Democratic Commons:

Bernard Reber is a French-Swiss moral and political philosopher, Research Director at the CNRS, and member of the Political Research Centre of Sciences Po. For nearly 30 years, he has been working on the theoretical and practical dimensions of democratic deliberation from various angles, including participatory technology assessment, innovation and responsible research (RRI), and more broadly, the articulation between ethical and political deliberation. He has approached these issues from a variety of perspectives, including roles such as analyst (e.g., the French Citizens' Convention for the Climate), organizer, and guarantor (e.g., the French Citizens' Convention on the End of Life). In addition, he has provided advisory services to prominent entities, including the French Prime Minister, the Conseil d'État, the Cour des Comptes, and the European Commission. His latest book, Responsible Deliberation: Between Conversation and Consideration. Conditions for a Great Democratic Debate, offers a comprehensive exploration of these themes. New York, Wiley, 2023. For a more accessible approach to the general public, see TEDx "Deliberating with Multiple "selves"". He is Director of the ISTE-Wiley collections (French and English) Interdisciplinarity, Sciences and Humanities, responsible for the humanities and social sciences in the Encyclopaedia Sciences, and Co-Director of the Sociology, Ethics and Epistemology of Sciences Field (29 volumes).

Jean-Philippe is a Professor at Sciences Po and researcher at the médialab, where he designs innovative computational sociology methods. He is specialized in text and network analysis, and is working on various kinds of corpora and sources questioning their socio-political dynamics. His research areas are diverse, ranging from (social) media analysis to science of science or political dynamics analyses. He holds a PhD in Complex Systems and was trained as an engineer at Ecole Polytechnique. He is also affiliated with the research center INCITE, from Columbia University. He defended his habilitation in Social Sciences at ENS in 2017. Jean-Philippe Cointet is the director of the Open Institute for Digital Transformations at Sciences Po, which coordinates the university’s work on digital technology. Currently, Jean-Philippe is working on the following projects: Democratic Commons (on ethical AI for resilient democracies), PostGenAI@Paris Cluster (an international center of excellence dedicated to post-generative AI), SoMe4Dem (on understanding causal mechanisms of digital citizenship), FUTURE-OBS (multi-scale and multi-disciplinary observations of socio-ecosystems in marine areas), DOSA (a digital observatory of social dimensions of antimicrobial resistance).

François Yvon is a CNRS senior researcher working in the MLIA team at the Institute of Intelligent Systems and Robotics (ISIR - CNRS/Sorbonne Université). In 1996 he obtained a computer science PhD from the ENST where he was recruited as a senior lecturer in the computer science and networks department. In 2007 he was appointed as full professor of computer science at Université Paris-Sud and also joined the LIMSI-CNRS (now the Interdisciplinary Laboratory of Digital Sciences, LISN - CNRS/Paris-Saclay University) in Orsay where he developped machine translation activities in the 'Traitement du langage parlé' team. He joined the CNRS while he was the director of the LIMSI (2013-2019) and then moved to ISIR in July 2023. His research covers a broad range of topics in natural language processing - from computational morphology to text mining and structured learning methods. Currently his work focuses on machine translation and on large multilingual language models.

https://fyvo.github.io/

Gaël Lejeune is an associate professor in Sorbonne Université, specialized in natural language processing (NLP). His research focuses on the robustness of NLP systems tp variation in data: linguistic variation (languages, text genres, diachrony ...) and quality variation (data obtained via web scraping, OCR or ASR).

Benjamin Piwowarski is a CNRS Research Director at ISIR (Sorbonne University). His research focuses on information retrieval (e.g., Google-like systems), natural language processing (document summarization, information extraction), and applied statistical learning, particularly representation learning (Deep Learning). His career trajectory includes work on information retrieval with structured documents (PhD 1999-2003), XML databases (postdoctoral research 2004-06 at the University of Chile), analysis of user-search engine interactions (Yahoo! 2006-08), and application of quantum physics mathematical formalism to information access models (2008-11). His current research interests center on text and knowledge representation using Deep Learning approaches, with applications in developing models for human-machine dialogue-based information retrieval and text generation (e.g., synthesizing tabular content into textual form).