My scientific contributions are centered on mathematical definition of concepts, design of algorithms and their implementation in the field of control theory particularly in viability theory. I have a particular interest in the mathematical formalization of concepts such as resilience and sustainable development.
I am a researcher interested in Probability Theory applied to Ecology and Evolution. I joined IRSTEA in 2015. During the year 2015, I was an academic visiting the Department of Statistics at the University of Oxford. I defended my PhD thesis in the beginning of 2015. My supervisors were Sylvie Méléard (Ecole Polytechnique) and Jean-François Delmas (Ecole des Ponts et Chaussées). I am an Ingénieur des Ponts, des Eaux et de Forêts, and a former undergraduate student of the Ecole Polytechnique.
- geometric-based explanation in decision support systems, robustness and decision in the viability framework
- application to agricultural and food engineering, sustainable development engineering
I am a PhD student at IRSTEA. I work on modeling the spatial dynamics of an invasive clonal plant: the Japanese knotweed. The goal is to find optimal management techniques. The model is written in terms of measure valued stochastic process, solution of a stochastic differential equation. I study the model with mathematical tools (limit in large population) and simulations (I use OpenMOLE software).
My current research activity is related to the integration of the large multi-source and multi-scale brain data. This work concerns the multimodal MRI image processing, its integration with experimental data in genetics and the large bibliographic metadata databases. This work inferred a new model that integrates different types of images in a functional model of information processing by the brain, as well as to a platform “linkrbrain.org” which allows researchers and clinicians to easily connect different types of images and extract new relation graphs.
MACA is a research programme on Autistic cognition, with optimal cognition as its conceptual tool. Its main objectives are to map general cognitive and perceptive abilities of autistic individuals and to propose a taxonomy of autism that would integrate peaks of intellectual abilities. MACA is developed around three major research axes: (i) video games, (ii) Asperger Syndrome for women (iii) the uses of the OMNI (http://musaiques-asso.com/
Key words: Experimental Psychology, Gamification, Cognition, Autism
Computer science researcher working on Politoscope. I study the structure of networks such as the Twitter network for the Politoscope project. The main objective is to detect communities of political activists on Twitter but also, and above all, to track their evolution through time. This allows citizens and journalists to better understand the political organization existing on Twitter. To this end, I use and create graph analysis tools.
Key words: Graph, Community Detection, Temporal Network.
Auditrice en formation au Conservatoire National des Arts et Métiers, Kawtar prépare un Magister sur la Médiation des Sciences et Techniques en société, par le design culturel. Elle met en pratique ses enseignements au sein de l’ISC-PIF pour accompagner l’équipe au déploiement de l’Incubateur de projets de médiation scientifique des systèmes complexes.
Mengxue est étudiante en 3ème année de l’Ecole Centrale Nantes. Elle fait son stage de fin d’études ingénieur à l’Institut pour une durée de 6 mois. Mengxue travaille sur le projet Open Mole pour faire le déploiement automatique et la gestion d’une application multi-utilisateur.
Permanent CNRS researcher at Paris IdF Complex System Institute and at the CAMS (Ecole des Hautes Etudes, CNRS). David Chavalarias has a background in Mathematics and Computer sciences (Ecole Normale Supérieure de Cachan & Agrégation de Mathématiques) and a PhD in Cognitive Sciences (Ecole Polytechnique) with a specialization in social systems modeling. His research concern scientometry, text mining, social dynamics reconstruction and cultural evolution modeling
Hugues Chaté is a CEA engineer, senior scientist and statistical physicist of complex systems. His research focuses on active matter, collective movement, universality and non-equilibrium criticality as well as non-linear dynamics of large chaotic systems. He is the scientific director of ISC-PIF and an associate editor of the Physical Review Letters.
Associate professor at Cergy Pontoise University, she is interested in the study of complexity in Physics as well as in other fields such as Ecology or the Social Sciences, with the tools and the point of view of Physics.
After defending a PhD on experiences of transport in quantum coherent insulators, François Ladieu conducted and devised many experiences in statistical physics, and more particularly in the field of glass transition. He is the research director of the SPHYNX group at CEA Saclay since 2013. http://iramis.cea.fr/spec/SPHYNX/
CNRS Director of research at the Laboratoire d’Informatique de Paris 6 (LIP6), Matthieu Latapy is the head of the Complex Systems Department. He is also the research director of the Modeling of Temporal Interactions research group (MIT) at ISCC. He focuses on the methodology underlying the study of all sorts of large networks: social, technological, biological networks, etc. He is also an expert in the study of interactions by integrating both their structural and temporal nature; as in the case of phone calls, data exchange, contact between individuals, or even financial transactions.
Christophe Lavelle is a biophysicist, researcher at CNRS and co-director of GDR 3536 (Architecture et Dynamique Nucléaires). His research focuses on two research areas: genome organisation and expression on the one hand and science and culinary art on the other hand. He teaches and lectures at a certain number of higher institutions, addressing experts as well as the general public (universités Paris VI/VII, Cergy-Pontoise, Lyon, Lille, Toulouse, école Le Cordon Bleu). He is editor in chief of the Frontiers in Life Science journal.
Director of research at CNRS and director of studies at EHESS, Jean-Pierre Nadal is a member of the Statistical Physics Laboratory at ENS (LPS, UMR8550 CNRS-ENS-UPMC-Univ. Paris Diderot) and of the Center for Analysis and Mathematics applied to the Social Sciences at EHESS (CAMS, UMR8557 CNRS-EHESS). His research interests are computational neurosciences and complex systems in economic and social sciences. He lectures for the master’s programme in cognitive sciences (Cogmaster, ENS-EHESS-Paris Descartes), and for the master’s programme Maths Vision Apprentissage (MVA, ENS de Cachan).
Research Director of Modeling in Integrative Biology Research Group at the Jacques Monod Institute, Khashayar Pakdaman is interested in biological systems through an interdisciplinary perspective that is deeply anchored in interactions between mathematics, computing and biology. He is also responsible of the “Complex Systems” Erasmus Mundus Master’s Degree at the Ecole Polytechnique.
Nathalie Perrot is Director of Research at INRA where she supervises the Malices Team (modeling complex biological and food systems)
Nadine works on phenomenological and theoretical reconstruction of premature embryogenesis of Deuterostome animal models. This integrative approach of morphogenesis and the cellular differenciation underlying the development of the organism is grounded in a quantitative analysis method based on the automated treatment of multimodal and multi-scale imagery in vivo and in toto. These strategies are available on the BioEmergences Platform.
Julien Tailleur is a CNRS researcher with a background in Theoretical Physics and Mathematical Sciences. His research focuses on the emerging properties of complex systems out of thermal equilibrium in general, and on active matter at the interface with the biological world in particular. JT uses a combination of analytical and numerical methods to study how macroscopic properties of complex systems emerge from the microscopic rules of their underlying microscopic constituents. JT is a member of laboratoire Matière et Systèmes Complexes, Université Paris Diderot, where he is the head of the team “Theory of Complex Systems”.
Véronique THOMAS-VASLIN is an immunologist, a CNRS researcher and the head of the network réseau ImmunoComplexiT. Throughout an approach based on integrative immunology, her research focuses on modeling multi-scale dynamics of the immune system, differenciation and lymphocytes selection.
Annick Vigne is a senior lecturer in Economics at the University Panthéon-Assas. Her work focuses on model-based markets, multi-agent modeling and the economy of internet and networks.
Vittoria Colizza is senior researcher at UMPC INSERM; she leads the EPIcx lab working on characterization and modeling of the spread of emerging infectious diseases by integrating methods of complex systems with statistical physics approaches, computational sciences, geographic information systems, and mathematical epidemiology.
Lena Sanders is a geographer and Director of Research at CNRS. She holds a double degree in Statistics (Institut de Statistiques des Universités de Paris – ISUP) and in Geography (Université Paris VII). Her research focuses on the urban system dynamics and the recomposition of the metropolitan space, building on methods of spatial analysis and the theoretical apparatus of complex systems modeling.
José Halloy is Professor of Physics at Université Paris Diderot. His research pertains to the transition from individual capabilities to collective behaviours at different level of living and artificial systems as population of cells, organisms, robots or collections of networked machines. The aim is to understand the design principles and the dynamical properties of such populations that can produce emergent or self-organised properties at the collective level. His current research deals with new forms of collective intelligence in natural and artificial systems.
Nicolas Bredeche is a Professor at Pierre et Marie Curie University (UPMC). He is interested in the mechanisms that allow collective systems, natural and artificial alike, to learn and to adapt in open environments. His research are at the crossroad between computing, biology and robotics.
Paul Bourgine is the honorary director of RNSC, the French National Network of Complex Systems, former director of the CREA laboratory at Ecole Polytechnique, and founder of the Complex Systems Institute, Paris. He is also a co-founder of the CECOIA conferences in economics and artificial intelligence (1986), the ECAL conferences in artificial life (1990), the ECCE conferences in cognitive economics (2004) and the ECCS conferences in complex systems science (2005).
Fields of expertise: cognitive sciences, mathematics and complex systems.
René Doursat (PhD, Habil.) is full Professor of Complex Systems and Deputy Head of the Informatics Research Centre (IRC) at the School of Computing, Mathematics and Digital Technology of Manchester Metropolitan University, UK. An alumnus of the Ecole Normale Supérieure (ENS) in Paris, he completed his PhD in 1991 and a postdoc in neural networks at the Ruhr-Universität Bochum, Germany. René Doursat has 20 years of research and teaching experience in computer science at several academic institutions in Europe and the US.
He is a former director of ISC-PIF, a Research Affiliate of the BioEmergences Lab at CNRS, Paris, and the Secretary of the International Society for Artifical Life (ISAL). He also co-founded and coordinated the European Erasmus Mundus Master’s in Complex Systems Science at Ecole Polytechnique, Paris, where he was a Guest Lecturer for five years.
The main theme of his research is the computational, agent-based modeling and simulation of natural morphogenesis and, conversely, the design of bio-inspired morphogenetic engineering systems. He has published 56 full papers and chapters; co-edited 12 books, proceedings and special issues; created, chaired, and co-organized 20 workshops, conferences and summer schools; and (co)supervised the thesis and research of 22 postdocs, PhD and MSc students.
Site web : renédoursat.free.fr
Modeling and simulation of complex spatial systems using new perspectives in geovisualisation and geosimulation.