Universitat Rovira i VirgiliShow/hide CV
Professor Alex Arenas (Barcelona, 1969) got his PhD in Physics from University of Barcelona in 1996. He has successively been visiting research fellow at UC Berkeley and Lawrence Berkeley Lab, Berkeley (USA). He is currently Full Professor at URV (Tarragona, Spain). He is Editor of the international journal Physical Review E since 2010, in the area of interdisciplinary physics. He is also Editor of the Journal of Complex Networks and member of the executive committee of the Complex Systems Society. His work is focussed on the structure and dynamics of complex systems.
Centre de Recerca Mathematica BarcelonaShow/hide CV
E-mail: acorral (at) crm.cat
Alvaro Corral is a researcher at the Centre de Recerca Matematica (Barcelona), where he leads the Complex-Systems Group. He is also a member of the Barcelona Graduate School of Mathematics and the network complexitat.cat, and is associated to the Mathematics Department of the Universitat Autonoma de Barcelona.
The research of Alvaro and co-authors has been addressed to describe, model, and try to predict the behavior of complex systems, paying special attention to natural hazards (earthquakes, hurricanes, rainfall, etc) and communication systems (human language, music, etc), as well as to the necessary statistical tools. The results of this research have been published in physics, geophysics, geology, and multidisciplinary-science journals, and have been communicated to society through newspapers, radio, TV, and the Internet. Alvaro is also very interested in the training of young researchers, having organized several summer schools in recent years. Previously, he was a predoctoral researcher in physics and the University of Barcelona, a postdoc at the Niels Bohr Institute (Copenhagen), a lecturer at the Universitat Politecnica de Catalunya, a Ramon-y-Cajal fellow, and Lorenz Lecturer of the 2011 American Geophysical Union’s Fall Meeting.
Carnegie Mellon University and Santa Fe InstituteShow/hide CV
E-mail: sdedeo (@) andrew.cmu.edu
Simon DeDeo joined CSH’s External Faculty in 2017. He is also an assistant professor of Social and Decision Sciences at Carnegie Mellon University, and external faculty at the Santa Fe Institute. He leads the Laboratory for Social Minds, whose collaborative work appears in journals ranging from Physical Review and Journal of the Royal Society Interface to Cognition and PLoS Computational Biology.
Tiziana Di Matteo
King’s College LondonShow/hide CV
E-mail: tiziana.di_matteo (at) kcl.ac.uk
A trained physicist, Tiziana Di Matteo took her degree and PhD from the University of Salerno in Italy before assuming research roles at universities in Australia and Britain. She works in the Department of Mathematics at King’s College London in econophysics, complex 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 co-editor in chief for the Journal of Network Theory in Finance and editor of the European Physical Journal B, editor of Quantitative Finance Letters and guest editor of several other volumes. She has been consultant for the Financial Services Authority and several hedge funds.
J. Doyne Farmer
Oxford UniversityShow/hide CV
E-mail: doyne.farmer (at) maths.ox.ac.uk
J. Doyne Farmer, Co-Director, Complexity Economics, The Institute for New Economic Thinking at the Oxford Martin School, University of Oxford
J. Doyne Farmer is Director of the Complexity Economics program at the Institute for New Economic Thinking at the Oxford Martin School, Professor in the Mathematical Institute at the University of Oxford, and an External Professor at the Santa Fe Institute.
His current research is in economics, including agent-based modeling, financial instability and technological progress. He was a founder of Prediction Company, a quantitative automated trading firm that was sold to the United Bank of Switzerland in 2006. His past research includes complex systems, dynamical systems theory, time series analysis and theoretical biology.
During the eighties he was an Oppenheimer Fellow and the founder of the Complex Systems Group at Los Alamos National Laboratory. While a graduate student in the 70’s he build the first wearable digital computer, which was successfully used to predict the game of roulette.
ETH ZurichShow/hide CV
E-mail: dirk.helbing (at) gess.ethz.ch
Dirk Helbing is professor of Computational Social Science at the Department of Humanities, Social and Political Sciences at ETH Zurich. He is coordinator of the FuturICT Initiative and he is an elected member of the prestigious German Academy of Sciences Leopoldina. In 2014 he received an honorary PhD from Delft University of Technology. He is affiliate professor at the Faculty of Technology, Policy and Management at TU Delft, where he leads the PhD school in Engineering Social Technologies for a Responsible Digital Future.
University of BristolShow/hide CV
E-mail: S.J.Hogan (at) bristol.ac.uk
John Hogan, Professor, Bristol Center for Complexity Sciences, University of Bristol
John Hogan is a professor of Applied Mathematics and leader of the "Applied Nonlinear Mathematics Group" in the Department of Engineering Mathematics, University of Bristol. He is known for his work in dynamics of piecewise linear systems and earthquake applications, nonlinear waves, liquid crystal dynamics, and mathematical modelling in medicine.
Imperial College LondonShow/hide CV
E-mail: h.jensen (at) imperial.ac.uk
Henrik Jeldtoft Jensen is a professor of mathematical physics and leader of the Centre for Complexity Science at Imperial College London. He works on the statistical mechanics of complex systems. He has worked on the dynamical properties of condensed matter systems and developed the tangled nature model of evolving ecosystems, which is currently used to develop the tangled finance approach. His two books on complexity science Self-organized Criticality and Stochastic Dynamics of Complex Systems (with Paolo Sibani) have attracted very broad interest. Henrik Jensen has more recently worked on brain dynamics and structure by analyzing fMRI and EEG data, beside of various research projects in evolutionary ecology and finance and economics.
Institute for Systems Biology, Seattle WAShow/hide CV
Stuart Kauffman was educated at Dartmouth College, Oxford and University of California Medical School, receiving his M.D in 1968. At that time he developed Random Boolean Networks as a first model of complex genetic regulatory networks, and proposed that cell types correspond to dynamical attractors in such networks. In 1971 he proposed that molecular reproduction arises due to the spontaneous formation of collectively autocatalytic set. He has published five books: The Origins of Order, At Home in the Universe, Investigations, Reinventing the Sacred, and Humanity in a Creative Universe. His honors include a MacArthur Fellowship, the Gold Medal of the Accademia dei Lincei, and a fellowship of the Royal Society of Canada.
Central European University BudapestShow/hide CV
E-mail: kertesz (at) phy.bme.hu
János Kertész (Dr. rer. nat. Eötvös University) obtained fellowships from the Hungarian Academy of Sciences, DAAD and the Humboldt Foundation. He was postdoc at the University of Cologne and TU Munich, and researcher at the Institute of Technical Physics in Budapest. Since 1991 he has been professor at the Budapest University of Technology and Economics (now part time), since 2012 at the Center for Network Science of the Central European University. He is elected member of the Hungarian Academy of Sciences. His main interest is in interdisciplinary applications of statistical physics.
Parmenides Foundation, Pullach b. MünchenShow/hide CV
E-mail: imrekondor2 (at) gmail.com
Imre Kondor is a retired professor of physics, honorary professor of finance at Corvinus University, Budapest, and professor at the Parmenides Foundation. Before retiring, he was a professor of physics from 1989 to 2011 at Eötvös University, Budapest; 2002-2010 permanent fellow, 2002-2008 rector of Collegium Budapest – Institute of Advanced Study. He obtained his MSc from Eötvös University (1966), the CSc (1984) and DSc (1988) degrees from the Hungarian Academy of Sciences. His research experience includes the theory of condensed Bose systems, critical phenomena, disordered systems and spin glasses, and, presently, the application of statistical physics methods to problems in economics and finance.
Santa Fe InstituteShow/hide CV
E-mail: dk (at) santafe.edu
David Krakauer, President and William H. Miller Professor of Complex Systems, Santa Fe Institute
David Krakauer is President and William H. Miller Professor of Complex Systems at the Santa Fe Institute.
David’s research explores the evolution of intelligence on earth. This includes studying the evolution of genetic, neural, linguistic, social and cultural mechanisms supporting memory and information processing, and exploring their generalities.
At each level David asks how information is acquired, stored, transmitted, robustly encoded, and processed. This work is undertaken through the use of empirically supported computational and mathematical models.
David served as the founding Director of the Wisconsin Institute for Discovery, the Co-Director of the Center for Complexity and Collective Computation, and was Professor of mathematical genetics at the University of Wisconsin, Madison.
David has previously served as chair of the faculty and a resident professor and external professor at the Santa Fe Institute.
David has been a visiting fellow at the Genomics Frontiers Institute at the University of Pennsylvania, a Sage Fellow at the Sage Center for the Study of the Mind at the University of Santa Barbara, a long-term Fellow of the Institute for Advanced Study in Princeton, and visiting Professor of Evolution at Princeton University.
In 2012 Dr. Krakauer was included in the Wired Magazine Smart List as one of 50 people "who will change the World."
In 2016 Krakauer was included in Entrepreneur Magazine’s visionary Leaders advancing global research and business.
Technical University of MunichShow/hide CV
E-mail: ckuehn (at) ma.tum.de
The research interests of Christian Kühn (b. 1981) lie at the interface of differential equations, dynamical systems and mathematical modelling. A key goal is to analyze multiscale problems and the effect of noise/uncertainty in various classes of ordinary, partial, and stochastic differential equations as well as in adaptive networks. The phenomena of central interest are: patterns, bifurcations and scaling laws. On a technical level, Kühn's work aims to build bridges between different areas of the study of dynamical systems.
After studying mathematics at Jacobs University Bremen (BSc 2005) and at the University of Cambridge (M.A.St. 2006), Kuehn received his PhD in Applied Mathematics from Cornell University in 2010. Subsequently he worked at the Max Planck Institute for the Physics of Complex Systems in Dresden as a postdoctoral researcher in the field of network dynamics. From 2011 to 2016 he was postdoctoral fellow at Vienna University of Technology in the Institute for Analysis and Scientific Computing and a Leibniz fellow at MFO in 2013. He joined TU Munich as an assistant professor in 2016. Since 2017 Christian is member of the External Faculty of CSH.
University of NamurShow/hide CV
E-mail: renaud.lambiotte (at) unamur.be
Renaud Lambiotte is professor in the Department of Mathematics at the University of Namur, and director of the Namur Center for Complex Systems. He received his PhD in theoretical physics from Université libre de Bruxelles in 2004, and has been a Research Associate at ENS Lyon, Université de Liège, Université catholique de Louvain and Imperial College London. His research interests include network science, data mining, stochastic processes, social dynamics and neuroimaging. He has published around 70 peer-reviewed articles, including two PNAS and two Nature Communications, with a total of around 8000 citations. He is also the co-founder of L’Arbre de Diane, a publishing company at the interface between science and literature.
J. Stephen Lansing
Nanyang Technological University SingaporeShow/hide CV
E-mail: jlansing (at) ntu.edu.sg
Professor J. Stephen Lansing co-directs the Complexity Institute, as well as is the Faculty Associate Chair for Asian School of the Environment at Nanyang Technological University in Singapore. He is also an external professor at the Santa Fe Institute, an emeritus professor of anthropology at the University of Arizona, and a senior research fellow at the Stockholm Resilience Centre. Before moving to Arizona in 1998, Lansing held joint appointments at the University of Michigan in the School of Natural Resources & Environment and the Department of Anthropology, and earlier chaired the anthropology department of the University of Southern California.
Queen Mary University LondonShow/hide CV
E-mail: v.latora (at) qmul.ac.uk
Vito Latora is chair of complex systems and head of the Complex Systems and Networks Group at the School of Mathematical Sciences of Queen Mary University of London. Vito studies the structure and the dynamics of complex systems using his background as theoretical physicist and methods of statistical physics and nonlinear dynamics to look into biological problems, model social systems, and design complex networks. He is currently interested in the mathematics of multiplex networks, and is working with neuroscientists and urban designers to understand the growth of networks as diverse as the human brain or the infrastructures of a city.
Arizona State University & Santa Fe InstituteShow/hide CV
E-mail: Manfred.Laubichler (at) asu.edu
Manfred Laubichler is President’s Professor of Theoretical Biology and History of Biology at Arizona State University.
At ASU he serves as director of the ASU-Santa Fe Institute (SFI) Center for Biosocial Complex Systems and Associate Director of the Origins Project. He also leads the international collaboration with Leuphana University in Lüneburg, Germany as director of the ASU-Leuphana Center for Global Sustainability and Cultural Transformation.
Besides his appointments at ASU, Laubichler is an External Professor at the Santa Fe Institute and at the KLI: An Institute for Advanced Study in Natural Complex Systems in Klosterneuburg, Austria; A Visting Scholar at the Max Planck Institute for the History of Science in Berlin, Germany; and an Adjunct Scientist at the Marinbe Biological Laboratory in Woods Hole, MA.
He is an elected Fellow of the American Association for the Advancement of Science and a past fellow at the Wissenschaftskolleg zu Berlin.
He is an editor of Theory in Biosciences; associate editor of Biological Theory and serves on the editorial boards of the Journal of Experimental Zoology, Part B: Molecular and Developmental Evolution, Archive for the History of the Exact Sciences, Archimedes, and the Max Planck Research Library.
His undergraduate training was in zoology, philosophy and mathematics at the University of Vienna (Austria) and his graduate training was in biology at Yale and in History/History of Science at Princeton.
Main Research Areas are:
- "Developmental Evolution", focusing on the role of gene regulatory networks in understanding phenotypic evolution and the origin of evolutionary innovations
- Theoretical Biology, focusing on the conceptual structure of 21st century biology
- the Theory of Complex Adaptive Systems, focusing on complexity as a unifying principle in the social and life sciences, including Biomedicine
- Computational History of Science, applying computational methods and big data approaches to the dynamics of knowledge systems
- History of 20 and 21st century Life Sciences
Università degli Studi di Palermo & Central European University BudapestShow/hide CV
E-mail: rosario.mantegna (at) unipa.it
Rosario N. Mantegna is professor at Palermo University, visiting professor at the Central European University, and honorary professor at University College London. Since 2017 he is also 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. 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.
Head of Cosnet Lab, University of ZaragozaShow/hide CV
E-mail: yamir.moreno (at) gmail.com
Professor Yamir Moreno (Havana City, 1970) got his PhD in physics (Summa Cum Laude, 2000) from University of Zaragoza. Shortly afterwards, 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 with the Department of Theoretical Physics of the Faculty of Sciences, University of Zaragoza. He is the deputy director of the Institute for Bio-computation and Physics of Complex Systems (BIFI) and member of its government board and steering committee. Yamir Moreno’s research interests include 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 of TB (Tuberculosis), the study of more complex and realistic scenarios for the modeling of infectious diseases, synchronization phenomena, the emergence of collective behavior in biological and social environments, the development of new optimization data algorithms and the structure and dynamics of multilayer complex systems.
Yamir Moreno has published more than 165 scientific papers in international peer-reviewed journals and his research works have collected more than 11600 citations with an h-index=44 (ISI WoK; 20000+ and 54, respectively, from Google Scholar). At present, he is a divisional associate editor of Physical Review Letters, a member of the editorial boards of Scientific Reports, Applied Network Science and Journal of Complex Networks, and academic editor of PLoS ONE. Professor Moreno is the elected President of the Complex Systems Society (CSS) 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, Vancouver, Canada. He is a Fellow of the Institute for Scientific Interchange Foundation (ISI), Turin, Italy since 2013.
University of Maribor, SloveniaShow/hide CV
E-mail: matjaz.perc (at) uni-mb.si
Matjaž Perc is professor of Physics at the University of Maribor and director of the Complex Systems Center Maribor. He is member of Academia Europaea and the European Academy of Sciences and Arts, and he was among top 1% most cited physicists according to Thomson Reuters Highly Cited Researchers in 2014 and 2015. He received the Zois Certificate of Recognition for outstanding research achievements in theoretical physics in 2009 and the Young Scientist Award for Socio-and Econophysics in 2015. His research on complex systems covers evolutionary game theory, social physics, large-scale data analysis, and network science, and has been covered by Nature News, New Scientist, MIT Technology Review, Inside Science, Boston Globe, Fox News, Chemistry World, Phys.org, Physics Today, Science News, and APS Physics.
Sapienza University of RomeShow/hide CV
Luciano Pietronero studied physics in Rome and was a research scientist at Xerox Research in Webster (1974) and Brown Boveri Research Center (CH) 1975-1983. He then moved to University of Groningen (NL), where he was professor of Condensed Matter Theory (1983-87). Since 1987 he is professor of Physics at the University of Rome ‘Sapienza’. Luciano was also founder and director of the Institute for Complex Systems of CNR (2004-2014). He has a broad international experience in academic and industrial environments. The scientific activity is of both fundamental and applied nature, with a problem oriented interdisciplinary perspective. Development of novel and original views in all areas of activity. Leader of a generation of young scientists who are protagonists of the complexity scene internationally.
In 2008 he received the Fermi Prize (highest award of the Italian Physical Society). Research interests include Condensed Matter Theory, High-temperature Superconductivity; Statistical Physics; Fractal Growth; Self-Organized-Criticality; Complex Systems and its interdisciplinary applications. Recently Luciano has been active in Economic Complexity.
University of CataniaShow/hide CV
E-mail: andrea.rapisarda (at) ct.infn.it
Andrea Rapisarda is professor of theoretical physics at the University of Catania, Italy. He is also coordinator of a PhD course in Complex systems for Physical, Socio-economic and Life Sciences. He is coauthor of more than 120 publications in international journals and member of the editorial board of Physica A, Heliyon, Cogent Physics, International Journal of Statistical Mechanics. His main interests of research are statistical mechanics, complex networks and multi-agent models applied to socio-economic systems.
Maxi San Miguel
IFISC (CSIC-UIB), Palma de MallorcaShow/hide CV
E-mail: maxi (at) ifisc.uib-csic.es
Maxi San Miguel (PhD in Theoretical Physics, University of Barcelona 1978) is Professor of Physics at the University of the Balearic Islands (since 1986) and Director of IFISC (Institute for Cross-Disciplinary Physics and Complex Systems, CSIC-UIB), Palma de Mallorca, Spain. His academic career includes positions at University of Barcelona, Temple University (Philadelphia, PA, USA), Università di Roma La Sapienza, University of Arizona (Tucson, AZ, USA), University of Strathclyde (Glasgow) and University of Technology of Helsinki.
His research activity spans across different fields of statistical and nonlinear physics (stochastic processes, phase transitions, pattern formation and spatio-temporal complexity, complex networks) and computational social science, as well as laser physics and photonics. He is the author of over 400 papers in top journals of physics, engineering, ecology, social science and multidisciplinary science. He received the Medal of the Spanish Physical Society-Fundacion BBVA in 2010 and the Senior Scientific Award 2015 of the Complex Systems Society.
ETH ZurichShow/hide CV
E-mail: schmitt (at) arch.ethz.ch
Gerhard Schmitt, ETH Zurich, Chair of Information Architecture, Singapore ETH Centre Senior Vice President ETH Global
Gerhard Schmitt is Professor of Information Architecture at ETH Zurich, Lead PI of the ETH Future Cities Responsive Cities Scenario, Founding Director of the Singapore-ETH Centre in Singapore, and ETH Zurich Senior Vice President for ETH Global.
Gerhard Schmitt holds a Dipl.-Ing. and a Dr.-Ing. degree of the Technical University of Munich, TUM, and a Master of Architecture from the University of California, Berkeley. His research focuses on urban metabolism with the associated emissions, Smart Cities and linking Big Data with urban design, urban models, simulation and visualization. He and his team developed and taught the first Massive Open Online Courses on Future Cities and Liveable Cities.
From 1998-2008 he served as Vice President for Planning and Logistics and Member of the Board of ETH Zurich. He directed the development of ETH’s strategy and planning in cooperation with the 16 scientific departments. From 1984 to 1988 he conducted CAAD research and teaching at Carnegie Mellon University. He joined ETH Zürich in 1988. He was Visiting Professor at Harvard GSD, at the Katholieke Universiteit Leuven, the Technical University of Denmark and at the Technical University of Delft. From 2004-2007 he chaired the Visiting Committee of the Graduate School of Design at Harvard University. Gerhard Schmitt initiated and conceptualized the sustainable ETH Science City Campus in Zürich and received for this work the 2010 European Culture of Science award.
Central European UniversityShow/hide CV
E-mail: sinatrar (at) ceu.edu
Roberta Sinatra is an Assistant Professor at the Center for Network Science and at the Department of Mathematics, Central European University (Budapest, Hungary), a visiting Faculty at the Network Science Institute, Northeastern University (Boston, MA, USA) and member of the External Faculty at the Complexity Science Hub (Vienna, Austria). She is a theoretical physicist by training, working at the forefront of network and data science, developing novel theoretical methods and analyzing empirical data sets on social phenomena and human behavior. Her research projects span topics as diverse as random walks and human mobility on networks, to quantifying human behavior during cooperative games by EEG measurements. Currently, she spends particular attention on Science of Science and on the analysis and the modeling of information and dynamics that lead to the collective phenomenon of success.
Roberta completed her undergraduate and graduate studies in Physics at the University of Catania, Italy, and spent time as a visiting research student at the University of Zaragoza (Spain), at the Imperial College and at the Queen Mary college in London (UK), and at the Medical University of Vienna (Austria). In 2012 she joined the BarabasiLab in Boston, where she was first Postdoctoral Fellow until 2014 and then Research Assistant Professor. At the BarabasiLab, Roberta lead the group working on science of success. She has won several awards and grants, in particular a 3-year fellowship for post-doctoral studies in complex systems by the James S. McDonnell Foundation and a grant from the AirForce for the study of scientific success.
Peter M.A. Sloot
Institute for Advanced Study Amsterdam & NTU SingaporeShow/hide CV
E-mail: p.m.a.sloot (at) uva.nl
Peter Sloot, Professor of Computational Science, UvA, Amsterdam, NL. Professor of Complex Systems, NTU, Singapore Co-Director Complexity Institute, NTU, Singapore Professor of Advanced Computing, ITMO, St. Petersburg, Russian Federation
Professor Peter M. A Sloot is distinguished research professor at the University of Amsterdam and a full professor and co-director of the Complexity Institute in NTU, Singapore. He is a laureate of the Russian Leading Scientist president’s program and has been the PI of many international research programs on complex systems, like www.virolab.org and www.dynanets.org. He is editor in chief of two highly ranked Elsevier Science journals. He has published over 450 research papers. His work is covered in international media such as newspapers, interviews and documentaries. Peter Sloot is also the Lead for the technology program in Health Systems Complexity of the Nanyang Institute of Technology in Health and Medicine.
Catalan Institute for Research and Advanced Studies & Santa Fe InstituteShow/hide CV
E-mail: ricard.sole (at) upf.edu
Ricard Solé is ICREA research professor (the Catalan Institute for research and Advanced Studies) currently working at the Universitat Pompeu Fabra, where he is the head of the Complex Systems Lab located at the PRBB. He teaches undergraduate courses on Biomathematics, Biological Design, and Complex Diseases. Ricard completed degrees in both Physics and Biology at the University of Barcelona and received his PhD in Physics at the Polytechnic University of Catalonia. He is also External Professor of the Santa Fe Institute (New Mexico, USA), Fellow of the European Centre for Living Technology (Venice, Italy), and external faculty of the Center for Evolution and Cancer at UCSF. He is member of the editorial board of Biology Direct and PLoS ONE. He has received a European Research Council Advanced Grant (ERC 2012) and support from the Fundación Botin.
His current research focuses on understanding the evolutionary origins of complex systems, using both mathematical models and experimental approaches based on synthetic biology. He has proposed the concept of Synthetic Major Transitions as a unifying framework to explore the origins of innovation in evolution using a parallel approach, namely the potential for building or simulating synthetic systems that can recreate past evolutionary events. This includes the origin of protocells, multicellular systems, symbiosis, cognition, and language. Another research area deals with Unstable Evolutionary dynamics, namely the dynamics of biological systems (particularly RNA viruses and cancer) that exhibit a tendency towards high genetic instability as part of their adaptation potential. Moreover, Ricard also introduced the concept of "Terraforming" endangered or human-made ecosystems to avoid catastrophic shifts. The success of this proposal will require the development of a new synthesis involving multiple scales and conceptual frameworks, from synthetic biology and cellular circuits to ecological communities.
ETH ZurichShow/hide CV
E-mail: dsornette (at) ethz.ch
Didier Sornette is professor of Entrepreneurial Risks in the department of Management, Technology and Economics at the Swiss Federal Institute of Technology (ETH Zurich), a professor of finance at the Swiss Finance Institute, and is associate member of the department of Physics and of the department of Earth Sciences at ETH Zurich. He is a founding member of the Risk Center at ETH Zurich since June 2011. He is a PI at the Future Resilient Center a the National University of Singapore and is a specially appointed professor of Tokyo Institute of Technology since Nov. 2016 in the new Institute of Innovative Research.
Professor Sornette's research is based on the hypothesis that most extreme risks (and gains) are ‘dragon-kings’, that is, they almost always result from maturations and drifts towards a critical instability, with measurable precursors either at the technical and/or socio-economic levels. He uses rigorous data-driven mathematical statistical analysis combined with nonlinear multi-variable dynamical models including positive and negative feedbacks to study the predictability and control of crises and extreme events in complex systems, with applications to financial bubbles and crashes, earthquake physics and geophysics, the dynamics of success on social networks and the complex system approach to medicine (immune system, epilepsy and so on) towards the diagnostic of systemic instabilities. In 2008, he launched the Financial Crisis Observatory to test the hypothesis that financial bubbles can be diagnosed in real-time and their termination can be predicted probabilistically. The Financial Crisis Observatory now delivers daily an exhaustive survey of +25k assets worldwide and a summary cockpit of the main positive and negative bubbles developing in all asset classes. Since 2012, him and his group have developed InnovWiki, an original collaborating platform where users can openly collaborate and contribute to various ideas/projects, combined with a prediction market to facilitate quality assessment of various ideas/projects based on a wisdom of the crowd approach, and empowered by a tools repository and data visualisation softwares.
Hungarian Academy of SciencesShow/hide CV
E-mail: michael.szell (at) gmail.com
Michael Szell is research fellow at the Hungarian Academy of Sciences, Centre for Social Sciences, and visiting at Northeastern University, Center for Complex Network Research, at Central European University, Center for Network Science, and at the Complexity Science Hub Vienna. His interdisciplinary background of Mathematics, Computer Science, and Physics is well reflected in his research goals: To quantitatively understand collective behavior and the underlying patterns of our interlinked actions and decisions in a computational social science, involving mining and modeling large-scale data sets of human activity following a complex networks/systems approach. Michael previously held research positions at MIT's Senseable City Lab and at moovel lab, exploring urban mobility and sustainability. His special focus is on urban and online environments and media, in particular he is known for his work on multiplex networks and social dynamics of the players in his massive multiplayer online game "Pardus", www.pardus.at. Michael received his academic degrees in Vienna, Austria (Vienna University of Technology and University of Vienna), studying social networks and dynamics at the Section for Science of Complex Systems, Medical University of Vienna.
Jožef Stefan Institute, LjubljanaShow/hide CV
Bosiljka Tadic is a physicist at the Department of Theoretical Physics of The Jozef Stefan Institute, Ljubljana. Using theoretical and numerical methods, she researches physics of complex systems and networks. Currently, the direction of her research is towards applications of graph theory and methods of statistical physics of cooperative phenomena into new interdisciplinary areas ranging from the emergence of functionality of nano-structured materials in nanoscience, to collective emotional behaviors in social dynamics on the Internet, and the functional brain networks. She graduated in physics (1974) and obtained Ms (1977) and PhD (1980) in theoretical physics from University of Belgrade at the Faculty of Natural Sciences and Mathematics, and has published over 120 works.
National Institute of Science and Technology for Complex Systems, Rio de Janeiro, and Santa Fe InstituteShow/hide CV
Constantino Tsallis is emeritus researcher at the Centro Brasileiro de Pesquisas Fisicas, head of the National Institute of Science and Technology for Complex Systems, and external professor at the Santa Fe Institute. He holds a doctorat d’État ès Sciences Physiques from the University of Paris-Orsay. He is doctor honoris causa from various universities in Latin America and Europe, member of the Brazilian Academy of Sciences, Mexico Prize laureate, and holds the Aristion from the Academy of Athens. He has supervised over forty PhD and master theses, and delivered over one thousand of invited lectures around the world.
University of ConnecticutShow/hide CV
Peter Turchin is a scientist and an author who wants to understand how human societies evolve, and why we see such a staggering degree of inequality in economic performance and effectiveness of governance among nations (see Research Interests). Peter’s approach to answering these questions blends theory building with the analysis of data. He is the founder of a new transdisciplinary field of Cliodynamics, which uses the tools of complexity science and cultural evolution to study the dynamics of historical empires and modern nation-states.
Peter has published two hundred articles, including a dozen in such top journals as Nature, Science, and PNAS (see Academic Publications). His publications are frequently cited and in 2004 he was designated as “Highly Cited Researcher” by ISIHighlyCited.com. Turchin has authored seven books (see Books), including Secular Cycles (with Sergey Nefedov, Princeton, 2009), and War and Peace and War (Penguin, 2005).
Santa Fe InstituteShow/hide CV
E-mail: gbw (at) santafe.edu
Geoffrey West is a theoretical physicist whose primary interests have been in fundamental questions in physics, especially those concerning the elementary particles, their interactions and cosmological implications. West served as SFI president from July 2005 through July 2009. Prior to joining SFI as a distinguished professor in 2003, he was the leader, and founder, of the high energy physics group at Los Alamos National Laboratory, where he is one of only approximately ten senior fellows. Geoffrey West received his BA from Cambridge University in 1961 and his doctorate from Stanford University in 1966, where he returned in 1970 to become a member of the faculty. He has been a member of the External Faculty of CSH since April 2017.
University of BristolShow/hide CV
E-mail: k.wiesner (at) bristol.ac.uk
Karoline Wiesner is Associate Professor in Complexity Sciences at the University of Bristol. She obtained a PhD in physics from Uppsala University in 2004. Interested in the sciences of complexity, she began work on information theoretic representations of complex systems as a postdoc at the Santa Fe Institute and the University of California, Davis. Her work centered around information theoretic representations of quantum dynamical systems. She joined the School of Mathematics at Bristol as Assistant Professor in 2007. Her current research focuses on Shannon’s mathematical theory of communication applied to complex systems. Application areas include proteins, glass formers, and stem cells. Her research includes work on the mathematical and philosophical foundations of complex systems.