University of Southampton. I am also an Alumnus of the Santa Fe Institute and a Physics/Maths Teaching Assistant. My background is in mathematical physics but my current research focuses on multiplex network models applied to real-world systems such as language and ecosystems. I have an analytical problem-solving mindset, I like working as a part of a team but I am also quite independent research-wise. I do enjoy Physics and Complexity for their intrinsic multidisciplinarity, I like teaching in terms of getting/sharing knowledge.
PostDoctoral Researcher at University of Zurich, Department of Banking and Finance
Veronika Stolbova is a postdoctoral researcher at the Department of Banking and Finance of the University of Zurich and holds a PhD in theoretical physics. Her expertise lies in the empirical and theoretical analysis of climate variability, climate risks and treatment of big data applications. Her current research focuses on the application of network theory to interactions among institutions and the impacts of climate change on the financial system and market players. This work applies a climate stress test framework to analysis of the impact of climate change on the financial system. She is also contributing to the H2020 program ISIGrowth, related to social and economic dynamics and policy implications, and the Carbon Bubble project, aimed at estimating climate-related risks for the euro area economy.
Research Scientist at Dipartimento di Fisica e Astronomia "G. Galilei", University of Padova
I am assistant professor (RTD-A) at the University of Padova, @LIPh_Lab. My work focuses on research at the interface of ecology and complex systems under an theoretical framework provided by statistical mechanics. It addresses a wide range of related topics, including ecological networks, stochastic modelling of ecosystems dynamics, biodiversity, and macro biomes. I like to look for any ubiquitous patterns or universal scaling behavior in real systems, that are signals of emergent order despite the variety and complexity of the systems involved. Recently I have started to collaborate in the Padova Neuroscience Center (http://cnc.unipd.it). I urgently need to work on as many topics as my brain allows:-) I'm among the organisers of the CCS satellites series "Robustness and Adaptability in Living Systems". My Scoop.it page is https://www.scoop.it/t/ecolophysics and you can follow me @SamirSuweis.
Graduate Researcher at University of Kansas
at Kyushu Institute of Technology
PhD student at The Robert Zajonc Institute for Social Studies
Chargé de Recherche (CR) at Centre National de la Recherche Scientifique (CNRS)
Andreia Sofia Teixeira
Postdoctoral Researcher at Indiana University
I am a Postdoctoral Researcher at Indiana University Bloomington, in the Center for Social and BioMedical Complexity and a Fellow at IU Network Science Institute (IUNI). I am also a member of the advisory board of yrCSS, a member of the Local Committee and the Social Media Chair of The 8th International Conference on Complex Networks and Their Applications and one of the organisers of the Workshop Complexity72h 2020. In 2019 I finish a PhD in Information Systems and Computer Engineering, that was done under the supervision of Alexandre P. Francisco and Francisco C. Santos, from the Department of Computer Science and Engineering of Instituto Superior Técnico (IST), Universidade de Lisboa (Portugal). My research interests are: Graph Theory / Algorithms on Graphs , Network Science / Complex Systems , Computational Social Sciences , Computational Biology , Evolutionary Game Theory / Modelling Human Behaviour. My research work is focused on the development of metrics, computational models and simulation frameworks to understand collective dynamics, specifically in what concerns the evolution of biological and social systems.
Ana Teixeira de Melo
Researcher at Centre for Social Studies- University of Coimbra
Ana Teixeira de Melo is a researcher at the Centre for Social Studies of the University of Coimbra. She holds a PhD in Psychology, speciality of Clinical Psychology by the University of Coimbra. She obtained her undergraduate degree in Psychology (Licenciatura- 5 years) by the University of Porto with the pre-specialisation in Psychological Counselling and Youth and adults and she obtained her Masters in Clinical Psychology by the University of Minho. Her main field of interest is the Family and the investigation of the processes underlying flourishing and well-being, positive change and resilience, particularly in situation os multiple challenges. She explores processes associated to human complexity and positive development and change. In this context, she investigates, from a complex systems approach, Love-Force as a special emergent property of interpersonal relationships and a critical process associated with human flourishing, change, adaptation and resilience. She is interested in the theme of Complexity and the study of Complex Systems, in particular processes of change in social human systems. Her research interests encompass the development of evaluation of theoretical frameworks as well as pragmatic resources and strategies to support a Complex Thinking applied to the management of change in social systems. She has developed a practice of collaborative action-research and applied research focused on family development in community contexts and in the development of models, resources and tools for the evaluation and promotion of the potential for change (flourishing and well-being, positive change and resilience) and of positive parenthood in families, in general, and in multichalleged families with at-risk children, in particular. She is author of several family/parenting prevention programs such as "Searching Family Treasure" and "Travelling through lands of parenthood(s)" and of integrative approaches to support multichallenged families, such as the "Integrated Family Assessement and Intervention Model" Besides having a inter/transdisciplinary nature of her research is also focused on processes and practices associated to a positive Inter/Trandisciplinarity, adopting a relational and process-focused approach, informed by a complex systems approach. She is also interested in themes related to Interdisciplinary Methodologies and Methods and to the Philosophy of Sciences. She is associate of the York Cross-Disciplinary Centre for Systems Analysis, of the University of York, United Kingdom, where she was a visiting academic (2016-2018). She was a visiting academic in Department of Health Sciences (2017-2018), of the University of York, United Kingdom. Other websites: https://www.researchgate.net/profile/Ana_Teixeira_De_Melo https://coimbra.academia.edu/AnaTeixeiradeMelo
Santa Elena Tellez Flores
Marijn ten Thij
Research Leader at Institute for the Scientific Interchange (ISI) Foundation
Michele Tizzoni is Research Leader at the ISI Foundation in Turin (Italy) where he leads some of the research activities of the Digital Epidemiology and the Data for Social Impact laboratories. He is also Adjunct Professor at the University of Turin for the Master's Degree in Physics of Complex Systems. His research interests revolve around the general field of infectious disease epidemiology with a special focus on mathematical modeling and the application of interdisciplinary methods, such as network theory and novel digital approaches, to the field. More recently, Michele has been working on several projects in the "Data for Good" domain, collaborating with non-profit organizations in the field of social innovation, philanthropy, international development and humanitarian action. Michele received his Ph.D. in Physics from the Polytechnic of Turin in 2012 and he was then post-doctoral fellow at the BC Center for Disease Control in Vancouver, BC, Canada. In 2010, he was visiting Research Scholar at the Center for Complex Networks and Systems Research of Indiana University, Bloomington, IN, USA. He is serving as a member of the Editorial Board of the journals PLOS ONE and Scientific Data.
at BBVA Data & Analytics
Researcher at Universidad de Chile / Universidad Adolfo Ibañez
I'm a Bioinformatics Engineer and Ph.D. in Complex Systems Engineering. I'm experienced in genomics, metagenomics and system biology.
Head of LUPT at University fo Naples Federico II
1985, he is the Director of the LUPT Interdepartmental Research Centre. Within the LUPT Centre he is the head of Smart and Green cities research unit, co-manages the CRIS Cluster di Ricerca sull’Innovazione Sostenibile, leads the Europe Direct Information Centre established under the funding of EU DG Comm and the High Observatory on the Policies of Europe (HOPE). He has managed relevant national projects (e.g. OR.C.HE.S.T.R.A. - ORganization of Cultural HEritage and Smart Tourism and Real-time Accessibility; COMMUNISTATION -System for integrated and collaborative communication during environmental emergencies) and European projects, such as SURE SEARCH - Structured empirical analysis for convergence regions: identifying success factors for consolidated growth (ESPON 2013 Programme Priority 2) and HIDDEN - Hidden Innovation Initiatives for SMEs (Programme MED Priority Axe 1: Strengthening innovation capacities Objective 1.2). He promotes several international agreements, among these are: MoU with UN-Habitat (World Urban Forum 6; AGGI Gender Unit), Spanish Government, AlexBank (Egypt).
PHD STUDENT at Institute of Nanoscience & Nanotechnology, NCSR "Demokritos"
Dr Tsuchiya was awarded a PhD at California Institute of Technology (Caltech) in 2006 and underwent postdoctoral training at Caltech until 2010. Receiving a PRESTO grant from Japan Science and Technology (JST) agency, Dr Tsuchiya returned to Japan in 2010. In Jan 2012, he joined the School of Psychological Sciences at Monash University as an Associate Professor. Since 2013, he is an ARC Future Fellow. His main research interest is to uncover the neuronal basis of consciousness. Specifically, he focuses on 1) the scope and limit of non-conscious processing, 2) the relationship between attention and consciousness, and 3) the neuronal correlates of consciousness by analysing the multi-channel neuronal recording obtained in animals and humans and 4) testing a theory of consciousness, in particular, integrated information theory of consciousness. Through interdisciplinary collaborations, he uses a variety of research approaches, ranging from empirical (lab-based or online-based psychophysics, neuroimaging), computational (information theoretic/causal analyses/modeling of neural activity), to theoretical (including conceptual analysis and category theory) methods.
Associate Professor at University of Athens, Dept. of History and Philosophy of Science
Associate Professor at University of W. Attica
postdoc at University of California, Los Angeles (UCLA)
I was born in Torino, Italy, on February 13 1988. I got my MSc in theoretical physics from the University of Torino in 2012, and then move to Paris, France for my PhD at Vittoria Colizza's lab, at the French National Institute of Health and Medical Research. Then, I did a postdoc at the Rovira i Virgili University in Tarragona, Spain, under the direction of Prof. Alex Arenas. I am currently a postdoctoral researcher at the School of Medicine of the University of California Los Angeles (UCLA). My research focus is the spread of diseases on time-evolving networks. I combine data-driven and analytical approaches to assess the vulnerability of networks to disease introduction and persistence, and evaluate the impact of prevention and containment strategies. I deal with a wide range of diseases and real-world networks, ranging from airborne human diseases spread to face-to-face interactions, to animal diseases carried around by livestock movements. @eugeValdano
Tenured Scientist at CSIC
I am a CSIC Tenured Scientist at the Institute of Evolutionary Biology (IBE), where I lead the Evolution of Technology Lab. I am also visiting professor in the Degree of Biomedical Engineering at the Universitat Pompeu Fabra (UPF), from the Department of Experimental and Health Sciences (DCEXS) and member of the Complex Systems Lab. I hold a Degree in Informatics Engineering and a PhD in Applied Physics by the Universitat Politecnica de Catalunya (UPC). My long-term research goal is to understand the design principles and evolutionary dynamics of living and artificial systems. I have 15-years of expertise in the areas of complex systems and computer simulation and I have published more than 48 peer-review related articles in network science, systems biology, collective intelligence and technological and cultural evolution. Recently I was elected member of the Complex Systems Society (CSS) Council (2016-2018). I was involved in the three major IST FET FP6 projects in Complex Systems (PACE, ECAgents and DELIS). I am currently coordinating the project CLUSTECH (Detecting Emerging Technologies in Innovation Networks), funded by the Spanish Agency of Science and Technology.
Erik van der Linden
Professor of Physics and Physical Chemsitry of Foods
Jeroen van Lidth de Jeude
PhD student in Economic Networks at IMT School for Advanced Studies Lucca
Economic Networks @ IMT lucca (before I was at the center for complexity science at Warwick University) imtlucca.it/jeroen.vanlidth
at Indiana University
Dual PhD student in Complex Networks & Systems and Computational Neurosciences at Indiana University MPhil in Clinical Medicine (Neurosciences) from the University of Cambridge B.A. in Molecular and Systems Neuroscience from Hampshire College Interested in the brain because it's the coolest complex system. Specific Interests: - Critical dynamics in the brain - State-detection and state-transition analysis - Molecular and systems correlates of learning - Computational psychiatry - Consciousness science - Psychedelic science - Disorders of consciousness, clinical neurosciences. - Fire eating
Associate Professor at Indian Institute of Science
My lab is interested in the general area of biological complexity. Specifically, how living entities, from cells to complete organisms, sense complex environments and guide their motion in response to the sensory information. We are currently looking at large bacterial swarms as well as chemotactic search by mobile robots as model systems to understand some of the issues connected to this topic.
PhD at Imperial College London
Carlos J. Vega
PhD student at CINVESTAV-IPN Unidad Guadalajara
As of now, I am a postdoctoral researcher in CNAM (Paris), studying recommender systems. Before that, I have been a PhD student in the ComplexNetworks team, under the supervision of Matthieu Latapy and Clémence Magnien, in Paris. In the last two years, I have participated to the "Fête de la Science", a national french initiative for scientific vulgarisation, and been in the organizing committee of the MARAMI 2014 conference. I am also part of the organisation committee of ASONAM 2015. (http://complexnetworks.fr - http://tiphaineviard.com). My research focuses on the modelling of streams of interactions (contact networks, email networks, IP traffic...) and anomaly detection in such streams.
at University of Paris 1
Elizabeth von Briesen
PhD Student at UNC Charlotte
Associate Professor at Arizona State University
Associate Professor, Beyond Center for Fundamental Concepts in Science and School of Earth and Space Exploration, Arizona State University. Fellow, ASU-Santa Fe Institute Center for Biosocial Complex Systems. Founder, SAGANet.org. Board Member, Blue Marble Space. Active in public engagement in science, with recent appearances on “Through the Wormhole” and NPR’s Science Friday. Ph.D., Dartmouth. B.S., Florida Institute of Technology.
assistant professor at wageningen ur
My main interest is adaptive water management. I assess robust land and water management strategies and evaluate barriers and opportunities for mainstreaming adaptation to climate change in regional policy. Recent work uses adaptation turning points and pathways as concepts for assessing and communicating the implications of climate change. An adaptation turning point is reached when the performance of the current management approaches drops below a decisive level. Adaptation pathways are sets of measures and decisions to be implemented progressively, depending on how the future unfolds. Projects include supporting the Delta Programme for the Netherlands (www.deltacommissaris.nl) and the Bangladesh Delta Plan (http://bangladeshdeltaplan2100.org), the CARPIVIA project on vulnerability and adaptation in the Carpathian region (www.carpivia.eu) and the Mau Mara Serengeti (MaMaSe) Sustainable Water Initiative in Kenya.
Associate Professor at University of Bristol
Associate Professor of Complexity Sciences, School of Mathematics, University of Bristol; PhD: Physics, Uppsala University; Uppsala, Sweden (2004). Title: Core-Hole Dynamics and Eletronic Structure of Ozone. Postdoctoral Fellow: Santa Fe Institute; Santa Fe, NM (2004), University of California Davis; Davis, CA (2004-2006), Visiting Research Professor, Lund University (2010); Assistant Professor of Complexity Sciences (2007 - 2016), University of Bristol
post-doc at Scuola Normale Superiore di Pisa
I am currently a post-doc at Scuola Normale Superiore di Pisa, working with prof. Fabrizio Lillo. Previously I was a PhD student at the Faculty of Physics, University of Warsaw. My thesis focused on correlation based measures and graph theory as tools for complex systems description and analysis. Among many others, I have worked on areas like: brain activity, financial markets, systemic risk and foundations of phase transitions in co-evolving network models. During my studies I did two international scientific internships. First at the University College Dublin in Ireland, where I have worked for two months in the Complex Adaptive Systems Laboratory, and second at the Faculty of Science, Kyoto University in Japan. Before my doctoral studies I have obtained a bachelor’s and master’s degree in mathematics (differential equations and dynamical systems) and later a master’s degree in physics (complex systems).
Researcher at Living Systems Research
I am a physical chemist working in the field of nonlinear dynamics and self organization. I work with systems like the Belousov Zhabotinsky reaction, which is the example of a self-organized chemical reaction, a drop of dichloromethane on a surfactant solution, which shows impressive periodic pattern formation and the swarm behavior of social insects and what we can learn from them to improve the interaction of swarms of robotors.
Senior Researcher at Global Climate Forum
Sarah Wolf has a background in mathematics, with a focus on probability. At the Potsdam Institute for Climate Impact Research (PIK), she used mathematics as a language to clarify concepts, and with this interdisciplinary work she has obtained a PhD in mathematics from Freie Universität Berlin (Thesis: From Vulnerability Formalization to Finitely Additive Probability Monads). Since 2009, she works on agent-based modelling – first at PIK in the Lagom modelling group, now at the Global Climate Forum (GCF), an association based in Berlin that initiates and performs innovative research on climate change and related global challenges. Sarah's main research interest in terms of methods is a better understanding of the dynamics of agent-based models. Content-wise, she is most interested in understanding green growth mechanics, that is, in finding a parsimonious economic model about how a recoordination of agents’ expectations can lead to win-win situations for climate and the economy. With her work, she intends to contribute to the field of Global Systems Science, that combines complexity with stakeholder involvement in the research process, to address global challenges.
Project manager and Masters student at Unilever Centre for Environmental Water Quality, Institute for Water Research, Rhodes University
Currently working part time at the Unilever Centre for Environmental Water Quality, Institute for Water Research at Rhodes University in Grahamstown, South Africa. I manage various projects (administration and finance) for Professor Carolyn (Tally) Palmer. I am also doing a part time Masters in water governance, institutions and complexities of community participation through the Environmental Education department at Rhodes University.
G. Cigdem Yalcin
Associate Professor at Istanbul University, Physics Department
She is an Associate Professor of Physics at Istanbul University. She obtained her Ph.D in physics from Istanbul University in 2010. Her research fields are based on nonlinear dynamics, and statistical physics of complex systems, including mathematical modelling of complex systems and interdisciplinary applications. She had a chance to work with Prof.Dr. Murray Gell-Mann. She is co-author of research papers in journals including PNAS and Scientific Reports. She is the scientific coordinator of the Nonlinear Science Working Group in Turkey.( www.non-linearscience.org ) She has accepted a position at the Santa Fe Institute’s Complex Systems Summer School in 2017. She is an academic visitor at the Santa Fe Institute and Queen Mary University of London for research colloborations. She is member of Asian Network of Complexity Scientists, Complexity Institute, Nanyang Technological University, Singapore. For more information: www.complexityscience.net
PhD Student at University Institute of Lisbon
Mario Yanez is dedicated to envisioning and inspiring a transition toward life-sustaining, regenerative human communities. He has an academic background in finance, information systems and ecology. He has several decades of experience applying systems thinking to developing and funding cutting-edge interventions supportive of a much-needed cultural evolution. As a whole-systems designer, he is working globally at various scales, implementing productive landscapes and ecosocial systems. As a scholar-practitioner, he is researching pathways toward cultivating wholeness. Mario is native to the Greater Everglades bioregion.
Assistant Professor at Oxford Internet Institute, University of Oxford
Taha Yasseri is a Research Fellow, Assistant Professor of Computational Social Science at the Oxford Internet Institute (OII), University of Oxford. He graduated from the Department of Physics at the Sharif University of Technology, Tehran, Iran, in 2005, where he also obtained his MSc in 2006, working on localization in scale free complex networks. In 2007, He moved to the Institute of Theoretical Physics at the University of Göttingen, Germany, where he completed his PhD in Complex Systems Physics in 2010. Prior to coming to the OII, he spent two years as a Postdoctoral Researcher at the Budapest University of Technology and Economics, working on the socio-physical aspects of the community of Wikipedia editors, focusing on conflict and editorial wars, along with Big Data analysis to understand human dynamics, language complexity, and popularity spread.
Lecture in Operations Management at University of York
My current research interests are focused around applying systems theory, complex systems theory, and network analysis techniques to investigating the operations of organisations and groups of organisations (business, governments etc). I combine modelling and simulation techniques (agent based modelling, and network analysis) with the analysis of information (natural language processing and machine learning/AI) to investigate how organisations and society works, and how interventions can be made. Related to this I am interested in how the culture, memory, and knowledge of an organisation can be theorised as an emergent property of the complex system itself. I am also interested in the power of information and its consequences for our privacy and liberty, and I conduct research on whistleblowers, cyber security, and leaks. I also have a philosophical interest in complexity theory and complex thinking. Including the intellectual origins of the work (Cybernetics and systemic theory), what these techniques say about failure, and the links between complexity and Assemblages and Atmospheres.
I am a Ph.D candidate working under the guidance of Prof. Louis J. Dubé at Université Laval, Québec, Canada. We study both the classical theory of complex systems (e.g. stochastic growth processes) and modern subjects such as complex networks. I focus on the spectral theory of complex networks / graphs, it's connection with random matrix theory, and community detection.
Full professor at University of Milano
Stefano Zapperi is a professor of theoretical physics at the University of Milano. He is group leader at the ISI foundation in Torino and recipient of an Advanced Grant from the European Research Council. He obtained a Ph. D. from Boston University in 1998. After a postdoctoral fellow at ESPCI, Paris, he obtained a tenured research position at the University of Roma “La Sapienza” and then at the University of Modena and Reggio Emilia. He is member of the editorial board of JSTAT. He organized nine international workshops and symposia on applications of complex systems to materials science and biomedicine and was invited to be part of the scientific committee of several international conferences. In 2007, he acted as the secretary of the International Conference on Statistical Physics (STATPHYS 23). In 2004 he received the Marie Curie Excellence award. He is an expert in the statistical mechanics of non-equilibrium complex systems and has worked in fracture, plasticity, friction, magnetism and quantitative biology. In 2014, he has been named Finland Distinguished Professor by the Academy of Finland.
at Delft University of Technology
Professor of Public Policy & Computer Science at University of Vermont
Dr. Asim Zia is serving as a Professor of Public Policy and Computer Science in the Department of Community Development and Applied Economics, with a secondary appointment in the Department of Computer Science, at the University of Vermont. His scholarship, research and public service activities have focused on advancing the interdisciplinary fields of complex systems modeling, computational policy analysis, governance network analysis, coupled natural and human systems and social ecological systems. He has served on scientific review committee of national socio-environmental synthesis center (SESYNC) (2014-17), acts as an academic editor for PLOS One (since 2013), and associate editor of Complexity, Governance and Networks. He has a Ph.D. in Public Policy from the Georgia Institute of Technology; recipient of 2004-2005 best dissertation award from the Association for Public Policy Analysis and Management, a post-doctoral fellowship from the National Center for Atmospheric Research (2004-2006), a fellow at the Gund Institute for Environment (since 2011), a senior research fellow for the Earth System Governance project (since 2012) and a senior fellow for Global Change Impact Studies Center (since 2017).
Research and Teaching Assistant at Université des Antilles
In the past 5 years, I dedicated my works to the study of metallothionein diversity, microbial ecotoxicology, science popularization and decompartmentalization of science disciplines. Doctor es sciences since 2017 (Lyon1 University), with Laurence Fraissinet-Tachet as supervisor, I participated to the desription of a new metallothionein family and the reconceptualization of these proteins at the light of system biology. Now, I'm working and the integration of environmental and human sciences into the anthropocene research field.
Postdoctoral Researcher at Ca' Foscari University of Venice
I am a Postdoctoral Researcher at Ca’ Foscari University of Venice and fellow member of the Laboratory of Computational Social Science (CSSLab) coordinated by Walter Quattrociocchi at IMT Lucca, Italy. I come from a background in Computer Science and I received my PhD in Computer, Decision and Systems Science from IMT Lucca in November 2016. My research is based on a interdisciplinary, cross-methodological approach and focuses on information and misinformation spreading, social dynamics, and the evolution of collective narratives on online social media. I collected several papers on the topic, both with Italian and International co-authors. My results have been included in the Global Risk Report 2017 of the World Economic Forum and have been widely covered by the media (among the others: The New York Times, The Washington Post, The Economist, Bloomberg View, The Guardian, Phys.org, Le Scienze, Pour La Science, El Pais). I was an invited speaker at Brain Awareness Week 2017 @SISSA, Wissenswerte 2016, Festival delle Comunità e del Cambiamento 2016, International Journalism Festival 2016.