Laboratories
Complex Systems Institute of Paris Ile-de-France (ISC-PIF)
www: http://iscpif.fr
ISC-PIF is a CNRS Unit (UPS 3611) whose partners are the main French scientific institutions. ISC-PIF is particularly supported by the Île-de-France region, by virtue of its recognition as a Domain of Major Interest (DIM). It is an interdisciplinary research and training center that promotes the development of French, European and international strategic projects on complex adaptive systems, understood as large networks of elements interacting locally and creating macroscopic collective behavior. The ISCPIF help its partners to pool their resources for the analysis of complex adaptive systems and is in charge of several technological platform in the domains of high performance computing, big data, digital humanities or visualisations. Among others, the platform Gargantext (http://gargantext.org) is pooling resources for large corpora mining and analysis developed under the aGPL3 licence. This platform will integrate the results of the current proposal to foster their dissemination.
Institut d’Histoire et de Philosophie des Sciences et des Techniques (IHPST)
IHPST is the leading French laboratory in philosophy of science, internationally acknowledged; it includes a large part of philosophers of biology, the discipline that includes most of the case studies for EPIQUE. The IHPST initiated numerous reference publications in french and English about general philosophy of science and philosophy of biology (often authored by participants of the project), thereby considering the alternative views of scientific evolution and theory change that are available to philosophers. It has also been produced works on epistemology of computer simulation and the epistemology of big data science that are relevant to the current project. The
IRISA Rennes 1
IRISA is a group specialized in data modeling, data protection and crowdsourcing. They already have publications on semantic and temporal social network analysis [Leprovost et.al. 2012], and (together with the LIP6 partners) on distributed rank computation on large graphs. IRISA will be the main responsible for WP on data modeling, querying and data quality. They will collaborate with LIP6 on issues concerning data provenance and incremental data processing in phylomemetic workflows. The LIP6 Database group has a long experience in large scale, distributed data management and recent publications on distributed clusterbased data processing technologies, graphbased tag recommendation and data provenance and quality. LIP6 will concentrate on largescale data processing issues.
Workpackage leaders
Bernd Amann (LIP6 – coordinator of EPIQUE) obtained a Ph.D degree in Computer Science in 1994. He then was assistant professor at CNAM and since 2004 he is professor at the Université de Pierre et Marie Curie (UPMC) and member of the LIP6 (UMR 7606) laboratory. Since 2013 he is head of the database research group and head of the DAPA department. His research interests are data modeling and
processing with a focus on web data integration, data and text stream processing and serviceoriented data management and provenance. He is coauthor of about 50 articles published in highlevel national and international conferences actively participates in undergraduate and graduate courses about relational databases, semantic web technologies and web data management.
Zoltan Miklos is an associate professor (maitre de conferences HDR) at University of Rennes 1 and he is the head of the DRUID research team at IRISA. Before joining University of Rennes 1, he worked as a postdoctoral researcher at EPFL, in Switzerland (2008-2012). He completed his doctoral studies in 2008 in computer science at University of Oxford. He used to work as a research assistant at the Database and Artificial Intelligence Group, of the Vienna University of Technology, at the Vienna University of Economics and at the Distributed Systems Group at the Vienna University of Technology. He pursued his undergraduate studies at the University ELTE, in Budapest, Hungary. He is a senior member of the ACM. His research interests include data management, data mining, knowledge discovery and artificial intelligence.
David Chavalarias is the director of the Complex Systems Institute of Paris Ile-de-France (ISCPIF http://iscpif.fr) and CNRS Director of Research at CAMS EHESS. He holds a french PhD from the Ecole Polytechnique in cognitive sciences and is graduated from the Ecole Normale Supérieure de Cachan in Mathematics and Computer Sciences. Currently permanent researcher at the National Center for Scientific Research (CNRS) in France, he studies the social cognitive dynamics, both from the modeling and data-mining point of view. His research is strongly
interdisciplinary and includes : quantitative epistemology, information visualization, modeling of the cultural dynamics, sociosemantic networks modeling, scientific discovery processes and cognitive economics. He has been involved in the design of several interfaces for mapping knowledge dynamics from large corpora : academic digital repositories, online media or press.
Philippe Huneman After having worked and published on the constitution of the concept of organism and Kantian metaphysics, he currently investigates philosophical issues in evolutionary theory and ecology, such as the emergence of individuality, the relations between variation and natural selection in evolutionary theory, the role of the concept of organism, and the varieties of explanations in ecology, as well as the history of the modern Synthesis, and of neutral theories in ecology and evolution. He edited seven books on history and philosophy of biology – among them Functions: selection and mechanisms (Synthese Library, Springer, 2012), From groups to individuals. Evolution and emerging individuality (MIT Press, 2013, with F Bouchard), Challenging the Modern synthesis: development, inheritance and adaptation (Oxford UP, 2017, with D. Walsh) – and authored two.
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