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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.

  • Babu Adhimoolam

    at University of Illinois Urbana Champaign

  • Adrián Aguirre Tamaral

    Postdoctoral researcher at Centro de Astrobiología (INTA-CSIC)

    My career as a researcher began with my degree in Physics at the Universidad Autónoma de Madrid in 2013. Subsequently, I specialized in biophysics through a master's degree, whose thesis was a research project, focused on the mathematical study of animal behavior, at the Cajal Institute (CSIC) in collaboration with Yale University (USA). After my master's thesis, I was invited to develop a research stay at the Yale University School of Medicine to deepen my master project line. Since then, my career has been consolidated around the biophysical modeling of different biological processes. In particular, my doctoral thesis focused on the study and modeling (at experimental and mathematical level) of cell signaling during embryonic development. During my PhD thesis at CBMSO, I collaborated with different international groups at the University of St Andrews (Scotland) and at the Biozentrum (Switzerland). In addition, I did a research stay at the ETH Zürich in the D-BSSE department (Basel, Switzerland). I obtained my PhD with Cum Laude mention on 2020. Afterwards, I have collaborated with different biophysical research lines at the University of Granada. Currently, I work at the Centro de Astrobiología (INTA-CSIC) as a postdoctoral researcher through the María de Maeztu Unit of Excellence program. My work focuses on the study and modeling of different biological systems and processes. My current research line is a complexity approach to the origin of life, in particular the study of the first RNA replication on the early Earth conditions. My expertise includes theoretical and experimental skills such as: i) In silico modeling using mathematical and physical tools (e.g. complex systems), ii) Computational methods and software development, iii) Biochemical experiments in Drosophila tissues, using different genetic tools (e.g. UAS-Gal4) and molecular techniques (e.g. fluorescence immunohistochemistry) and iv) Confocal microscopy and quantitative image analysis.

  • 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/

  • Panos Argyrakis

    Professor at Aristotle University of Thessaloniki

  • Oriol Artime

    at Fondazione Bruno Kessler

  • Shazia Ayn Babul

  • Iva Bacic

    Postdoctoral researcher at Central European University

    I am a postdoc at the Department of Network and Data Science at Central European University in Budapest. I did my PhD in nonlinear dynamics, where I studied the influence of noise on coupled excitable systems at the Institute of Physics in Belgrade, Serbia. At some point I stumbled upon ordering dynamics on networks and got really curious about all this network stuff. After participating in CSH’s Complex Systems Winter School in 2019, I had absolutely fallen in love with this field, and I decided I must switch after my PhD! This endeavor was successful, and I am currently studying physical networks in the group of Albert-Laszlo Barabasi. We are expanding the frontiers of network science: the links and nodes in our network models, instead of being abstract connections, have thickness and volume, just as they do in many real-world networks. Our goal is to understand how physicality affects the structure, functionality and evolution of networks.

  • Rodolfo Baggio

    at Bocconi University

    Rodolfo Baggio has a degree in Physics and a PhD in Tourism Management. After working for more than twenty years as a computer scientist, he dedicated himself to teaching, in Italy and abroad, and to research on complex tourism systems and their relationships with information technologies. On these topics he has published half a dozen books and about a hundred papers for international scientific conferences and journals. He currently teaches digital strategies at the Master in Economics and Tourism and is Research Fellow at the "Carlo F. Dondena" Center for Research on Social Dynamics and Public Policies at Bocconi University in Milan. For his contributions he received in 2017 the Hannes Werthner Lifetime Achievement Award from IFITT (International Federation for Information Technology and Travel & Tourism). He is fellow of the Royal Geographical Society, member of the Italian Physical Society and has been founding member of the Italian chapter of the Internet Society.

  • Bryce Bagley

    Physician-Scientist Training Program student at Stanford University

    I am an MD candidate in the Stanford University School of Medicine, with clinical interests centered on neurological medicine. My research interests are broadly in the development and use of quantitative techniques for solving problems in medicine and basic bioscience, especially in the areas of mathematical modeling, algorithms, machine learning, and computational methods. My current work is using the above to study the systems-level physiology of brain tumors and epilepsy. In grad school my research was on machine learning for medical imaging, and applying tools of theoretical physics to problems in eco-evolutionary dynamics. Prior to that I mainly worked on computational neuroscience, with brief stints in macromolecule physics and materials physics for quantum computing. I have an MS in Theoretical Biophysics from Stanford, and graduated from the dual degree program at Washington University in St. Louis in 2018 with B.S. degrees respectively in Physics (with a biophysics concentration), Systems Science & Engineering, and Computer Science.

  • Alain Barrat

    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.

  • 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

    Assiociate Professor at Central European University

    Associate Professor at the Department of Network and Data Science at Central European University in Vienna. 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 was an elected member of the council of the Complex Systems Society (October 2015 - September 2021), 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): Assistant Professor and 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.

  • Ahmed ElAmine BEKHELIFI

    Enseignant chercheur at Université des sciences et de technologie d'Oran

    Iam a teacher-researcher at the Department of Architecture, "Université des sciences et de technologie d'Oran". My research deals with the application of complex systems theory in urban morphogenesis : the case of traditional islamic settelements.

  • 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).

  • Cyrille Bertelle

    Professor at Université Le Havre Normandie

    Cyrille Bertelle is full professor of computer science at LITIS, FR-CNRS 3638 at Normandie Univ - Université Le Havre Normandie, France. He is also director of the federative research structure in Logistics in Normandy, SFLog. He chairs the GIS Institut pour une logistique intelligente en Vallée de Seine. He is co-coordinator of the international network UniTwin CS-DC (Complex System Digital Campus) labelled by UNESCO. His research topics are modelling and simulation of complex systems, complex networks for territorial intelligence and logistics systems and blockchains for smart ports. He has published more than 250 scientific contributions including 7 books, 14 publications of proceedings or special issues in journals, 24 book chapters, 48 articles in scientific journals and more than 150 communications in conferences.

  • Maria Letizia Bertotti


    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.

  • 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

    Lecturer in data science at Department of Computer Science, University of Exeeter

    I am a Lecturer in data science in the department of computer science at the University of Exeter, and I am also a fellow at the Alan Turing Insitute, the UK national institute for data science and AI My research aims to provide a deeper understanding of human behaviour, both at the collective and individual level, and society, by using novel data streams. Large data sets are constantly being generated thanks to our interactions with large technological systems, such as the Internet and the mobile phone network, or they can be collected through our usage of smart phone apps and tracking sensors. I use tools from data science, network theory, behavioural and computational social sciences to analyse these data sets and investigate different aspects of human behaviour. Areas of Interest: Structure of real-world networks, urban analytics, data science, computational social sciences, mathematical modelling of real-world systems, data science for public policy.

  • 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

    Assistant Professor at University of Zurich

    I am a researcher interested in complex systems and in their modelling using complex networks. I am interested in interdisciplinary approaches to answering social and economic questions using tools from physics and data science. In particular, I am interested in 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 an Assistant Professor of Quantitative Network Science at the Department of Mathematics and a member of the Digital Society Initiative at the University of Zurich. Before that, I was 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. I also held the position of 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.

  • Matteo Bruno

    Associate researcher at Sony

  • Iulia Martina Bulai

    Tenure track assistant professor at University of Sassari

    I am a mathematician and I have a tenure track assistant professor at the University of Sassari. I was a Research Fellow at the University of Basilicata for two years and half and I did a Post Doc at the University of Padova under the supervision of Prof. MG Pedersen, since March 2017 until June 2019. I have completed my PhD in mathematics at the University of Torino in February 2017, under the supervision of Prof. E Venturino. 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.

  • Javier M. Buldú

    Professor at King Juan Carlos University

    Javier M. Buldú (Electrical Engineer and PhD in Applied Physics) is full Professor at the Rey Juan Carlos University (Madrid, Spain), where he coordinates the Complex Systems Group. JMB is also the Principal Investigator of the Laboratory of Biological Networks at the Center for Biomedical Technology (Madrid, Spain). He has also been academic visitor at the Center for Astrobiology (Torrejon de Ardoz, Spain) and the Mathematical Institute of the University of Oxford (U.K.). JMB is an expert on the analysis of the dynamics of nonlinear systems and the understanding of how complex systems organize, adapt and evolve, with applications to a diversity of social and biological problems. On the one hand, he has carried out studies on network structure and vulnerability, analyzing social and biological systems. On the other hand, he has published several relevant articles on network synchronization and the evaluation of the interplay between dynamics and structure in networks of coupled dynamical systems, with specific applications on neuroscience. During the last years he has focused on Network Neuroscience, a field of computational neuroscience whose methodological tools come from graph theory, nonlinear dynamics, statistical physics, Big Data and neuroscience. At the same time, he has also significantly contributed to the application of Complexity Sciences to Sports. Altogether, he has published more than 100 peer-reviewed publications (WoK), including papers in high impact journals such as Nature Physics, Nature Communications, Proceedings of the National Academy of Science USA, or Physical Review Letters.

  • Guido Caldarelli

    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. Now I am happily in Ca' Foscari University in Venice. 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 had 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 several videos for YouTube. My research interests cover the intersection of complex systems, computational social science, data science, cultural evolution, cultural sociology, and information theory. In summary, I develop new computational methods to study the evolution of information.

  • Carlo Campajola

    Postdoctoral researcher at University of Zurich

    I'm currently a postdoc at the Blockchain and Distributed Ledger Technologies Group of the University of Zurich, led by Prof. Claudio J. Tessone, and a Member of the UZH Blockchain Center. My current research focuses on the analysis of cryptocurrencies from a complex systems perspective, with particular attention to the characterization of individual properties of economic agents which affect the collective functioning of the system. Specific topics include analysis of transaction networks, modelling of the velocity of tokens, statistical methods for blockchain deanonymization and fraud detection, and financial properties of crypto assets. I am also interested in statistical physics models and their applications to the analysis of complex systems. During my PhD years at the Scuola Normale Superiore in Pisa I worked with Prof. Fabrizio Lillo and Prof. Daniele Tantari on applications and extensions of the Kinetic Ising Model for time series analysis, with applications to finance, neuroscience and temporal networks.

  • 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

  • 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.

  • Christos Charalambous

    PostDoc at Instituto de Fisica Interdisciplinar y Sistemas Complejos (IFISC)

    Research interests lie in both classical and quantum complex systems. I have extensive experience in open quantum systems, as during my PhD the main focus of my studies has been the dynamics of impurities in Bose Einstein Condensates (BEC), which were examined under the prism of quantum Brownian motion. Particular emphasis was given on the non-Markovianity of the aforementioned dynamics as well as their anomalously diffusing kinetics and their dependence on the BEC characteristics. Entanglement among two such impurities immersed in BEC was also studied, as well as the transfer of heat between two impurities immersed in two distinct BECs. During my PhD I have also worked on developing models of anomalous diffusion emerging in the context of interacting particle dynamics. These were aimed at describing observations of the diffusing dynamics of protein receptors that lie on the cell's membrane. I also have experience in anomalous diffusion in fluctuating environments, and more specifically one described by the Glauber-Ising model dynamics. Currently I am working on two research lines. First I study the role of the topology of the network of interactions in models of opinion dynamics, e.g. the voter model, in both the static and the dynamically evolving scenarios. I am also interested in the performance of quantum reservoir computers, and in particular in identifying the role that particle statistics play in it.

  • 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.

  • Hocine Cherifi

    at University of Burgundy

    I received a Ph.D. degree from National Polytechnic Institute, Grenoble, in 1984. I have been a full Professor of Computer Science with the University of Burgundy, Dijon, France, since 1999. Before moving to Dijon, I held faculty positions at Rouen University and Jean Monnet University, France. I have held visiting positions at Yonsei, South Korea; The University of Western Australia, Australia; National Pingtung University, Taiwan; and Galatasaray University, Turkey. I have published more than 200 scientific papers in international refereed journals and conference proceedings. I held leading positions in more than 15 international conference organizations and have served in more than 100 program committees. My research interests span from Computer Vision to Network Science. In 2011, I initiated the International Conference on Complex Networks and their Applications. I am also a Founding Editor-in-Chief of the Applied Network Science journal edited by Springer. I also serve on the Editorial Board of Computational Social Networks, PLOS One, IEEE Access, Journal of Imaging, Complex Systems, Quality and Quantity, and Scientific Reports.

  • 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 Dean (Students) of the College of Science. He was 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 Non-Equilibrium Physics of Complex Systems. He is currently active in applying the the approaches of Machine Learning and Artificial Intelligence to complexity science, and vice versa. He has focused his recent research on the statistical physics and 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

    Assistant professor at University of Rome Tor Vergata

    Giulio Cimini is tenure-track assistant professor at the Physics Department of University of Rome Tor Vergata. His expertise covers statistical physics, complex systems and networks, probability theory, numerical calculus, agent-based simulations, statistical data analysis and machine learning. His research activity mainly consists of interdisciplinary application to complex systems of social 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 has been a PostDoc at the Complexity Science Hub Vienna since July 2021. Nicola is a theoretical physicist by training. He obtained his Ph.D. in complex systems for physics, socio-economics, and life sciences from the University of Catania. Nicola won an Erasmus+ grant for traineeship and worked in the quantum gravity group at Radboud University in The Netherlands. He has been visiting Ph.D. student at the Queen Mary University of London and at the Centro Brasileiro de Pesquisas Fisicas in Rio de Janeiro. He also worked as a high school professor of mathematics and physics. Nicola is interested in complex systems and network theory and their many applications: econophysics, biophysics, ecology, and neuroscience. He has also scientific interests in quantum gravity and the foundations of physics and in the emergence of consciousness and the mind from the structural components of the brain. He plans to explore the boundaries of different physical and mathematical subjects, e. g. statistical mechanics and cosmology (the arrow of time). At the CSH, Nicola is primarily focusing on the application of complex systems theory—data analysis and agent-based model simulations—to social group formation and inequalities. In his spare time, Nicola writes books as an independent author. 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 traveling, reading, sports (from martial arts to Parkour), photography, and 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.

  • Juan C. Correa

    Researcher Professor at Cesa business school

    I am a behavioral data scientist. I obtained my Ph.D. in Science in 2015 from Universidad Simón Bolívar in Caracas, Venezuela, under the supervision of Professor Klaus Jaffe. My thesis was an agent-based model of heterogeneous traffic (e.g., when motorcyclists ride in between four-wheel vehicles). Then, I worked as a postdoc at Prague University of Economics and Business in the Czech Republic, and I worked on applied data mining projects: including the sci-hub effect on papers' citations (published in Scientometrics) and the Consistency of Trust-Sales Relationship in Latin American E-Commerce (published in Journal of Internet Commerce). I am a full professor at CESA Business School in Bogotá, Colombia, where I teach complexity through different courses, seminars, and workshops. I have been a peer-reviewer of various journals since 2015 when I joined the Complex Systems Society. You can find more information on me on my website https://correajc.com/.

  • 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

    Currently I am an Assistant Professor working on "Complexity Economics in Cities" at Wageningen University (the Netherlands), and I lead a working group at Future Earth, the world's largest sustainability research programme. My 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), on climate policies — with 2021 Nobel Prize in Physics Klaus Hasselmann (Hasselmann, Cremades et al., 2015, Nature Geocience), and on cities (Cremades and Sommer, 2019, GMD).

  • Hao Cui

    PhD candidate at Central European University

  • 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.

  • Simone Daniotti

  • Todd Davies

    PhD Student in Competition Law at University College London

  • Manlio De Domenico

    Professor at University of Padua

    Manlio De Domenico is Associate Professor of Applied Physics at the University of Padua (Italy). Physicist by training, he started his research within the Laboratory of Complex Systems at the University of Catania. He did his postdoctoral work at the University of Birmingham (UK) and at the Universitat Rovira i Virgili (Spain). Granted a Juan de la Cierva senior fellowship, he moved to Trento (Italy), where he funded the Complex Multilayer Network (CoMuNe) Lab, the "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. In 2019, he was awarded the Young Scientist Award on Statistical Physics by the IUPAP C3 commission for "Interdisciplinary Applications of Statistical Physics" and, in 2020, the Young Scientist Award for Socio- and Econophysics by the German Physical Society (DPG) for "outstanding and insightful work on multilayer networks and their applications to the field of socio-economic systems". He has been granted the National Scientific Habilitation for the role of Full Professor in Theoretical Physics of Condensed Matter and the role of Full Professor in Applied Physics by Italian Ministry of Education University and Research (MIUR).

  • 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.

  • Robin Delabays

    Assistant Professor at HES-SO

    I hold a PhD in Mathematics from the University of Geneva. My main focus back then was to better understand the relation between network structures and multistability in systems of coupled oscillators, with a central focus on the stability of power grids. Later on, I shifted my interest towards the robustness of equilibria in such networked systems against external disturbances. Over the last years, my academic appointment gravitated around the groups of Prof. Jacquod in Sion (CH), Prof. Doerfler at ETH Zurich, and LANL. Part of my work has been directed towards the inference of network structures and the localization of disturbance's source, based on time series measurements only. In 2020,I joined the group of Prof. Bullo at UCSB, where I have been investigating the behavior of systems of coupled oscillators with directed couplings. Since August 2022, I am an Assistant Professor at the School of Engineering of the HES-SO, in Sion. My aim over the coming years will be to incorporate the applied expertise of my colleagues in my research.

  • 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

  • Elma Dervic

    PhD Student at Complexity Science Hub Vienna

  • Carl Dettmann

  • Fabrizio de Vico Fallani

    Research director at Inria

    Fabrizio de Vico Fallani is INRIA research director at the Paris Brain Spine Institute (ICM). 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 multidisciplinary 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. In 2019 he was awarded an ERC Consolidator Grant by the European community. In 2018 he received the "Young investigator" award by the Complex Systems Society (CSS). In 2012 he received the "Young researcher" award and in 2009 the prize for the "best PhD thesis" by the National Group of Bioengineering (GNB).

  • Fernando Diaz-Diaz

    PhD student at IFISC

    My research is devoted to the study of the structure and dynamics of complex networks. Complex networks are the skeletons of complex systems, and as such, its range of application can extend to any field of science, from physics to sociology. My interests are not limited to analytical predictions, but also extend to numerical simulations and data analysis. My PhD thesis focuses on studying the the structure and dynamics of signed networks; this is, networks where conflict is explicitly modelled through negative links between agents. In particular, I investigate the effects of structural unbalance on diplomatic, social and biological networks: is diplomatic unbalance related to international conflict? Can unbalance in social networks prevent polarization?


    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.

  • Gabriele Di Bona

    PhD Student at Queen Mary University of London

    Currently a PhD Student in my 3rd year at the School of Mathematical Sciences of Queen Mary University of London with Prof. Vito Latora, my current research interests cover several aspects of complex networks, with a special focus on innovation dynamics and its broad applications. My main Ph.D. project aims to unveal the mechanisms that govern the exploration of conceptual spaces within the new "adjacent possible" framework and understand how social interactions affect these processes, both by creating and analysing new datasets, from music to technology and science, and by developing new general mathematical and physical models. Also working in hyperbrain networks, decentralization, large deviations theory and gene-regulatory systems. If you have any idea (good or bad we'll see together), don't hesitate to contact me!!!

  • 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.

  • Giovanna Maria Dimitri

    at Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche, Universitá degli Studi di Siena (Siena)

    Giovanna Maria Dimitri holds a PhD in Computer Science, obtained at the University of Cambridge (UK), under the supervision of Prof Pietro Lio’, with the dissertation: “Multilayer network methodologies for brain data analysis and modelling”. She is currently a post-doc at the Department of Mathematics and Engineering at the University of Siena. She graduated in July 2015 in the MPhil in Advanced Computer Science at the University of Cambridge, with distinction under the supervision of Dr Pietro Liò with a dissertation on “Predicting Drugs Side Effects from a Combination of Chemical and Biological profiles”. She is a life member of Clare Hall college, Cambridge. She received her master thesis in 2014 in Computer and Automation Engineering at the University of Siena (110/110 cum laude) with a dissertation called “ Prediction of Protein Functions using Semantic Based Regularization”, supervisor Professor Michelangelo Diligenti. She received her Bachelor’s degree in Computer Engineering at the University of Siena (110/110 cum laude) with a dissertation called “Web documents clustering using web search engine users’ logs” under the supervision of Prof. Michelangelo Diligenti. She is the lecturer of the Business Intelligence course, part of the Master in Management Engineering, of the University of Siena, since the academic year 2019/2020. Currently Giovanna is a post doc researcher at the VIPP group The full list of publications of Giovanna can be found https://scholar.google.com/citations?user=2Ohb_AUAAAAJ&hl=it&oi=ao

  • Dan-Gheorghe Dimitriu

    Associated Professor at Alexandru Ioan Cuza University of Iasi

  • Alessandro Di Stefano

    Senior Lecturer in Computer Science at Teesside University

    I'm a Senior Lecturer in Computer Science at Teesside University, within the School of Computing, Engineering and Digital technologies (SCEDT), Department of Computing & Games. I received my BSc (2009) and MSc degrees (2012) in Telecommunications Engineering from the Department of Electrical, Electronic, and Computer Engineering (DIEEI) at the University of Catania, Italy. I hold a Ph.D. degree in Systems Engineering from the DIEEI at the University of Catania, Italy, awarded in 2015, with a thesis titled "Evolutionary Dynamics of Social Behaviours on Multilayer Networks". After completing my Ph.D., I worked as postdoctoral researcher at DIEEI, University of Catania, for almost four years, and then as a research associate and teaching assistant at the Department of Engineering, King’s College London (KCL), London, UK, supervised by Prof. Nishanth Sastry. Then, I worked as a research associate at Computer Laboratory, Department of Computer Science and Technology, University of Cambridge, UK, supervised by Prof. Pietro Liò, with whom I have been collaborating since 2012. I have been an IEEE member and part of the IEEE Professional Communication Society and the Technical Committee on Computational Life Sciences, since 2017. I have been collaborating with several universities in Europe and all over the world, such as University of Cambridge, King's College London, University of Siena, and Missouri University of Science and Technology, USA. Moreover, I regularly serve as a reviewer for various top-tier journals, such as IEEE Transactions on Mobile Computing, Nature Scientific Reports, IEEE Transactions on Communications, IEEE Internet of Things Journal, Journal of the Royal Society Interface, and PloS One, and leading international conferences (IJCAI, KDD, CIKM, ICDCS, ICDCN, etc.), where I have often been invited to join the Technical Program Committee of these events. My research approach is interdisciplinary, incorporating engineering and computer science methodologies applied to socio-technological systems. My main research interests include game theory, network science and artificial intelligence. I have published many peer-reviewed papers in high impact journals and leading international conferences.

  • 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.

  • Piero Dominici

    Associate Professor (PhD) at "CHAOS" International Research and Education Programme on "Complex Human Adaptive Organizations and Systems" - University of Perugia

    Prof. Piero Dominici (PhD), sociologist e philosopher, Fellow of the World Academy of Art & Science (WAAS), Scientific Director of the International Research and Education Programme CHAOS and Official Delegate to UNESCO. Director of Scientific Listening at the Global Listening Center, he teaches Sociology of Social Complexity and Intelligence, Networks, and Complex Systems at the University of Perugia. As scientific researcher, educator, author and international speaker, his main areas of expertise and interest encompass (hyper)complexity, interdisciplinarity and knowledge sharing in the fields of education, systems theory, technology, innovation, intelligence, security, citizenship and communication. He has recently been awarded the title of Associate Professor, National Scientific Qualification ASN from the MIUR (Italian Ministry of Higher Education and Research) and is also member of the MIUR Register of Revisers. He has taught and carried out research at a number of national and international universities, and is Visiting Professor at Complutense Universidad of Madrid. Aside from his academic activities and participation in international conference and lecture circuits (such as Altius Conference, Oxford University, Oxford 2017, 2018, 2019, Bateson Circle, Rome 2018; IEEE Conference, Milan 2019, World Academy of Art and Science and UN international congress - and projects - and an upcoming lectures scheduled to be held at Illinois Institute of Technology), he has published several books, one of which, Dentro la Società Interconnessa. Prospettive etiche per un nuovo ecosistema della comunicazione [Inside the Interconnected Society. Ethical prospects for a new ecosystem of communication], currently being translated into English, was the winner of the 2018 Elisa Frauenfelder International Scientific Award, section “Culture and Innovation”, as well as many peer-reviewed scientific articles, among which an article for a Springer journal entitled “For an Inclusive Innovation. Healing the fracture between the human and the technological in the hypercomplex society”, published in 2018 in the European Journal of Futures Research, Springer. He received his (international) PhD in "Social Theory and Research" (Rating: Excellent) from Sapienza University of Rome, later winning a Post-Doc Fellowship from the Department of Mechanical and Industrial Engineering, (Doctorate Program of Complex Industrial Systems) at Roma Tre University of Rome. He is standing member of the European Association for Digital Humanities (EADH), the World Complexity Science Academy and the New England Complex Systems Institute, and is scientific committee member of the International Scientific Board Of Communication and Media Research Center and the Editorial Board of the International Journal of Political Science & Diplomacy, as well as member of the Scientific Committee for Orientation of the Italian Association of Public and Institutional Communication, among others. He is also member of Technology, Knowledge, and Society Research Network, international network of scholars and researchers. He has taught and carried out research at a number of national and international universities and has been working in the field of complexity and systems theory for over twenty years, He currently performs activities of research, education and consulting for public and private organizations, and has coordinated projects of national and international renown. In his university courses in Sociology and Philosophy, Piero Dominici has continued to teach approaches to complexity and systems theory - with particular reference to the issues of education and democracy - and to organize academic seminars and systems thinking workshops. Author of numerous essays, scientific articles and books.

  • Ana Frances Dumdum

  • Upasana Dutta

  • Sacha Epskamp

    Assistant Professor at University of Amsterdam

  • Lisette Espin-Noboa

    Postdoc at Complexity Science Hub Vienna (CSH)

  • Benjamin Patrick Evans

    PhD Candidate at University of Sydney

  • 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 applications to archaeology, urban systems and bibliometrics.

  • 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)

  • Kelly Finn

    Neukom Fellow at Dartmouth College

  • Francesc Font-Clos

    Postdoctoral fellow at University of Milano

  • Helena Freire de Almeida

  • Stephen Friess

    PhD Candidate at University of Birmingham

  • Michele Frisia

    PhD Student at CASD/IRAD, PhD School, Rome (Italy)

  • 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 where I teach mechanics, thermodynamics and quantum mechanics . 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.

  • Shreyas Gadge

    MS Student in Physics at Indian Insitute of Science Education and Research, Mohali

    I'm a final year Master's student in Physics at the Indian Institute of Science Education and Research (IISER), Mohali, India. My research interests are complex network modeling in socio-biological systems. I have worked with groups in IIT Madras and CNRS, France, on biophysical complex modeling in sensory perception through my internships. For my Master's Thesis, I moved to an ecological prey-predator population dynamics model incorporating dispersal. I plan to diversify my research skills in complex systems and stochastic processes to several systems integral to society and nature and am currently looking for doctoral positions.

  • Tobias Galla

    Staff scientist, IFISC Palma de Mallorca

    1999 Diplom in Physics, University of Münster, Germany; 2004 Doctor of Philosophy (D.Phil.), University of Oxford, UK; 2004-2007 postdoc ICTP Trieste; 2007- University of Manchester UK (first as Lecturer, then Senior Lecturer, Reader, finally Professor); 2019- IFISC Palma de Mallorca (Staff Scientist)

  • Luca Gallo

    PhD candidate at University of Catania

    I received a bachelor’s degree in physics in 2016, and a master’s degree in physics of complex systems in 2019, both from the University of Turin. Currently, I am a PhD candidate in complex Systems for physical, socioeconomic and life sciences at the University of Catania. Starting from November the 1st I will be a Junior Visiting Research at the Central European University of Vienna. My research interests include dynamical systems, complex networks, and higher-order networks.

  • Riccardo Gallotti

    Researcher at Fondazione Bruno Kessler

    Interdisciplinary physicist, head of the CHuB Lab at the Bruno Kessler Foundation in Trento, a research unit for the data-informed statistical modelling of individual and collective human behaviour. My research interest falls within complexity science and data science, focusing in particular on human mobility, multimodal transportation, decision modelling and online communication.

  • 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

  • Alexander Gates

    Assistant Professor at University of Virginia

  • Sandip George

    at University College London

    I completed my PhD in physics from the Indian Institute of Science Education and Research, Pune (IISER-Pune) in October 2019, working on nonlinear time series analysis. During my PhD, I studied the dynamics of light variation in variable stars. Subsequently, I moved to the University Medical Center Groningen (UMCG), working on predicting transitions towards depression. Currently, I work as a postdoc at the University College London (UCL), working on using machine learning techniques in combination with nonlinear time series to study data from critical care.

  • 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.

  • Sara Ghivarello

    at Politecnico di Torino

    Master degree in Physics of Complex Systems , a MSc programme jointly operated by Sorbonne, Université de Paris, and Paris-Saclay, together with Politecnico di Torino, SISSA and ICTP in Trieste

  • 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).

  • Marta C. Gonzalez

    at University of California Berkeley

    Professor Gonzalez works in the area of urban computing, with a focus on the intersections of people with the built environment and their social networks. Her ultimate goal to design urban mobility solutions and to enable the sustainable development of smart cities. Prof. González has injected new tools into transportation research and is a leader in the emergent field of urban computing.

  • 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.

  • Ivan G Torre

    Postdoctoral research fellow at Polytechnic University of Madrid /Public University of the Basque Country

  • Yukio Gunji

    Professor at School of Fundamental Science and Engineering, Waseda University

    I have worked on research problems regarding theoretical and experimental biology, researches on complex systems, cognitive science, and soft computing. I have worked on areas ranging from bio-computing through to granular computation such as rough set, concept lattice and network structure, theoretical models of self-organizing systems, based on the theory of internal measurement. Currently I work on collective behavior of biological systems such as soldier crabs and ants, and swarm computation based on real swarms. Physarum computing is investigated in this line. I was a project leader on interactive hierarchical system in Kobe University and now a member of GCOE, JSPS project. I have published over 250 papers and 11 single authored book. I enjoy exploring new area of theoretical biology and system sciences. I have supervised 35 PhD students in theoretical biology, system theory, experimental biology on animal behavior and cognitive science in Faculty of Science, Kobe University and have coordinated work with a number of outside university. In 2014, I moved to Waseda University to study more general issues as an adaptive system. 31, Mar 1982: Bachelor of Science, Department of Geology and Paleontology, Tohoku University, 30, Jun 1987: Doctor of Science, Tohoku University 1, Apr 30 - Mar, 1987: Research fellow of Japan Society for the Promotion of Science 1, Jul 1987: Assistant Professor, Kobe University (Department of Earth& Planetary Sciences) 1, Jul 1993: Associate Professor, Kobe University (Department of Earth& Planetary Sciences) 1, Apr 1999~: Professor, Kobe University (Department of Earth& Planetary Sciences, Faculty of Science) and (Department of Information and Media science, Faculty of Technology) 1, Apr 2002~2009: Visiting Professor, Waseda University (Institute for Complex systems) 1, Apr 2009~: Research fellow, Waseda University (Institute for Complex systems) 1, Jan 2013~: Visiting Professor, Center for Unconventional Computing, University of the West England 1, Apr 2014~:Current position

  • Önder Gürcan

    at Paris-Saclay University

    I am a senior researcher at the CEA LIST, Paris-Saclay University, where I carry out research in distributed problem solving in general. I am interested in working on open interdisciplinary problems in domains like multi-agent systems, collective intelligence, self-organization and self-adaptation, biological systems, distributed clock synchronization and behavioural economics.

  • 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.

  • Arda Halu

    Instructor in Medicine at Harvard Medical School

    Arda Halu is an Instructor in Medicine and Associate Scientist at the Channing Division of Network Medicine, Brigham and Women's Hospital (BWH) and Harvard Medical School (HMS). His research interests lie at the intersection of network science, computational biology, genomics and systems medicine. Prior to joining the Faculty of Medicine at HMS, he was a Postdoctoral Fellow at BWH/HMS (2015-2020) and a Postdoctoral Associate at the Massachusetts Institute of Technology (2014-2015). He obtained his PhD in Physics at Northeastern University, Boston, in 2014 (supervised by Dr. Ginestra Bianconi), and holds MS and BS degrees in Physics from Bogazici University in Istanbul, Turkey. Dr. Halu is a recipient (2020-2025) of the Mentored Quantitative Research Career Development Award (K25) from the National Heart, Lung, and Blood Institute, National Institutes of Health.

  • Shlomo Havlin

    at Bar Ilan University, Boston University

  • Torsten Heinrich

    Professor at Chemnitz University of Technology

    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 as a Postdoctoral Researcher. In 2019, he moved to the Oxford Martin Programme on Technological and Economic Change (OMPTEC) of the Oxford Martin School and became an Associate Fellow of INET Oxford. Since 2020, he holds the chair for microeconomics at Chemnitz University of Technology in Chemnitz, Germany. 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-CY Cergy-Paris 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 CY Cergy-Paris University. Convinced 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, I have participated in different organizations that act for development of Complex Systems studies. I have been counselor of the Complex System Digital Campus (CS-DC Unitwin UNESCO) until 2017, elccted counselor of the CCS (2015-2018), member of the Excecutive Committee of CCS (2018-2020) and at present I'm member of the Direction Board of the Institute of Complex Systems of Paris-Ile-de-France (ISCpif), and General Chair of the Conference of the new French Chapter of Complex Systems Society (to be held in 2022) . My research work focuses on 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, Dynamical Systems, Network Theory, ABM, numerical simulations, etc. At present, I work on a complex network approach of Mutualistic Ecosystems, (like plant-pollinators or plant-frugivores networks), and I lead an international and interdisciplinary team OpLaDyn (http://project.u-cergy.fr/~opladyn/) where we work on problems of Opinion and Language Dynamics, both using a data based approach and theoretical models. I’m very interested in the transmission of this interdisicplinary approach 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 the program. Since 2015, I teach a course on Complex Networks at the Doctoral College of my university, aimed at bringing this useful tool to students issued from different disciplinary fields. Keywords: Phase Transitions and Critical Phenomena, Disordered Materials, Complex Networks, Ecological Networks, Cultural and Opinion Dynamics, Agent-based Models, Monte Carlo Simulation, Computational Social Science. Research work: https://www.researchgate.net/profile/Laura-Hernandez-92

  • Emilio Hernandez-Garcia

    CSIC Research Professor at IFISC (CSIC-UIB)

    CSIC Research Professor (since 2001) at IFISC, the Institute for Cross-Disciplinary Physics and Complex Systems in Palma de Mallorca. Previous positions as Associate Professor at the University of the Balearic Islands (Mallorca, Spain) and Research Associate at McGill University (Montreal, Canada). Graduated in Physics from the University of Barcelona (1986). PhD at the University of the Balearic Islands (1990). Research Interests: Nonlinear Dynamics, Complex Systems, Statistical Physics, Spatiotemporal Chaos, Pattern Formation, Lagrangian Chaos and Transport in Fluids, Applications to Ocean Dynamics, and Biological Modelling.

  • Manuel Herrera

    Senior Research Associate at University of Cambridge

    PhD in Hydraulic Eng., MSc in Statistics. My research focuses on predictive analytics and statistical learning in complex systems for critical infrastructure management. Participating in granted projects on telecom, transport and water systems. I am a fellow of the Royal Statistical Society (RSS), committee member of the RSS Special Interest Group in statistical engineering, and the recipient of the Frank Hansford-Miller fellowship 2021 in applied statistics, awarded by the WA Branch of the Statistical Society of Australia.

  • 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.

  • Erik Hormann

    DPhil Candidate at Mathematical Institute, University of Oxford

  • Pegah Hozhabrierdi

    at Syracuse University

  • 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 Ph.D. 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 Ph.D. 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. At CEU I’m Director of the Advanced Certificate Programs in Data Science & Data Analysis, and member of the Data Analytics Faculty Group of the Executive MBA program. I’m also Academic Editor at PLoS ONE & Information, and member of the Humane AI Net & SAI consortia. 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 political polarization online. 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), and received research funding from the World Bank, EU, Conacyt (Mexico) & the Mexican Tax Office. I was part of the organizing committee for CSS’17 in Cancún, and part of the 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.

  • 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 Computational Science(JOCS). She is 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"

  • 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 (KAIST). He has previously been a Research Fellow at Korea institute for Advanced Study (KIAS), a Postdoctoral Researcher at Aalto university in Finland, a Research Assistant Professor at Pohang University of Science and Technology (POSTECH) in Republic of Korea, and a Junior Research Group Leader/Assistant Professor at Asia Pacific Center for Theoretical Physics (APCTP) 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.

  • 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.

  • Nalan Karunanayake

    PhD Student / Research assistant at Thammasat University

    I am a final year PhD student at Thammasat University in the Bio-Medical Engineering research unit (BIOMED) under Prof. Stanislav Makhanov. I completed my MSc in Computer Science from Thammasat University in 2019. In 2015, I obtained my BSc in Applied Science (Statistics, Mathematics, Com. Science) from the University of Sri Jayawardenapura, Sri Lanka and my BEng in Electronics from Sheffield Hallam University in 2014. I do research in Artificial Life, Deep Learning, and the Computation of Physics. I am interested in Computational Neuroscience, which combines mathematics, physics, engineering with psychology and neuroscience to understand how the brain works with vision and memory. Weboage: https://www.nalankaru.com/

  • Mari Kawakatsu

    James S. McDonnell Foundation Postdoctoral Fellow at University of Pennsylvania

  • Mikko Kivelä

  • 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

  • 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

  • Claire Lagesse

  • Chandrajit Lahiri

    Associate Professor at Sunway University

  • Fabio Lamanna

  • 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.

  • Aniello Lampo

    at Universitat Oberta de Catalunya

  • 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!

  • María Larraga Ramirez

    Senior research at Instituto de Ingeniería-UNAM

    María Elena Lárraga received her PhD degree in Engineering from the Universidad Nacional Autónoma de México in 2004. She is currently a full time researcher at the Institute of Engineering of UNAM (National Autonomous University of Mexico), in the Department of Electrical and Computer Science. In addition, she works as a professor in the Graduate Program in Computer Science and Engineering at UNAM. Her research focuses on mathematical and computational modeling of complex discrete systems, cellular automata, vehicular traffic dynamics, spatio-temporal propagation of epidemics and malware.

  • 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.

  • 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.

  • Joseph Lemaitre

    at EPFL

    Joseph Lemaitre is a PhD student working on infectious disease epidemiology in the Laboratory of Eco-hydrology, EPFL. His dissertation focuses on cholera transmission modelling and in optimal allocation of control ressources, He was visiting the Infectious Disease Dynamics group at the Johns Hopkins Bloomberg School of Public Health on a SNF Mobility Grant. There, he has been working on the JHU COVIDScenarioPipeline, used by several countries and states to inform public health decisions for the COVID-19 pandemic.

  • 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.

  • 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).

  • Fulvio Lopane

  • 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.

  • Thomas Louf


  • Juniper Lovato

    at The Vermont Complex Systems Center

    Juniper Lovato (pronouns: she/her) is an educator and researcher in the field of complex systems and data science. Her current research focuses on Data Ethics, Group Privacy, Open Source, Complex Systems, and Data Science. She is the Director of partnerships and external programs at the Vermont Complex Systems Center at UVM where she organizes Complex Systems programs and thinks about data ethics. She is also a Ph.D. student in Complex Systems & Data Science, at the University of Vermont! Previously, she was the Director of Education for the Santa Fe Institute in Santa Fe, New Mexico where she was born and raised (on a rural family compound (in the Village of Tesuque) populated by hippies and Spanish/Swedish folk musicians, yup they had a dance pavilion). In her free time, she makes/supports makerspaces and open source/open science programs

  • Lorenzo Lucchini

    Postdoctoral Researcher at Bocconi University

    I am a post-Doctoral research fellow at Bocconi University, a research fellow at the Center for Health Emergencies (Bruno Kessler Foundation), and a data science research consultant at the World Bank. My research focuses on statistical characterization and mathematical modelling of coordination and collective behaviour dynamics leveraging novel big-data streams from social media and mobile phones. My topics of interest range from vaccine hesitancy and information diffusion to conventions and norms formation. I hold a PhD in computer science (complex systems, networks and computational social science) and a MSc in theoretical physics.

  • 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

    Postdoc at University of Toulouse

    I am a Postdoc at the Center for Collective Learning at the University of Toulouse under the supervision of Prof César Hidalgo. I completed my PhD in Computer Science in the topic of 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.

  • Dario Madeo

    Post-doc at Department of Information Engineering and Mathematics, University of Siena

  • Krzysztof Malarz

    Associate Professor at AGH University of Science and Technology | Faculty of Physics and Applied Computer Science

    Graduated (M.Sc.) from Faculty of Physics and Nuclear Techniques, University of Mining and Metallurgy, Kraków in 1996. Doctorate (Ph.D.) in computational and theoretical physics at Faculty of Physics and Nuclear Techniques, University of Mining and Metallurgy in 2000. Habilitation (D.Sc.) 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 (sociophysics, phase transitions, population aging and evolution and modelling of the magnetic interactions) by means of computer simulations (including cellular automata technique). He wrote over eighty scientific papers and contributed to over fifty conference presentations. He works as an associate professor at Faculty of Physics and Applied Computer Science AGH UST in Kraków. He serves as: deputy dean for Faculty of Physics and Applied Computer Science AGH UST; member of Home Audit Committee for Polish Physical Society; senior editor for “Open Physics”; editor for “Plos One”; review editor for “Frontiers in Physics” and member of Topical Advisory Panel for “Entropy”. 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.

  • Pouya Manshour

    Research Scientist at Institute of computer science of the Czech academy of sciences

  • 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.

  • Benedetta Mariani

  • Ricardo Martinez Garcia

    SIMONS Research Associate Professor at ICTP - South American Institute for Fundamental Research

  • 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

  • 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


    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.

  • Mattia Mazzoli

    After getting his Master’s Degree in Physics of Complex Systems at University of Turin in 2017, Mattia Mazzoli obtained the title of PhD in Physics of Complex Systems at IFISC (CSIC-UIB), Palma, in July 2021. During his PhD he studied the role played by human mobility on epidemics, urban structure and migrations. In April 2021 he joined the EPIcx lab to work on how mobility shapes the spatial spreading of viruses at national and continental scales.

  • 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.


    PhD Student at Faculty of Science, University of Yaoundé I

  • José Fernando Mendes

    Professor at Physics department

  • Erica Ann Metheney

    Statistician and Head of Data Team at University of Gothenburg

    I am the statistician and head of the data team at the Governance and Local Development Institute (GLD) at the University of Gothenburg in Sweden. I have a PhD in Statistics from Texas A&M where I completed a dissertation on the simulation of complex networks. Since moving to Sweden I have been working as an applied statistician in political science projects aimed at measuring and modeling local governance, development, and their impacts of on service delivery. GLD has recently decided to pursue analyzing governance as a complex system which is allowing me to combine my past and current experience.

  • 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.

  • Chiara Mocenni

    Associate Professor at University of Siena

    I am associate professor of Systems and Control at the Department of Information Engineering and Mathematics (DIISM) of the University of Siena. I received my Laurea degree in Mathematics from the University of Siena in 1992's. Before joining the Systems and Control Group at DIISM in 1998 as Research Associate, I received a PhD in Physical Chemistry defending a thesis on mathematical modeling of environmental systems. During PhD I spent some months in the group of Profs. A. Goldbeter and I. Prigogine at ULB, Brussel. I teach Complex Dynamic Systems and Game Theory in the Courses of Artificial Intelligence and Automation, Applied Mathematics and Engineering Management. Since 2015 I am heading the teaching committee of the Master's Course in Engineering Management of the University of Siena, where I constantly explain to students and colleagues the relevance of studying complex systems in scientific education. Since 2000 I have been fellow of the Center for the Study of Complex Systems (CSC) of the University of Siena and served on its Board of Directors. After the deactivation of CSC in 2012, I created the Complex Systems Community, a network of researchers working on complex systems. From 2013 to 2016 I have been Special Visiting Researcher at Instituto Nacional de Matematica Pura e Aplicada (IMPA) of Rio de Janeiro, Brazil, where I led a research project on Evolutionary Games on Networks for Modeling Complex Biological and Socio-Economic Phenomena. Main research interests are Complex Systems, Dynamics of Cooperation, Evolutionary Games on Networks, Mathematical Modeling and Identification of Biophysical and Socio-economic Systems, Nonlinear Dynamics, Bifurcations. More details on my research activities, including the publication list, are available at https://docenti.unisi.it/en/mocenni.

  • 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

    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.

  • 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.

  • Abhishek Nair

    at Wageningen University

    Abhishek Nair was born on the 26th of April 1988 in Coimbatore, India. He was awarded a Bachelor of Science in Computer Application in 2009. He continued his studies at TERI University where he earned a Master of Science in Climate Science and Policy in 2012. In 2013, he started his career in academia as a research associate at the Institute of Rural Management Anand, India. Here he worked as research lead and coordinator on several projects with a focus on climate change adaptation, agro-ecological zoning, sustainable livelihoods, land conflicts and governance. During his tenure at IRMA also served as a visiting research scholar at the International Institute of Applied Systems Analysis, Austria. In 2015, Abhishek Nair started his doctoral scholarship at the Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente. At ITC, he developed an approach titled "Generalised Fuzzy Cognitive Maps" for modelling complex social systems and providing policy decision support on wicked socio-ecological and socio-technical problems. During his PhD scholarship, he was involved in teaching and contributed to other research projects on complex systems analysis. He is currently a Post-Doctoral Scholar at Wageningen University modelling the socio-ecological dynamics of agriculture production systems. His main research interests are Climate policy analysis Urban and regional futuring Modelling complex social systems Participatory modelling Scenario analysis Social network analysis More information regarding my publications can be found here https://scholar.google.com/citations?user=zqr-ts0AAAAJ&hl=en&authuser=1

  • Leonardo Nascimento Ferreira

    Senior Postdoctoral Researcher at University of Oxford

  • 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 Max Planck Institute for Mathematics in the Sciences (MPIMIS). 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. From 2017 - 2021 he coordinated of the European project "Opinion dynamics and cutltural conflict in European spaces" (www.odycceus.eu) and is currently preparing a follow up project.

  • 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.

  • Luis Olivares-Quiroz

    Full Researcher at Universidad Autonoma de la Ciudad de Mexico

    Full time physics Professor at Universidad Autonoma de la Ciudad de Mexico and Member of the Centro de Ciencias de la Complejidad C3 UNAM. I obtained my PhD in Statistical Physics with applications to protein folding and molecular biology. Afterwards, I did postgraduate work in statistical physics of quantum ultra cold gases. Recent research interests comprise two main lines. On one hand, applications of graph and network theory to identification of active sites in biological macromolecules and enzymes. Secondly, Markovian and non-Markovian diffusion process in lattices and networks to explore transport systems, like, traffic and anomalous diffusion in soft condensed matter.

  • 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.

  • 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.


    Professor and Researcher at University of São Paulo

    Francisco Carlos Paletta, Professor and Researcher - School of Communications and Arts of the University of São Paulo. PhD in Science from University of São Paulo. Postdoctoral research in the Nuclear and Energy Research Institute. MCs in Production Engineering, MBA in Marketing, Post-Graduation in Materials Science, Post-Graduation in Strategy and Geopolitics. B.S. in Electronic Engineering. Advanced Program for Managers in Strategic Planning from the University of Minnesota School of Management. Professional Education in Industrial Automation from the Automation College, Phoenix, Arizona. Master in Domótica y Hogar Digital – Universidad Politécnica de Madrid. Master Université Paul-Valéry Montpellier III Domaine: Sciences Humaines et Sociales. Mention: Information et Communication Spécialité: Gestion de l ‘Information et de la Connaissance. Postdoctoral research at the University of Porto in the field of Information Science. Former CEO at Novell do Brasil, a market leader in network software, web service and secure identity solutions. Before that, former Novell’s Business Director, and Services Manager for Latin America. Former CEO of Altiris Inc subsidiary in Brazil, a company specialized in management solutions for IT assets throughout their lifecycle. Former Services Director for Sun Microsystems Brazil. Responsible for the business and application engineering areas of the Instrumentation and Industrial Process Control Division, as well as the Homes & Buildings Division at Honeywell do Brazil. Former Services Director for Manufacturing, Energy and Global Accounts at EDS, both for Brazil and Latin America. Former Dean of the Computer Science College and the Engineering College at Fundação Armando Alvares Penteado – São Paulo, Brazil.

  • John Palmer

    Associate Professor at Universitat Pompeu Fabra

  • 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. My background is in physics (B.S., PhD), Applied Mathematics (M.S.) and Applied Developmental and Educational Psychology (M.S). I am a former member of MOBS lab, founding member of yrCSS (former YRNCS), 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. My overarching interest is to promote learning of complex systems in all educational levels. I am a strong advocate of developing a high-quality, challenging yet personalized and enjoyable educational experience that enables students to feel part of an active community, develop critical thinking, and discover the beauty of complex systems.

  • 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

  • Marco Patriarca

    Senior Researcher, ComplexSimplex Group, Chemical Biology Laboratory at The National Institute of Chemical Physics and Biophysics, Tallinn

    I made my Master studies in Physics at La Sapienza University, Rome, with a thesis on the quantum structure of ionized diatoms (1987). I made my PhD in Physics in Perugia University (1993), with a thesis on the Feynman-Vernon model of quantum dissipative systems. I contributed to start ComplexSimplex, the complex systems group at the Chemical Biology Laboratory of the National Institute of Chemical Physics and Biophysics, Tallinn (www.complexsimplex.com), where I am currently PI of the Project PRG1059 "The role of learning in language dynamics", supported by the Estonian Research Council. Main research topics: language dynamics, models of wealth exchange, origin of power laws, cognitive processes, biological cell networks, stochastic and diversity-induced resonance, ecological competition and natural selection, kinetic theory, classical and quantum Brownian motion, condensed matter. Previous positions: - Associate Researcher and Visiting Professor, IFISC (Institute for Cross-Disciplinary Physics and Complex Systems, Mallorca (2008-10). - Senior Researcher at the Institute of Theoretical Physics, Tartu University, Estonia (2006-2007). - Associate Researcher at the Institute of Physics, University of Augsburg (2005-2006). - Associate Researcher at the Department of Physical Chemistry, Philipps-University Marburg, Germany (Jan.-Apr. 2005). - Associate Researcher at the Laboratory of Computational Engineering, Helsinki University of Technology (2000-2004).

  • Theodore Pavlic

    Associate Professor at Arizona State University

    Theodore Pavlic has an interdisciplinary background, starting with a doctorate in electrical and computer engineering, progressing through research appointments in computer science and life sciences, leading to his current joint appointment as an assistant professor in the School of Sustainability and the School of Computing and Augmented Intelligence at Arizona State University. His research focuses on understanding adaptive decision-making strategies in autonomous systems. To this end, his laboratory does empirical work with natural systems, such as social-insect colonies, and does engineering work building decision-making algorithms for artificial systems, such as decentralized energy management systems for the built environment. Just as the biological models provide inspiration for novel engineering solutions, the engineering problems inspire new lines of scientific inquiry about those biological systems. This bidirectional flow is facilitated by solid mathematical models of fundamental decision-making processes in common with both the natural and engineered systems. Professor Pavlic is the associate director of research for The Biomimicry Center at Arizona State University. He is also active in several professional organizations and publication venues across engineering and life sciences. He is a faculty member in Sustainability, Industrial Engineering, Computer Engineering, Applied Math in the Life and Social Sciences, Biology, and Animal Behavior, and he is active in several of the complexity-related groups across ASU's campus.

  • Nicola Pedreschi

    Post-Doc at University of Oxford

    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

    Full professor at Universitat de Barcelona

    Josep Perelló is a full professor at the Department of Condensed Matter Physics of the Universitat de Barcelona. He is also deputy director of the UB TECNIO knowledge transfer group of Data Science. He graduated in Physics in 1996 and obtained his PhD also in Physics in 2001 with the first thesis on econophysics in Spain. He is currently serving as an editorial board member for Scientific Reports and Humanities & Social Sciences Communications (Springer Nature) and associate editor of Frontiers section social physics. He regularly acts as reviewer of the national research council and the EU commission as well as for major scientific journals (Nat Comm, Phys Rev Lett, Phys Rev X, New J Phys, Phys Rev E, Sci Reps, J Stat Phys…). Starting from statistical physics, he has been working on stochastic processes, statistics, and data science for a wide class of complex systems. Through an overlap of theoretical and empirical approaches, he has developed methods, digital tools, and models to explore social, economic, and financial phenomena. Since 2013, he has incorporated research public participatory practices when founding OpenSystems, a pioneering research group in the field of citizen science. He has conducted more than 16 public experiments (+7,000 participants) in collaboration with artists, designers, museums, cultural festivals, and cultural centers with a broad impact in press and media. Experiments are mostly focused on human behavior in urban contexts and are generally codesigned by concerned groups/communities to enable public debate and collectively respond to the social concerns. The scientific publication from the experiment that opened the largest street arts festival in Southern Europe (FiraTàrrega, 2017) was selected as a Editor’s Choice of Scientific Reports on Community Science paper. He has recently published in top-ranked prestigious journals from a wide variety of fields such as Science Advances, Nature Communications, Scientific Reports, Research Policy, Science of the Total Environment or Comunicar. He has been the editor of The Science of Citizen Science (Springer, 2021; 293k downloads). He is currently supervising 3 Doctoral Thesis. He coordinates the EU Horizon 2020 CoAct project (2020-2022) and since 2017 he is being participating in other 5 EU projects and has been PI or CoPI in 3 Ministerio de Economía y Competitividad grants. He has been Management Committee member (national representative) of the first and largest ever COST Action on Citizen Science (2016-2020). He also holds a long record in Knowledge Transfer contracts and collaborations with companies and public authorities to bring actionable knowledge insights through public participation. He has curated 14 award winning exhibitions and projects within the intersection of arts, science, and technology. He is of the founding members of the European Citizen Science Association. He is the UB representative at the League of European Research Universities at the Participatory Engagement working group. He also founded and coordinated the Barcelona Citizen Science Office (2013-2018), an initiative of the Barcelona City Council.

  • 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

    Principal Researcher at CENTAI

    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

  • Raffaello Potestio

    Associate professor at University of Trento

    I graduated in Physics from the University of Rome La Sapienza in 2006, with a Master Thesis on Lattice Quantum Chromodynamics under the supervision of G. Martinelli. In the same year I enrolled in a PhD course in Statistical Physics at the International School for Advanced Studies (SISSA-ISAS) in Trieste, Italy. In 2010 I defended my PhD Thesis on Coarse-grained models of protein structure and interactions, supervised by C. Micheletti. In November 2010 I joined K. Kremer’s group at Max Planck Institute for Polymer research in Mainz, Germany as a postdoc. Between August 2013 and December 2017 I have been Project Leader of the Statistical Mechanics of BioMolecules group. Between January 2018 and December 2020 I have been tenure track assistant professor (RTD-B) at the University of Trento, Italy, where I now serve as associate professor. I am PI of the VARIAMOLS ERC StG project and the HAMMOCK FARE project.

  • John Pougué-Biyong

    PhD student at University of Oxford

  • Adarsh Prabhakaran

    at The University of Edinburgh

  • Giulia Pullano

    postdoctoral resercher at INSERM

  • 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)

  • Filippo Radicchi

    at Indiana University

    I am an Associate Professor in the Center for Complex Networks and Systems Research in the School of Informatics, Computing, and Engineering at Indiana University. I was a "Ramón y Cajal" senior researcher at university Rovira i Virgili, a postdoctoral researcher in the Amaral Lab at Northwestern University, and a research specialist at ISI Foundation. I have a PhD in Physics from Jacobs University, and a MS in Physics from the university of Rome Tor Vergata. My main areas of research are network science and data analytics.

  • 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.

  • Sebastian Raimondo

    PhD Candidate at University of Trento – Fondazione Bruno Kessler

  • Stephany Rajeh

  • 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.

  • Andreagiovanni Reina

    at Université Libre de Bruxelles

  • 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.

  • Bernard Ricca

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

  • Thomas Robiglio

    MSc. student at Politecnico di Torino

  • 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 Binghamton University (State University of New York)

    Luis M. Rocha is the George J. Klir Professor of Systems Science at the Thomas J. Watson College of Engineering and Applied Science (Department of Systems Science and Industrial Engineering), Binghamton University (State University of New York), where he leads the Complex Adaptive Systems and Computational Intelligence (CASCI) lab. He is also director of the Center for Social and Biomedical Complexity, between Binghamton University and Indiana University, Bloomington. He has been the director of the NSF-NRT Interdisciplinary Training Program in Complex Networks and Systems, and Professor of Informatics in the Luddy School of Informatics, Computing, and Engineering at Indiana University, where he was a member of the advisory council of the Indiana University Network Science Institute, and core faculty of the Cognitive Science Program. Dr. Rocha is a Fulbright Scholar and is Principal Investigator at the Instituto Gulbenkian da Ciencia. He has been a Visiting Professor a the Center for Theoretical Physics at the Aix-Marseille University, France as well as the Neuroscience Program, at the Champalimaud Foundation and the NOVA School of Business and Economics in Portugal. His research is on complex networks & systems, computational & systems biology, and computational intelligence. 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), the Ninth European Conference on Artificial Life (ECAL 2007), and Complex Networks 2019. 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.

  • 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.

  • Jorge P. Rodriguez

    Postdoctoral fellow at IMEDEA (CSIC-UIB)

    Jorge P. Rodríguez is a scientist interested in solving multidisciplinary problems using statistical physics through complex systems approaches. He obtained his degree in Physics in 2013 in Universidad de Valencia. After that, he moved to Palma, in Balearic Islands, where he defined his research in the mobility studies using complex systems approaches, under the scientifically estimulating environment of IFISC (CSIC-UIB, Palma, Spain). His PhD focused both on modelling and data analysis, specifically withing the context of the Marine Megafauna Movement Analytical Program, a collaboration focusing on the challenges raised by the higher availability of telemetry movement data of marine animals. He obtained the PhD in Physics in 2018, and in the same year he finished the Degree in Social and Cultural Anthropology in the Spanish Distance University (UNED). He has worked at ISI Foundation (Turin, Italy) and at BIFI (Zaragoza, Spain). Currently, he is a postdoctoral fellow at IMEDEA (CSIC-UIB, Mallorca, Spain), and he is analysing the global movement of marine animals to quantify the impact of anthropogenic stressors on the marine fauna through the project MegaMove. Additionally, he is a Tutoring Lecturer at the Spanish Distance University (UNED). He is member of the Complex Systems Society Council until 2023.

  • Celine Rozenblat


    "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

  • Andrea Russo

    at University of Catania

    Andrea Russo was born in 1991 in Catania, Italy. He obtained his Master Degree in Innovation Technology, with mark 110/110 cum laude from the University of Grenoble IAE, France, in September 2016. He also achieved a Bachelor Degree in Sociology at University Paul Valery III - Montpellier, France, France, in May 2014. Registered as of Innovation Managers at MISE (Minister of the economic development). He collaborated with CNR Ibam, and also has worked purely on projects involving technology and society, with Confcommercio and as well as other companies in the R&D sector. In November 2019 he started a Ph.D. course in Complex systems at the University of Catania. He is currently working at the Department of Physics and Astronomy, University of Catania. Research activity Andrea Russo's main scientific interests are focused on the study and the development of AI that can provide high communication skills and the analysis of understanding sentiments in cyber world, in particular field like Politics - Economics - Business and Defense-Security sector applications.

  • George Rzevski

    Professor Emeritus at The Open University

  • Onkar Sadekar

    at Central European University

    I am a Ph.D. candidate at the Department of Network and Data Science at the Central European University. I completed my Bachelor and Master in Science majoring in Physics from IISER-Pune, India. My Master's thesis was "Infectious Disease Spread through Indian Transportation Network". I am interested in working on problems of social, political, and economical significance. Network Science, Data Science, and Game theory are a few of the many tools, which I hope to use to approach these problems. In the future, I hope to work on problems concerning human behavior and how individual decisions affect group dynamics. With the firm belief that science is a collaborative activity, I hope to work on important fundamental problems in our society by integrating skills from unconventional sources and coming up with innovative solutions by discussing, debating, exchanging, & consolidating as diverse perspectives as possible. In my free time, I like to read books from diverse genres, listen to instrumental music, and binge-watch Animes and Sitcoms.

  • Marta Sales-Pardo

    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. In 2021 she was elected as a Fellow of the Network Science Society.

  • 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 an econophysics 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.

  • Angel Sánchez

    Professor at Universidad Carlos III de Madrid

  • Maxi San Miguel

    Prof. at Universitat Illes Balears

  • Yukie Sano

    at University of Tsukuba

  • Andrea Santoro

    Postdoctoral Researcher at EPFL

  • Fabio Saracco

    at "Enrico Fermi" Research Center (CREF)

    Fabio Saracco is tenured researcher at "Enrico Fermi" Research Center (CREF), Rome, and Guest Scholar at IMT School of Advanced Studies Lucca (Italy). His research is mainly focused on the information theory approach for the analysis of complex networks and to the application of this framework to different field as the international trade, online social networks and disinformation spreading and epidemics.

  • 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, USA. He also serves as a non-tenured Professor in the School of Commerce at Waseda University, Japan, as well as an External Faculty member of the Vermont Complex Systems Center at the University of Vermont. 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, interactive systems, and complex systems education, among others. He is an expert on mathematical/computational modeling and analysis of various complex systems. He has published more than 200 peer-reviewed journal articles and conference proceedings papers and has written or edited 14 books and conference proceedings about complex systems related topics. His open-access textbook on complex systems modeling and analysis has been downloaded more than 70,000 times globally and has become one of the standard textbooks on this subject. He currently serves as an elected Council and Executive Committee member of the Complex Systems Society (CSS), a Board member of the Network Science Society (NetSci) and the International Society for Artificial Life (ISAL), the Chief Editor of Complexity (Wiley/Hindawi), an Associate Editor of Artificial Life (MIT Press), and as an editorial board member for several other journals.

  • 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.

  • 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.

  • Maxmilian Schich

    ERA Chair holder & Professor for Cultural Data Analytics at Tallinn University

    Maximilian Schich (maximilian@schich.info) currently holds the CUDAN ERA chair as professor for Cultural Data Analytics at Tallinn University (cf. http://cudan.tlu.ee). Max collaborates to understand the nature of cultural interaction via a systematic multidisciplinary combination of quantification, computation, qualitative inquiry, and aesthetics. Ongoing research emerges from and builds on a background in art history, complex network science, computational social science, and an applied experience as a “database pathologist”. The PhD monograph pioneered network analysis in art research, focusing on "antique reception and visual citation". "A Network Framework of Cultural History" in Science Magazine and the Nature video "Charting Culture" made global impact in the press. In recent years, Max has focused on an upcoming book titled Cultural Interaction, which will outline a systematic science of art and culture based on two decades of work.

  • Rossano Schifanella

    Assistant Professor at University of Turin

  • Aleksandar Seizovic

    at USQ

    Aleksandar is currently an Engineers Australia Associate Fellow, and candidate Doctorate in Professional Engineering and USQ Postgraduate Research Scholarship (2021 – 2022). Aleksandar served in Royal Australian Navy Submarine service. Completed Master in Business Administration and Master in Business Laws from Bond University. Aleksandar research topic - Complex Projects Emergent Behaviour Phenomena. There is a difference between system of systems project and traditional projects. For the System of Systems project management, the requirements are emerging. The emergence exists in the project mainly due to the unclear of the project elements that cause the complication. In the search for indicators or that can serve as early warning signs, we need to look at sources describing factors of project success and failure.

  • Luís F Seoane

    Tenured researcher at Spanish National Research Council

  • 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.

  • Snehal Shekatkar

    Assistant Professor at S.P. Pune University

    I am an Assistant Professor (DST-INSPIRE Faculty) at the Dept. of Scientific Computing, Modeling, and Simulation, Savitribai Phule Pune University, Pune, India. I did my Ph.D. from IISER Pune in the field of Nonlinear Dynamics and Complex Networks. My current area of Research is Resource dependencies in Complex Networks. I am open to collaborations so do get in touch!

  • 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.

  • Christel Sirocchi

    PhD Student at University of Urbino

    I am a Ph.D. candidate in Research Methods in Science and Technology at the University of Urbino. I hold a Bachelor degree in Biotechnologies, a Master’s degree in Functional Genomics, and a Bachelor degree in Applied Informatics. My research interests include emergent behaviour, collective intelligence, crowdsensing systems, graph theory and social network analysis.

  • Bohdan Slavko

    PhD student at The University of Sydney

    PhD student at The University of Sydney

  • Kenneth Solis

    at independent

    I'm a retired Emergency physician and bioethicist, who is also active in the discipline and organization of "big history." I work on developing philosophical theories that incorporate the lessons from complexity science (see complexphilosophy.com ) with my first foray being to develop a like ethical theory - which I call "complex-information theory." Also, in big history, which is the term we use for "history of the universe," the primary overarching theme is that of increasing complexity. Hence, I am interested in complexity from at least 2 major perspectives and look forward to attending your conferences, reading your insights, and perhaps even prompting the International Big History Association to become part of your community!

  • Sandro Sousa

    Postdoc at IT University of Copenhagen (ITU)

    Sandro is a computer scientist interested in spatial complexity, random walks on graphs, population dynamics, urban segregation, algorithmic fairness, and the quantification of these phenomena through graphs and data models.

  • 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.

  • Johannes Stangl

    Master's Student at Complexity Science Hub Vienna

    I'm Interested in all things regarding the Green Transition, currently working on the decarbonization of supply networks. Hit me up for a chat or potential collaborations! I studied physics in my undergrad and computational science in my master's degree. I will start a PhD at the Complexity Science Hub Vienna once I'm finished with my master's thesis. I'm also still pursuing a bachelor's degree in philosophy and I am an active organizer in the Fridays For Future and Scientists For Future movement.

  • 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.

  • Matteo Straccamore

  • Samir Suweis

    Associate Professor 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.

  • Kazuhiro Takemoto

    at Kyushu Institute of Technology

  • Szymon Talaga

    PhD student at The Robert Zajonc Institute for Social Studies


  • 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.

  • 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.

  • Stephen Uzzo

    co-Director at Woods Hole Institute

  • Vasileios (Basil) Vachtsevanos

    HPC Admin - Student (post graduate) at Aristotle University of Thessaloniki

    I will soon start my PhD on Neural Networks and Solid State physics. My academic interests include (but are not limited to) Theoretical condensed matter physics, epidemiology, mathematical complexity and applications. I currently work for Aristotle University of Thessaloniki, as an HPC administrator. My bachelor and master degrees were also achieved in the same institute.

  • Eugenio Valdano

    researcher at INSERM

    I was born in Torino, Italy, on February 13 1988. I am a researcher in epidemiology at INSERM (Nat. Inst. of Health and Medical Research), Paris, France. My research focuses on modeling the spread of infectious diseases, and specifically the impact of human (and possibly animal) contact and mobility networks on epidemic risk. Recently, I have been working on the COVID-19 pandemic (mostly in the context of France public health response), HIV/AIDS epidemic in sub-Saharan Africa, and arboviral diseases. Past bio: 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. After that, I moved to the School of Medicine of the University of California Los Angeles (UCLA) for a postdoc. I then came back to France though a French Govt. _Make Our Planet Great Again_ grant, and recently got a permanent research position at INSERM. @eugeValdano

  • 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

  • Alexei Vazquez

    Principal Data Scientist at Nodes & Links

    Dr. Alexei Vazquez is a world-renowned network scientist (100+ papers, 2 books) with a PhD in Statistical and Biological Physics from the International School of Advanced Studies (Italy). He has over 20 years experience at world-leading institutions such as the University of Notre Dame, the Institute for Advanced Study in Princeton, The Cancer Institute of New Jersey and the CRUK Beatson Institute in Glasgow. He is currently working at Nodes & Links, building analytical tools to tame the complexity of project networks.

  • Antoine Vendeville

    PhD student at University College London

    I graduated in mathematics at Sorbonne Université, France in 2015, where I received a Master’s degree in mathematical modelling in 2018. In 2019 I received a Master’s degree in data science from Université Claude Bernard. I am currently pursuing a PhD in the Computer Science department of University College London, where I am part of the Centre for Doctoral Training in Cybersecurity. My work focuses on mathematical models for opinion dynamics and the development of algorithmic methods to control the echo chamber effect on social networks.

  • Daniele Vilone

    Postdoc fellow at Institute of Cognitive Science and Technology, National Research Council (CNR)

    I got my Ph.D. in Theoretical Physics at La Sapienza University in Rome (January 2006). My present research focuses on statistical mechanics of complex systems At the moment, I am studying the emergence of cooperative behaviours in structured populations, the role of gossip and reputation in human relationships, models of cognitive opinion dynamics and problems of shape equilibrium of cell membranes (in collaboration with Alessandro Taloni and Stefano Zapperi from IENI-CNR, Milan) . I am also doing experimental studies of real cognitive networks (in collaboration with Franco Bagnoli and Andrea Guazzini from CSDC - Florence).

  • 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).

  • 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 Los Alamos National Laboratory

    I am currently a post-doc at Plasma Physics and Applied Mathematics group in the Los Alamos Laboratory. Previously I was a post-doc at Scuola Normale Superiore di Pisa, working with prof. Fabrizio Lillo. I got my PhD in Physics 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: spreading processes on networks, 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).

  • 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

    G.Cigdem YALCIN is an Associate Professor in Physics at Istanbul University, Turkiye. She has a B.S in Physics from Istanbul University, and B.S in Business Administration from Anadolu University, M.S in Physics from Istanbul University, and also a M.S in Formation in Science and Mathematics Teaching from Yıldız Technical University, 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 fields from cosmic rays to power grids and environment. She had collaborated with Prof.Dr. Murray Gell-Mann who is Nobel Prize Winner in Physics. She is co-author of research papers in journals including PNAS, Scientific Reports and Nature Communications. She is an academic visitor at the Santa Fe Institute, Queen Mary University of London and Department of Theoretical Physics-CERN for research collaborations. She is the scientific coordinator of the Nonlinear Science Working Group by having the longest history since 2001 on the topic in Turkiye. She is a founder member, Turkiye representative and the coordinator at Asian Network of Complexity Scientists. Recenty she was elected as executive committee member of the Balkan Physical Union, as the Coordinator of International Projects. She is an elected council member of the Complex Systems Society (2019 -2022). She was also co-coordinator of the satellite of the CSS-2018 entitled “Questions and Perspectives in Understanding Complexity via Nonlinearity and Information Theory” and the satellite of the CSS-2020 entitled “Asian Network of Complexity Scientists Meeting 2020”. Also she has worked as an organizing committee member of the CSS-2019 and CSS-2020.

  • Marius E. Yamakou

    Postdoctoral Reseacher at Friedrich-Alexander-Universität Erlangen-Nürnberg

  • 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

    Associate Professor in Systems and Organisation 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.

  • Xiaozhu Zhang

    Associate Professor at Tongji University

  • Yimin Zhou

  • 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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