OpenEdition Lab’s first scientific board

OpenEdition Lab, OpenEdition’s research and development programme, now has a scientific advisory board whose mission is to help structure and guide OpenEdition’s R&D activities. The first meeting of this board took place in May.

Copyright: Stillfx

The OpenEdition Lab scientific board is composed of the following members:

Boris Beaude
Professor of Cultures, Societies and Digital Humanities
Chôros Laboratory at the École Polytechnique Fédérale de Lausanne

Patrice Bellot
Professor of Computer Science, Aix-Marseille University
Laboratory of Computer Science and Systems (UMR 7020)   

Guillaume Cabanac
Senior Lecturer and Research Supervisor in Computer Science, Toulouse 3 University
Toulouse Research Institute for Computer Science (UMR 5505)

François-Ronan Dubois
Assistant Researcher in Humanities at the University of Warsaw
Centre for French Civilization and Francophone Studies

Fatiha Idmhand
Professor, University of Poitiers (Arts, Hispanic Literatures)
CRLA-Archivos Laboratory (UMR 8132)

Pierre-Carl Langlais
Postdoctoral researcher in Information and Communication Science
GRIPIC Associate Researcher at the Centre for Applied Literacy and Scientific Studies (CELSA) at Paris-Sorbonne University

Vincent Larivière
Associate Professor, School of Library and Information Science, Université de Montréal

Pierre Mercklé
Professor of Sociology
Pacte Laboratory (UMR 5194)

Camille Paloque-Bergès
Research Engineer
History of Techno-Sciences in Society Laboratory (EA 3716)

Didier Torny
Sociologist, CNRS Research Director
Centre for the Sociology of Innovation, Mines ParisTech (UMR 9217)

The purpose of OpenEdition Lab is to enable the creation of new knowledge, but also to point towards the deployment of innovative services on OpenEdition. Its activities are focused on four priority areas:

  • An open laboratory: Open laboratory data for the benefit of the scientific community
  • Open science and society: Experiments to strengthen the links between open science and society
  • Understanding uses: Quantitative and qualitative research on the ways in which OpenEdition is used
  • Text and data mining : Mining texts and data for new services and new knowledge

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