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  • Fatimah Abdul Razak

    Senior Lecturer at Universiti Kebangsaan Malaysia

    Fatimah Abdul Razak is Senior Lecturer at the Department of Mathematical Sciences, Faculty of Science & Technology (FST), UKM. She is currently the Head of Industry and Community Partnerships FST UKM. She received her BSc and MSc from International Islamic University Malaysia (IIUM) before pursuing Part III of the Mathematical Tripos at the University of Cambridge. Her PhD was with the Complexity and Networks Group (rebranded the Centre for Complexity Science) and the Department of Mathematics, Imperial College London. The former IIUM debater and lifelong language lover believes that mathematics is the most beautiful language of them all. She hopes to infect others with this belief and love for mathematics. Her current research and multidisciplinary collaborations involve using various mathematical approaches to tell stories from data especially using Complex Systems, Network Science, Probabilistic Statistical Mechanics, Graph Theory, Dynamical Systems and Topological Data Analysis. She can be contacted at fatima84@ukm.edu.my.

  • Cheryl Abundo

    PhD

  • Babu Adhimoolam

    at University of Illinois Urbana Champaign

  • Laura Alessandretti

    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

  • Ada Altieri

    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.

  • Maia Angelova

    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.

  • Celia Anteneodo

  • Alberto Antonioni

    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/

  • Alex Arenas

    Professor at Universitat Rovira i Virgili

  • Panos Argyrakis

    Professor at Aristotle University of Thessaloniki

  • Oriol Artime

    at Fondazione Bruno Kessler

  • Curtis Atkisson

  • Sven Banisch

    PhD

  • 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.

  • Krishna Bathina

    at Indiana University

    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.

  • Federico Battiston

    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.

  • Michael Batty

    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.

  • Giulia Bertagnolli

    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

    Professor

    MLB is Full Professor of Mathematical Physics at the Free University of Bolzano, Italy. She got the “Laurea” in Mathematics at the University of Trento in 1982 and the Degree of Magister Philosophiae in Mathematical Physics at S.I.S.S.A., Trieste in 1985. Previous academic positions include: Assistant Professor at Trento University (1986-1998), Associate Professor at Palermo University (1998-2000), Full Professor at the Palermo University (2000-2008). Her research activity concerns nonlinear dynamics. In past years it has been mainly devoted to the study of Hamiltonian systems. Currently and since some years it deals with complex systems arising in applied sciences (especially, socio-economic sciences), modelling and simulations. Key Words: Dynamical Systems Hamiltonian Systems Nonlinear Analysis Mathematical Models Complex Systems Complex Networks

  • Paul Bilokon

    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.

  • Marián Boguñá

    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.

  • Javier Borge Holthoefer

    Scientist at Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC)

    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.

  • Pierre Borgnat

    Directeur de Recherche at CNRS, ENS de Lyon

  • Federico Botta

    at Data Science Lab, Warwick Business School

    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.

  • Roland Bouffanais

    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).

  • Alexandre Bovet

    Postdoctoral Research Associate at University of Oxford

    I am a researcher interested in complex systems and in their modelling using complex networks. I am interested in interdisciplinary approaches to answer social and economic questions using tools from physics and data science. In particular, I am interested by the following topics: Temporal networks: dynamic community detection, dynamics of social networks Information and opinion diffusion: influence of misinformation, mechanism of opinion formation and diffusion Data science: clustering algorithms for dynamical data, opinion mining, causality discovery I am currently a Postdoctoral Research Associate in the Mathematics of Social Systems and Applications to Public Policy at the Mathematical Institute at Oxford University, in the Mathematical Data Science group with Prof. Peter Grindrod. Before that, I was a SNSF Advanced Postdoctoral Fellow at the Mathematical Engineering department (INMA, ICTEAM) of the Université Catholique de Louvain with Prof. Jean-Charles Delvenne and at the Namur Center for Complex Systems/Mathematical Institute of the University of Oxford with Prof. Renaud Lambiotte working on temporal networks. I was also a SNSF Early Postdoctoral Fellow at the Levich Institute of the City College of New York, USA, with Prof. Hernan Makse, 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 with Prof. Barbara Koenig at the Theoretical Biology lab of Prof. Sebastian Bonhoeffer 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 with Prof. Ambrogio Fasoli and Prof. Ivo Furno as supervisors.

  • Giuseppe Brandi

    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.

  • 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.

  • MARIANA BROENS

    Associate Professor at Sao Paulo State University - UNESP

    Mariana Claudia Broens - Associate Professor of Philosophy at UNESP - University of Sao Paulo State – Brazil. She teaches Philosophy of Mind and Theory of Knowledge and has a special interest in the following research topics: Self-organization, embodied embedded cognition, ecological information, information Ethics and Big Data. She is a member of the Research Group on Cognitive Studies at UNESP, the Research Group on Self-Organization at UNICAMP, the international Society of Ecological Psychology the Complex Systems Society. Scholarship in Research Productivity - CNPq. She also is a researcher of the project “Understanding Opinion and Language Dynamics using Big data” (http://project.u-cergy.fr/~opladyn/) with the support of the TransAtlantic Platfom Digging into Data Challenge and and FAPESP (Fundação de Amparo à Pesquisa do Estado de Sâo Paulo - https://diggingintodata.org/awards/2016/news/winners-round-four-t-ap-digging-data-challenge). E-mail: m.broens@unesp.br

  • IULIA MARTINA BULAI

    Research Fellow at University of Basilicata

    I am an Assistant Professor (RTDa) at the University of Basilicata, Department of Mathematics, Informatics and Economics. I was a Post Doc at the University of Padova working under the supervision of Prof. Morten Gram Pedersen, since March 2017. I have completed my PhD in mathematics at the University of Torino in February 2017, under the supervision of Prof. Ezio Venturino. I am member of several societies such as BPS, CCS, EWM, GNCS-INdAM, SMB. I have participated at several international and national conferences/workshops/summer schools as speaker/ invited speaker or with posters (around 25 in 6 years) and several visiting positions at national and international level . My research area of interest includes: Mathematical models applied to cancer; Graph signal processing; Electrical activity in endocrine cells; Eco-epidemiological mathematical models; Wastewater bioremediation; Mathematical models applied to real life problems; Applied mathematics.

  • Guido Caldarelli, Vice-President

    Professor at University of Venice Ca' Foscari

    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

  • Violeta Calleja Solanas

    at IFISC (CSIC)

  • Chico Camargo

    Lecturer in Computer Science at University of Exeter

    I am a Lecturer (or Assistant Professor, depending on where you come from) in Computer Science at the University of Exeter, a research associate at the Oxford Internet Institute, University of Oxford, member of the Exeter Institute for Data Science and AI, and director of the CC Lab. I am also a science communicator, having written for Science, HuffPost Brazil, The Conversation, and produced over 50 videos for YouTube. My research interests cover the intersection of computational social science, complex systems, data science, cultural evolution, cultural sociology, and information theory. In summary, I develop new computational methods to study the evolution of information.

  • Benjamin Carantino

    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

  • Timoteo Carletti

    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.

  • Sean Carroll

    at California Institute of Technology

  • Geoffrey Caruso

    Professor at University of Luxembourg and Luxembourg Institute of Socio-Economic Research

  • Ciro Cattuto

    Scientific Director at ISI Foundation

  • Anirban Chakraborti

    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.

  • Abhijit Chakraborty

    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

  • hocine cherifi

    at university of burgundy

  • Chantal Cherifi

    Assistant professor

    Chantal Cherifi received her PhD in Computer Sciences science from Corsica University, France, in 2011. She is currently working as an assistant professor at the DISP laboratory, University of Lyon 2, France. Her main research interests are focused on information systems agility and big data management with applications on enterprise information systems, smart cities, Industry 4.0, using complex networks, ontologies and Product Lifecycle Management (PLM) tools. Another topic of interest is the study of complex systems of various domains through the lens of complex networks (Web services, Humanitarian crisis logistics, Air transportation), as well as centrality measures. She acted as Committee member of international conferences (Complex networks, Complenet, PLM, DICTAP); Program committee of Complex networks, Marami, CompletNet, Complexis, ISCRAM-med, CSCESM, SITIS, ICIEIS; Journal referee for Hindawi, APNS, IJCIM, EPL, Scientific Reports – Nature. She participated in EU Erasmus-Plus (DigiHealth, EdenHub, SHYFTE) and Erasmus-Mundus (SmartLink, cLink) programs.

  • 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

  • George Chorafakis

    Senior Researcher at Centre of Planning and Economic Research

  • Daniela Cialfi

    Postdoctoral researcher at Università degli Studi G.d'Annunzio CHIETI-PESCARA, Department of Philosophical, Pedagogical and Economic-Quantitative Sciences

  • Giulio Cimini

    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).

  • Nicola Cinardi

    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.

  • Matteo Cinelli

    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.

  • Ruaridh Clark

    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.

  • Aaron Clauset

    at University of Colorado Boulder

    Aaron Clauset is an Associate Professor in the Department of Computer Science and the BioFrontiers Institute at the University of Colorado Boulder, and is External Faculty at the Santa Fe Institute, where he was also an Omidyar Fellow. He is an internationally recognized expert on network science, computational social science, and machine learning for complex systems. Clauset's research aims to identify fundamental principles of organization for complex social and biological systems, and how data and computation can be used to illuminate them. Much of this work is organized around two themes. The first theme focuses on how interactions at smaller scales within a system drive regularities and dynamics at larger scales, i.e., how simplicity arises from complexity. The second focuses on developing advanced computational methods that can automatically characterize large-scale regularities and either connect them with causal mechanisms at smaller scales or exploit them to make predictions. He explores these ideas in the context of complex networks, patterns in conflict and war, the social forces that shape scientific careers and discoveries, macroevolutionary dynamics, and the dynamics of cancer. He is also deeply interested in the epistemology of complex systems, and in the ways we can evaluate causal hypotheses and models when complex effects can have complex causes. In 2016, he was awarded the Erdos-Renyi Prize in Network Science for his foundational contributions to the field, which have transformed our understanding of the structure and diversity of real-world networks. He widely known for his seminal work on modeling the statistics of rare events in complex systems, and in particular for the analysis of power-law distributions in empirical data.

  • Pietro Coletti

    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.

  • Vittoria Colizza

    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.

  • Colm Connaughton

    Director at Centre for Complexity Science, University of Warwick

  • Juan C. Correa

    at Fundación Universitaria Konrad Lorenz

    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).

  • Wesley Cota

    PhD Student at Universidade Federal de Viçosa

    PhD student at Universidade Federal de Viçosa (Brazil), studying the spreading of epidemics on Complex Networks.

  • Roger Cremades

    Assistant Professor at Wageningen University & Research

    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 Geocience), and cities (Cremades and Sommer, 2019, GMD). Currently he is an Assistant Professor at Wageningen University and Research (the Netherlands). Before, Roger spent 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 PI 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 businesses 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.

  • Dries Daems

    at Middle East Technical University

    I am currently working as Assistant Professor at the Middle East Technical University in Ankara. From 2014 to 2018 I worked with the Sagalassos Archaeological Research Project through a PhD Fellowship by the Research Foundation Flanders (FWO). My PhD research focused on community formation and social complexity trajectories at Sagalassos and southwest Anatolia from the Iron Age to Hellenistic periods (9th to 1st centuries BCE). After my PhD, I worked as a postdoc at the AKMED Research Centre for Mediterranean Civilizations in Antalya, styding polis formation and social complexity trajectories in southwestern Anatolia in the Hellenistic period. My research interests include: Social complexity, Agent-based modeling, Social-ecological systems, Social resilience and sustainability, Adaptive cycles, Material culture and pottery, Community formation, Digital Humanities.

  • Adam Dalton

    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.

  • Phil Davies

    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.

  • Todd Davies

    Graduate Student in Politics and Technology at Technical University Munich

  • Simon DeDeo

    at Indiana University

    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.

  • Mark Dekker

    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.

  • Christophe Demichelis

    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

  • Nivedita Deo

    Professor at Department of Physics and Astrophysics, University of Delhi, Delhi 110007

    see http://www.du.ac.in/du/uploads/Faculty%20Profiles/Physics/Nivedita_Deo_Physics.pdf

  • Carl Dettmann

  • 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.

  • ALBERT DIAZ-GUILERA

    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.

  • Alvaro Diaz-Ruelas

    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 KCL 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, Member of the UCL Centre for Blockchain Technologies, Member of the Board of the Complex System Laboratory, Member of the Council and of the executive committee of the Complex Systems Society until 2021. She is Member of the Board of Directors of the Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”. She is Editor-in-Chief for the Journal Advances in Mathematical Physics, Main Editor of Physica A, Editor of the European Physical Journal B, Editor of the Artificial Intelligence in Finance journal and Guest Editor of several other volumes. She has been Editor-in-Chief for the Journal of Network Theory in Finance. She is Co-founder of the Econophysics Network. She has been consultant for the Financial Services Authority, several hedge funds and companies.

  • Dan-Gheorghe Dimitriu

    Associated Professor at Alexandru Ioan Cuza University of Iasi

  • 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

  • Sacha Epskamp

    Assistant Professor at University of Amsterdam

  • Tim Evans

    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.

  • Ling Feng

    Scientist at Institute of High Performance Computing, A*STAR

  • Laís Fernanda da Silva de Souza

    Master's Degree Student at Federal University of Paraná - Center for Research in Economics and Complexity (NeX)

  • Giovanna Ferraro

    Adjunt professor at Department of Enterprise Engineering - University of Rome Tor Vergata

  • Kelly Finn

    Neukom Fellow at Dartmouth College

  • Francesc Font-Clos

    Postdoctoral fellow at University of Milano

  • Helena Freire de Almeida

  • Toru Fujino

  • Maria Rita Fumagalli

    Post-doctoral Fellow at Institute of Biophysics CNR - CC&B University of Milan

  • Andrea Gabrielli

    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. I am also serving as Scientific Director of the "Enrico Fermi" Research Center of Rome (http://www.cref.it). 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.

  • Paola Galdi

    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.

  • Luca Gamberi

    PhD student at King's College London

  • 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

  • Carlos Gershenson

    Research Professor

    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 an affiliated researcher at the Center for Complexity Sciences at UNAM and coordinator of the Complexity Sciences National Laboratory. He was a Visiting Professor at MIT and at Northeastern University (2015-2016) and at ITMO University (2015-2019). 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 studied five semesters of Philosophy at UNAM (1998-2001). 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 150 scientific publications in books, journals, and conference proceedings, which have been cited more than 5500 times. He has supervised 12 postdocs, 3 PhD, 12 MSc, and 6 BSc students. He has given more than 300 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. He contributes with opinion pieces for the newspaper Reforma. He has received numerous awards, including a Google Research Award in Latin America and the Audi Urban Future Award. He is a member of the Mexican Academy of Sciences and the Mexican Academy of Informatics. He has worked in consulting, software and web development, teaching at undergraduate and graduate levels, and scientific divulgation and journalism.

  • Fakhteh Ghanbarnejad

    Postdoctoral researcher at Institut für Theoretische Physik, Technische Universität Berlin

  • Mohammad Ghoreishi

  • Sergio Gómez

    Associate Professor at Universitat Rovira i Virgili

  • Jesus Gomez-Gardenes

    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.

  • Bruno Gonçalves

    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).

  • Arturo González

    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.

  • Carlos Gracia-Lázaro

    Post-Doc at University of Zaragoza, Institute for Biocomputation and Physics of Complex Systems

    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.

  • Clara Gracio

    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.

  • Jelena Grujic

    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.

  • Furkan Gursoy

    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.

  • Mark Hand

    at University of Texas-Austin

    Hi! I'm a PhD student at UT-Austin.

  • Shlomo Havlin

  • Torsten Heinrich

    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.

  • Laura Hernandez

    Associate Professor (in French MCF-Cl Ex., 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.

  • Manuel Herrera

    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.

  • Jaroslav Hlinka

    Head of the Department at Institute of Computer Science, Czech Academy of Sciences

  • Moritz Hoferer

    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.

  • Mojtaba HOUBALLAH

    Ph.D studen at IRSTEA

    Ph.D student in complex system modelling

  • Aida Huerta-Barrientos

    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.

  • Iacopo Iacopini

    JSMF Postdoctoral Fellow at Central European University

    I am a physicist with a strong interest in applied sciences. My research deals with Complex Networks, Data Science and their application to the study and modeling of social and urban systems. I am a James S. McDonnell Foundation Postdoctoral Fellow at the Department of Network and Data Science, Central European University. Previously, I received my PhD from the School of Mathematical Sciences at Queen Mary University of London, where I worked within the Complex Systems and Networks Research Group under the supervision of Vito Latora. I also worked at the Centre de Physique Théorique of Aix-Marseille University, under the supervision of Alain Barrat, and at the Urban Dynamics Lab of the Centre for Advanced Spatial Analysis (CASA), UCL, under the supervision of Elsa Arcaute. I collaborated with the Dynamical Systems and Statistical Physics Group (QMUL) as part of the LoBaNet project. I spent part of my PhD at The Alan Turing Institute (London) as part of the enrichment doctoral scheme. Previously, I worked at the ISI Foundation in Turin within the Data Science and Mathematics & Foundation of Complex Systems groups. Before, I was Data Science Intern at UN Universal Postal Union in Bern.

  • Alejandro Ibáñez-Costa

    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

  • Gerardo Iñiguez

    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

  • Antonio Iovanella

    at Department of Enterprise Engineering, University of Rome Tor Vergata

  • Akira Ishii

    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).

  • Klaus Jaffe

    Emeritus Prof at Universidad Simon Bolivar

    Senior researcher in evolution of societies and bioeconomics

  • Sarika Jalan

    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 Ph.D. from Physical Research Laboratory in Physics with a specialization in Nonlinear dynamics and complex systems. After research 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. She has fundamental contributions to mechanisms of cluster formation, chimera, and explosive synchronization in multilayer networks. Sarika has published more than 90 peer-reviewed journal articles. Currently, Sarika is Editor-in-Chief of the Journal of Complexity Science(JOCS). She is an editorial board member of Chaos Solitons Fractals, Scientific Reports, and Advisory Editor of Chaos: An interdisciplinary journal of nonlinear science. She is also a member of the 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. https://scholar.google.co.in/citations?user=vlEHYwYAAAAJ&hl=en

  • Marco Javarone

    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"

  • Arkadiusz Jędrzejewski

    Physicist at Wrocław University of Science and Technology

  • Henrik Jeldtoft Jensen

    Professor at Imperial College London

  • Sabine Jeschonnek

    at The Ohio State University at Lima

  • Hang-Hyun Jo

    at The Catholic University of Korea

    Hang-Hyun Jo is currently an Assistant Professor in Department of Physics, The Catholic University of Korea. He received his MSc (2001) and PhD (2006) in Statistical Physics at Korea Advanced Institute of Science and Technology. He has previously been a Research Fellow at Korea institute for Advanced Study, a Postdoctoral Researcher at Aalto university in Finland, a Research Assistant Professor at Pohang University of Science and Technology in Republic of Korea, and a Junior Research Group Leader/Assistant Professor at Asia Pacific Center for Theoretical Physics in Republic of Korea. He was awarded Yong-Bong Prize by The Korean Physical Society in 2017 as his achievements in statistical physics were recognized. His research interests cover various topics in statistical physics, complex systems, and computational social science, including complex networks and bursty time series analysis.

  • Jeffrey Johnson

    Professor of Complexity Science and Design at Open University

  • Bertrand Jouve

    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).

  • Sneha Kachhara

    Research Scholar at Indian Institute of Science Education and Research Tirupati

    An engineer by training, I finished my master's in Nanotechnology and bachelor's in Converging Technologies from the University of Rajasthan, India. Since then, I have been gravitating towards Physics. I'm currently a doctoral candidate at IISER Tirupati, India. My research interests include complex systems, dynamical systems theory, nonlinear time series analysis, and complex networks. I have some experience with data analysis in astronomy and physiology as well as synthetic data generated from nonlinear system models.

  • Kyriaki Kalimeri

    at ISI Foundation

  • Kushal Kanwar

    PhD Student at Panjab University

    B.Tech.(Information Technology), M.E.(CSE), PhD (Pursuing)

  • Fariba Karimi

    Post Doctoral

    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.

  • Márton Karsai

    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.

  • Mari Kawakatsu

  • Janos Kertesz

    Professor

  • Mikko Kivelä

  • Brennan Klein

    postdoctoral researcher at Northeastern University Network Science Institute

  • Florian Klimm

    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.

  • Anna Krakovska

    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

  • Malgorzata Krawczyk

    at AGH University of Science and Technology

  • Christian Kuehn

    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

  • Rakesh Kumar

    Research Scholar at Indian Institute of Technology (Banaras Hindu University), Varanasi-221005, India

  • Lucas Lacasa

    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.

  • José Lages

    Associate professor at Université de Bourgogne Franche-Comté

  • Chandrajit Lahiri

    Associate Professor at Sunway University

  • Renaud Lambiotte

    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.

  • Nicholas Landry

    PhD Student at University of Colorado Boulder

    I'm Nicholas Landry and I'm a 4th year PhD student in Applied Math at the University of Colorado Boulder. I study higher-order interactions and how the structure of these interactions affects dynamical behavior. In particular, I study opinion/epidemic models on hypergraphs, but honestly, I get pretty excited about almost anything network related. I worked as a mechanical engineer in manufacturing for a few years prior to going back to school. I just got my Master's but still working on a PhD!

  • Francesca Larosa

    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.

  • Wilmer Leal

    PhD Student at Leipzig University

  • Philip Leifeld

    Professor at University of Essex

    Professor Philip Leifeld holds the Chair of Comparative Politics in the Department of Government at the University of Essex. Previously he held the Chair of Research Methods in the School of Social and Political Sciences at the University of Glasgow. His research interests focus on political networks, policy debates as complex systems, and network science methods. His teaching cover graduate-level statistics for the social sciences, including maximum likelihood and principles of research design.

  • 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.

  • Eufemia Lella

    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.

  • Stefanos Leonardos

    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.

  • Ruiqi LI

    at Beijing University of Chemical University

  • Francesca Lipari

    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.

  • Giacomo Livan

    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).

  • Angela Lombardi

    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/

  • Vittorio Loreto

    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.

  • Juniper Lovato

    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.

  • Lorenzo Lucchini

    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).

  • Andrea Luppi

    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.

  • Mariana Macedo

    PhD Candidate at University of Exeter

    I am a PhD Student in Socio-Spatio-Temporal Classification of Human Mobility Patterns at the University of Exeter. I am interested in Human Dynamics, Gender, Race & Socioeconomic Inequalities, Data-Driven applications, Complex Systems, Urban Systems, Optimization, Swarm Intelligence, Evolutionary Computation and Multi-many objective frameworks. I was born in Brasília, Brazil, in 1992. I received the B.Sc. and M.Sc degree in Computer Engineering from the University of Pernambuco in 2016 and 2017, respectively. I studied one extra year at Pace University as a non-degree international student sponsored by Brazil Scientific Mobility Program Fully-Funded Scholarship Recipient in 2015.

  • Krzysztof Malarz

    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 80 papers. Currently deputy dean and associate professor at Faculty of Physics and Applied Computer Science AGH-UST and senior editor of “Open Physics”. Member of Polish Physical Society, European Physical Society, Complex Systems Society. For detailed information please visit https://orcid.org/0000-0001-9980-0363.

  • Santosh Manicka

    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.

  • Rosario Mantegna

    at University of Palermo

    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.

  • Ignacio Martinez-Moyano

    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 2020. 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.

  • Emanuele Massaro

    at EPFL

    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.

  • Rossana Mastrandrea

    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.

  • Jose Mateos

    Professor

    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.

  • Alexey Medvedev

    Post-doc at Université catholique de Louvain

    I am a Postdoctoral Researcher at Université catholique de Louvain, in Belgium. My research interest lies in the field of network science, particularly stochastic dynamics on networks. Born in the heart of Siberia, I studied hardcore math in extreme weather conditions. One day I thought I should do something with it and got a PhD position at Central European University in sunny Budapest. There I studied spreading models on networks from both mathematical and empirical perspectives. Simultaneously I carried out research in pure graph theory as a second PhD project. After PhD I found my passion in studying online social networks and working with large-scale datasets of real world data in Belgium. Currently I have a project related to comprehensive study of online discussion forums, one examples of which is Reddit (you might have heard this name). Within this framework I continue my journey and explore new models and methods in complex systems.

  • José Fernando Mendes

    Professor at Physics department

  • Czeslaw Mesjasz

    Associate Professor at Cracow University of Economics

  • Joel Miller

    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.

  • Giovanni Modanese

    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

  • Baptiste MOKAS

    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.

  • Dan Mønster

    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.

  • Alfredo Morales

    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.

  • Matteo Morini

    at University of Turin

  • Esteban Moro

    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).

  • Cliff moser

    at stanford healthcare

    Healthcare architect, working for Stanford Healthcare at Stanford University. Complexity Science PhD student at ISCTE

  • Adilson Motter

    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.

  • Riccardo Muolo

    PhD Student at Department of Mathematics, Université de Namur (Belgium)

    I obtained a BSc in Physics and a MSc in Applied Mathematics, both from Università di Firenze (Italy). My Master thesis work was in Complex Systems and it was carried out at naXys, the Namur Institute for Complex System (Belgium). I worked one year in Systems Biology as an Early Stage Researcher (VU Amsterdam) and then started a PhD in Applied Mathematics at naXys, Université de Namur (Belgium), that is my actual position. I study dynamical systems on networks, in particular patterns obtained by destabilizing a homogeneous stable state (a fixed point or a limit cycle), i.e., a generalization of Turing's mechanism. I am mainly interested in how the network topology (e.g., non-normal networks) affects such processes. I enjoy collaborating with people of different backgrounds and working in interdisciplinary projects. My research is mostly theoretical and numerical, but I aim to apply my results in biology and neuroscience in the last part of my PhD.

  • Chrystopher Nehaniv

    at University of Waterloo

    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)

  • Kerry Nice

    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.

  • Vincenzo Nicosia

    Lecturer at School of Mathematical Sciences, Queen Mary University of London

    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

  • Joseph O Brien

    PhD Student at University of Limerick

  • Géza Ódor

    Scientific Advisor, Head of Department at Centre for Energy Research, Inst. of Technical Physics and Materials Science

  • Eckehard Olbrich

    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)

  • Gabriele Oliva

    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.

  • Elisa Omodei

    at Central European University

    Elisa Omodei is an Assistant Professor at the Department of Network and Data Science of the Central European University in Vienna. She also serves as Vice-President Secretary of the Complex Systems Society. She holds a BSc and a MSc in Physics from the University of Padua and Bologna, respectively, and a PhD in Applied Mathematics for the Social Sciences from the École Normale Supérieure (ENS) of Paris. She carried out her postdoctoral training at the Rovira and Virgili University in Tarragona, Spain. She then spent over four years at the United Nations, first at UNICEF's Office of Innovation in New York and then at the UN World Food Programme in Rome. She is passionate about technological innovation for social good, exploring how to apply complexity science, data science and AI for sustainable development and humanitarian response.

  • Osman Ortega Parada

    at Universidad de Pamplona

  • Miguel Angel Ospina Usaquen

    Phd student at Engineering at Universidad Distrital Francisco José de Caldas

    Industrial Engineer, with specialization studies in production and logistics engineering, MBA, PMP - Project Management Professional and KM - Knowledge Manager and Consultant in Incubation and Business acceleration. I am currently studying for a PhD. Academic and professional interests in the modeling of complex organizational systems, in the incorporation and implementation of digital transformation and in the adoption of modern tools of organizational management in business processes. My current research interests focus on the application of free-scale network models in the measurement of knowledge management in universities.

  • Leonardo Pacciani-Mori

    Postdoctoral researcher at University of California, San Diego

  • Milan Palus

    senior researcher at Institute of Computer Science, Czech Academy of Sciences

  • Evelyn Panagakou

    Education, Outreach, and Diversity Coordinator at Network Science Institute, Northeastern University

    My name is Evelyn (Evangelia) Panagakou and I am the Education, Outreach, and Diversity Coordinator at the Network Science Institute, Northeastern University. I hold a PhD in Physics, an M.S. in Applied Mathematics, and an M.S. in Applied Developmental and Educational Psychology. I am a former member of MOBS lab, founding member of the Young Researchers Network on Complex Systems (currently yrCSS), and helped bootstrap the Society of Young Network Scientists (SYNS). Since 2018, I have been one of the organizers of the Network Science and Education Satellite at NetSci.

  • Marco Pangallo

  • Maria Pantelidou

    PhD Student at Universidad Rovira i Virgili

  • Luca Pappalardo

    Postdoc at CNR

  • Jaehyuk Park

  • Valdirene Pascoal

    Undergraduate student of Philosophy at UNESP - São Paulo State University - Faculty of Philosophy and Science

  • Muhammad Qasim Pasta

    Assistant Professor at Usman Institute of Technology

  • Nicola Pedreschi

    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.

  • Tiago Peixoto

    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.

  • Josep Perelló

    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).

  • Nicola Perra

    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.

  • Giovanni Petri

    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).

  • Alessandro Pluchino

    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.

  • Chiara Poletto

    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.

  • Federico Polito

    Associate Professor at Mathematics Department "G. Peano" - University of Torino

  • Adarsh Prabhakaran

    at The University of Edinburgh

  • Marialaura Previti

    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.

  • Andreas Psimopoulos

    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

  • Denise Pumain

    Professor at Université PARIS 1

  • Rick Quax

    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.

  • Bernard QUERLEUX

    Senior expert

    Senior expert at L'Oréal Research & Innovation President of the International Society for Biophysics and Imaging of the Skin (ISBS)

  • Or Rabani

    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.

  • Tomasz Raducha

    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.

  • Stephany Rajeh

  • Amanah Ramadiah

    PhD student at University College London, Dept. Computer Science

  • Jose Ramasco

    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.

  • Lucía Ramirez

    at IFISC, Institute for Cross-Disciplinary Physics and Complex Systems (UIB-CSIC)

  • Juan Manuel Eugenio Ramirez de Arellano Niño Rincon

    at Tecnologico de Monterrey

  • Andrea Rapisarda

    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.

  • Xiaolong Ren

    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.

  • Valerio Restocchi

    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

  • Bernard Ricca

    Research Associate Professor (Statistics) at University of Colorado Colorado Springs

  • Juan Rocha

    Researcher at Stockholm University

    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.

  • Luis Rocha

    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.

  • Emanuelly Rodrigues

    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.

  • Daniele Romanini

    Research Assistant at Aalto University

  • Iza Romanowska

    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.

  • Fernando Rosas

    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.

  • Liudmila Rozanova

    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).

  • Celine Rozenblat

    Prof.

    "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."

  • Sarah Russell

  • Marta Sales-Pardo

    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.

  • Maxi San Miguel

    Prof. at Universitat Illes Balears

  • Andrea Santoro

    Postdoctoral Researcher at EPFL

  • Fabio Saracco

    at IAC (Institute for Applied Mathematics), CNR

    Fabio Saracco is Senior Researchers at the IAC (Institute for Applied Mathematics), CNR, Rome, and Guest Scholarat 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.

  • Hiroki Sayama

    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.

  • Antonio Scala

    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.

  • silvia scarpetta

    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

  • Silvia scarpetta

  • Samuel Scarpino

    Assistant Professor at Northeastern University; Santa Fe Institute; Vermont Complex Systems Center

    Samuel V. Scarpino, PhD is an Assistant Professor in the Network Science Institute at Northeastern University and holds academic appointments in Marine & Environmental Sciences, Physics, the Khoury College of Computer Sciences, the Global Resilience Institute, and the Roux Institute for graduate education and research in AI. At Northeastern University, he directs the Emergent Epidemics Lab and is a Co-founder of Global.health. Scarpino has 10+ years of experience translating research into decision support and data science/AI tools across diverse sectors from public health and clinical medicine to real estate and energy. From 2017 to 2020, he was Chief Strategy Officer and head of data science at Dharma Platform, a social impact, technology startup. For his contributions to complex systems science, he was made a Fellow of the ISI Foundation in 2017, an External Faculty member of the Santa Fe Institute in 2020, and an External Faculty member of the Vermont Complex Systems Center in 2021. Scarpino’s research spans a broad range of topics in complex systems and network science, including: forecasting and predictive modeling, complex network analysis, epidemiology, genomics and transcriptomics, social networks, and decision making under uncertainty. Outside academia, he is a member of the World Economic Forum’s Expert Network, is a strategic advisor to technology startups, governments, and biotechnology companies, and is a co-inventor on a patented machine learning algorithm for analyzing geospatial data and a patent-pending machine learning algorithm for inferring the relational structure of data. Scarpino has given over 100 keynote, invited, and professional presentations at international conferences, has published peer-reviewed articles in Science, Nature Medicine, PNAS, Nature Physics, Emerging Infectious Diseases, Clinical Infectious Diseases, and numerous other academic journals, is co-editor on the definitive academic text on whooping cough published by Oxford University Press, and is a Deputy Editor at PLoS Neglected Tropical Diseases. Scarpino’s expert commentaries on science and technology have appeared in publications such as: Nature, Science, PNAS, and Nature Physics. His research on COVID-19, Ebola, whooping cough, and influenza has been covered by the New York Times, Wired, the Boston Globe, NPR, VICE News, National Geographic, and numerous other local, national, and international venues. Scarpino earned a PhD from The University of Texas at Austin in 2013 and was a Santa Fe Institute Omidyar Fellow from 2013 - 2016.

  • Rossano Schifanella

    Assistant Professor at University of Turin

  • Luis F Seoane

    Postdoc Fellow at IFISC

  • Niloofar Shadab

    Graduate Research Assistant at Virginia Tech

    I'm a Ph.D. student in Systems Engineering at Virginia Tech doing my research in the theory of Systems Engineering and System Science. I also worked for about 2 years in the Aviation Industry as a Systems Engineer working on real-world problems. My main research was on the impact of weather-related events on the US and international air traffic management and the risk mitigation of negative consequences of such events. I worked with several organizations such as NASA, FAA, American Airlines among others. ​ With a great understanding of both industry as well as academia, I cherish the true value of doing research that benefits the world in both application and theory. I want to tackle one of the biggest challenges of our time which is the insufficiency of reductionist methods in scientific and engineering efforts by leveraging different methods and theories such as Systems Theory, Probability Theory, Complexity Theory, Set Theory, Data Analysis, Risk Analysis as well as Network Science.

  • Kiran Sharma

    Senior Research Fellow at Jawaharlal Nehru University

  • Cynthia Siew

    Assistant Professor at National University of Singapore

  • Roberta Sinatra

    at IT University of Copenhagen

    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.

  • Chakresh Singh

    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.

  • Bohdan Slavko

    PhD student at The University of Sydney

    PhD student at The University of Sydney

  • Michael Small

  • Sandro Sousa

    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.

  • Tiziano Squartini

    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.

  • Massimo Stella

    Lecturer in Data Science at University of Exeter, UK

    I have a permanent lectureship in Data Science at the University of Exeter, UK (equivalent to assistant professorship in the US system). I am also an Alumnus of the Santa Fe Institute, I served in the CSS Council between 2016 and 2019 and I promoted the Winter Workshop on Complex Systems series as part of the Steering Committee. I am currently in the NetSciEd committee and also manage a consulting business in data science, Complex Science Consulting. My background is in mathematical physics but my current research focuses on cognitive data science and multilayer networks, i.e. checking how conceptual associations in language can predict or describe human behaviour, cognitive development, online stances and clinical impairments. I have also worked a bit on the statistical physics of networks and pathogen spreading in spatial networks. I have a knack for outreach activities, I contributed to the Complexity Explained booklet and to the Complex Forma Mentis project in high schools. I am always up for interesting collaborations on language, cognition and multilayer networks.

  • Veronika Stolbova

    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.

  • Samir Suweis

    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.

  • Trevor Swanson

    Graduate Researcher at University of Kansas

  • Kazuhiro Takemoto

    at Kyushu Institute of Technology

  • Szymon Talaga

    PhD student at The Robert Zajonc Institute for Social Studies

    https://www.linkedin.com/in/stalaga/

  • Andreia Sofia Teixeira

    Assistant Professor at Faculdade de Ciências da Universidade de Lisboa

    I have a PhD (July, 2019) in Information Systems and Computer Engineering from the Department of Computer Science and Engineering of Instituto Superior Técnico (IST), Universidade de Lisboa (Portugal). Presently, I am an Assistant Professor in the Department of Informatics at the Faculty of Sciences, University of Lisbon. I am also a member of the Executive Committee of the Network Science Society, a member of the council of the Complex Systems Society, the General Secretary of the Women in Network Science Society and the former Chair of the advisory board of yrCSS. Previously I was a Research Scientist at Hospital da Luz Learning Health, and a Collaborator at INESC-ID. Between August 2019 and December 2020 I was a Postdoctoral Researcher at Indiana University Bloomington, and a Fellow at IU Network Science Institute (IUNI), Indiana, United States. Between 2013 – 2018 I was a teaching assistant at the Department of Computer Science and Engineering of Instituto Superior Técnico.

  • Ana Teixeira de Melo

    Researcher at Centre for Social Studies- University of Coimbra

    Ana Teixeira de Melo is researcher at the Centre for Social Studies, University of Coimbra. She was awarded a PhD in Clinical Psychology, by the University of Coimbra, and the title of Specialist in Clinical Psychology, with Advanced Specialty in Community Psychology, by the Portuguese Order of Psychologists. Her main research focus is on processes of human flourishing and well-being, positive change and development and resilience, in Families and Communities, especially targeting contexts of multiple risks and challenges and of child protection and promotion. She adopts a Systems and Complexity-Informed approach to the study of Family Processes. She investigates Love (Love-Force) as an emergent relational force, from a complex systems perspective and its role as a key human resilience and flourishing process. She has conducted action-based and applied research focused on the development, implementation and evaluation of models, resources and tools for family assessment and intervention. She is interested in the field of Complexity studies from a theoretical, methodological and applied point of view, in relation to processes of change in complex systems. Her research aims at the development and evaluation of theoretical models, resources and strategies for the practice of 'Complex Thinking' applied to the management of change in complex systems, particularly social human systems, in the coupling with their environments. She explores the implications of a Complexity paradigm to understanding human experiences and managing individual and collective modes of Relating and our understanding of the nature of relations in constructing transformative realities. Additionally, she adopts a process, relational and complexity-informed perspective in her research on themes related to Interdisciplinary Methodologies and Methods and Inter/Transdisciplinarity processes, in relation to creativity and abductive modes of knowing. She is interested in themes of Philosophy of Sciences (e.g. Epistemologies). She is an elected member of the Executive Committee (2020-2023) and of the Council (2019-2022) of the Complex Systems Society, Academic Editor of the journal Complexity (from 2021) and Associate, since 2016, of the York Cross-Disciplinary Centre for Systems Analysis, where she was a visiting academic (2016-2018). Other websites: https://www.researchgate.net/profile/Ana_Teixeira_De_Melo E-mail: anamelopsi@gmail.com

  • Santa Elena Tellez Flores

    PHD Student

  • Marijn ten Thij

  • Michele Tizzoni

    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.

  • Constantino Tsallis

    Professor

  • NEFELI TSIGKRI

    PHD STUDENT at Institute of Nanoscience & Nanotechnology, NCSR "Demokritos"

  • Naotsugu Tsuchiya

    at Monash Univeristy

    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.

  • Elpida Tzafestas

    Associate Professor at University of Athens, Dept. of History and Philosophy of Science

  • Marios Valavanides

    Associate Professor at University of W. Attica

  • Eugenio Valdano

    researcher at INSERM, Sorbonne Université

    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

  • 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

  • Thomas Varley

    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

  • Carlos J. Vega

    PhD student at CINVESTAV-IPN Unidad Guadalajara

  • Julian Vicens

  • Aymeric Vie

    at University of Oxford

  • Irena Vodenska

    Irena Vodenska is a professor of finance and director of finance programs at Boston University’s Metropolitan College. Her research focuses on network theory and complexity science in macroeconomics. She conducts theoretical and applied interdisciplinary research using quantitative approaches for modeling interdependencies of financial networks, banking system dynamics, and global financial crises. Vodenska’s research focuses on modeling early warning indicators and systemic risk propagation throughout interconnected financial and economic networks. She also studies the effects of news announcements on financial markets, corporations, financial institutions, and related global economic systems. She uses neural networks and deep learning methodologies for natural language processing to text mine important factors affecting corporate performance and global economic trends. Prof. Vodenska teaches Investment Analysis and Portfolio Management, International Finance and Trade, Financial Regulation and Ethics, and Derivatives Securities and Markets at Boston University. Vodenska holds a Ph.D. in Econophysics (Statistical Finance) from Boston University, an MBA from Owen Graduate School of Management at Vanderbilt University, and a BS in Computer Information Systems from the University of Belgrade. She is also a Chartered Financial Analyst (CFA) charter holder. As a principal investigator (PI) for Boston University, she has won interdisciplinary research grants awarded by the European Commission (EU), Network Science Division of the US Army Research Office, and the National Science Foundation (US).

  • Elizabeth von Briesen

    PhD Student at UNC Charlotte

  • Sara Walker

    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.

  • Lin Wang

    Research Associate at University of Cambridge

    Dr. Lin Wang is a Research Associate in the Department of Genetics, University of Cambridge. Before joining Cambridge, he was a chargé de recherché in the Mathematical Modelling of Infectious Disease Unit at the Institute Pasteur, and a postdoctoral fellow in the WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, the University of Hong Kong. He has a PhD in Electronic Engineering from Fudan University, MSc and BSc in Physics from Nankai University and Southeast University, respectively. His research interests include infectious disease epidemiology, mathematical modeling, Bayesian statistics, machine learning, serology, immunology, and viral evolution, with applications to arbovirus (e.g. dengue) and emerging diseases (e.g., pandemic influenza, SARS-CoV-2). He serves as an editorial board member of BMC Infectious Diseases and BMC Medicine.

  • Xiaoyu Wang

  • Karoline Wiesner

    Professor of Complexity Science at University of Potsdam

    Professor of Complexity Science, Institute of Physics and Astronomy, Potsdam University, Germany. External faculty at the Vienna Complexity Hub and the Centre for Philosophy of Science at the University of Bristol. – PhD: Physics, Uppsala University (2004). Postdoctoral Fellow: Santa Fe Institute and University of California Davis; (2004-2007). Assistant / Associate Professor of Complexity Sciences, University of Bristol (2007 - 2021). Co-Director of the Centre for Complexity Science at the University of Bristol (2007 - 2018). – I have over forty peer-reviewed publications in the areas of complexity science, applied information theory, quantum information theory, climate dynamics, social dynamics, and molecular physics, with over 1800 citations, and one book (with Yale University Press). My grant income as PI and co-PI is over 4M €. – Research: I develop information theoretic tools for complex systems, ranging from physics to social science. In addition, I have published on the philosophical foundations of complexity. Current topics are: philosophical and mathematical foundations of complexity, information theoretic analysis of networks, complexity and climate change, stability of democracy.

  • Mateusz Wilinski

    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).

  • Florian Wodlei

    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.

  • Sarah Wolf

    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.

  • 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

  • Mario Yanez

    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.

  • Taha Yasseri

    Associate Professor at University College Dublin

    Taha Yasseri is an Associate Professor at the School of Sociology and a Geary Fellow at the Geary Institute for Public Policy at University College Dublin, Ireland. Formerly, he was a Senior Research Fellow in Computational Social Science at the University of Oxford, a Turing Fellow at the Alan Turing Institute for Data Science and Artificial Intelligence, and a Research Fellow in Humanities and Social Sciences at Wolfson College. Taha Yasseri has a PhD in Complex Systems Physics from the University of Göttingen, Germany. He has interests in analysis of large-scale transactional data and conducting behavioural experiments to understand human dynamics, machines’ social behaviour, government-society interactions, online political behaviour, mass collaboration and collective intelligence, information and opinion dynamics, hate speech and content moderation, collective behaviour, and online dating.

  • Philip York

    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.

  • Stefano Zapperi

    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.

  • Xiuxiu Zhan

    at Delft University of Technology

  • Yimin Zhou

  • Asim Zia

    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).

  • Antoine Ziller

    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.

  • Andreas Paul Zischg

    Assistant professor at University of Bern

    Geographer, interested in spatial complexity. Working on flood risks and climate change adaptation. Passionate for model coupling (rainfall-hydrology-inundation-flood impacts-adaptation) and societal responses to natural hazards

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