External fellows

Alex Arenas

Universitat Rovira i Virgili

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Home-page: http://deim.urv.cat/~alexandre.arenas/

Professor Alex Arenas (Barcelona, 1969) got his PhD in Physics in 1996. In 1995, he got a tenure position at the Department of Computer Science and Mathematics (DEIM) at Universitat Rovira i Virgili, and in 1997 he became associate professor at the same department. In 2000, he was visiting scholar at the Lawrence Berkeley Lab (LBL) in the Applied Mathematics group of Prof. Alexandre Chorin (University of California, Berkeley). After this visit, he started a collaboration with Berkeley, and in 2007 he became visiting researcher of LBL. Arenas has written more than 160 interdisciplinary publications in major peer reviewed journals including Nature, Nature Physics, PNAS, Physics Reports, and Physical Review Letters, which have received more than 9000 citations. He is one of the few Europeans serving as Associate Editors of the most important publication in physics worldwide, the American Physical Society journal ‘Physical Review’. He is in charge of the Complex Networks and Interdisciplinary Physics section of Physical Review E. He got the James Mc Donnell Foundation award for the study of complex systems in 2011. He was also recognized as ICREA Academia-Institució Catalana de Recerca i Estudis Avançats, a catalan award that promotes the most recognized scientists from Catalonia. He serves as Editor for the Journal of Complex Networks, and in Network Neuroscience. He was elected as a member of the Steering Committee of the Complex Systems Society in 2012. He is the leader of the research group ALEPHSYS.

Simon DeDeo

Carnegie Mellon University and Santa Fe Institute

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E-mail: sdedeo (@) andrew.cmu.edu

Home-page: http://santafe.edu/~simon

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 London

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E-mail: tiziana.di_matteo (at) kcl.ac.uk

Home-page: http://www.kcl.ac.uk/nms/depts/mathematics/people/atoz/dimatteot.aspx

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 University

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E-mail: doyne.farmer (at) maths.ox.ac.uk

Home-page: http://www.oxfordmartin.ox.ac.uk/people/407

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.

Dirk Helbing

ETH Zurich

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E-mail: dirk.helbing (at) gess.ethz.ch

Home-page: http://www.coss.ethz.ch/people/helbing.html

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.

Henrik Jensen

Imperial College London

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E-mail: h.jensen (at) imperial.ac.uk

Home-page: https://wwwf.imperial.ac.uk/~hjjens/

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.

Stuart Kauffman

Institute for Systems Biology, Seattle WA

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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.

Janos Kertesz

Central European University Budapest

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E-mail: kertesz (at) phy.bme.hu

Home-page: http://www.phy.bme.hu/~kertesz/

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.

Imre Kondor

Parmenides Foundation, Pullach b. München

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E-mail: imrekondor2 (at) gmail.com

Home-page: https://www.parmenides-foundation.org/people/imre-kondor/

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.

Christian Kuehn

Technical University of Munich

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E-mail: ckuehn (at) ma.tum.de

Home-page: http://www.professoren.tum.de/en/kuehn-christian/

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.

Vito Latora

Queen Mary University London

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E-mail: v.latora (at) qmul.ac.uk

Home-page: http://www.maths.qmul.ac.uk/~latora/

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.

Rosario Mantenga

Università degli Studi di Palermo & Central European University Budapest

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E-mail: rosario.mantegna (at) unipa.it

Home-page: https://people.ceu.edu/rosario-n_mantegna

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.

Yamir Moreno

Head of Cosnet Lab, University of Zaragoza

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Luciano Pietronero

Sapienza University of Rome

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E-mail: luciano.pietronero (at) roma1.infn.it

Home-page: http://www.lucianopietronero.it/

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.

Andrea Rapisarda

University of Catania

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E-mail: andrea.rapisarda (at) ct.infn.it

Home-page: http://www2.dfa.unict.it/home/rapisarda/

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 Mallorca

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E-mail: maxi (at) ifisc.uib-csic.es

Home-page: https://ifisc.uib-csic.es/maxi/

Maxi San Miguel is Professor of Physics at the University of the Balearic Islands and Director of IFISC (Institute for Cross-Disciplinary Physics and Complex Systems), Palma de Mallorca, Spain. His academic career includes positions at University of Barcelona, Temple University (Philadelphia), Sapienza University Rome, University of Arizona, University of Strathclyde (Glasgow), and Helsinki University of Technology. His research activity spans across different fields of Statistical and Nonlinear Physics (Stochastic Processes, Phase Transitions, Pattern Formation and Spatio-temporal Complexity, Complex Networks), Computational Social Science, and Laser Physics and Photonics. He is the author of over 400 papers in top journals of Physics, Engineering, Ecology, Social Science and Multidisciplinary Science.

Roberta Sinatra

Central European University

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E-mail: sinatrar (at) ceu.edu

Home-page: http://www.robertasinatra.com/

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.

Ricard Solé

Catalan Institute for Research and Advanced Studies & Santa Fe Institute

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E-mail: ricard.sole (at) upf.edu

Home-page: http://complex.upf.es/~ricard/Main/RicardSole.html

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.

Didier Sornette

ETH Zurich

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E-mail: dsornette (at) ethz.ch

Home-page: http://www.er.ethz.ch/about-us/people/sornette.html

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.

Michael Szell

Hungarian Academy of Sciences

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E-mail: michael.szell (at) gmail.com

Home-page: http://michael.szell.net/

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.

Bosiljka Tadic

Jožef Stefan Institute, Ljubljana

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Home-page: http://www-f1.ijs.si/~tadic/

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.

Francesca Tria

Sapienza University of Rome

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Constantino Tsallis

National Institute of Science and Technology for Complex Systems, Rio de Janeiro, and Santa Fe Institute

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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.

Karoline Wiesner

University of Bristol

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E-mail: k.wiesner (at) bristol.ac.uk

Home-page: http://karowiesner.weebly.com/

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.