Semaine du libre accès 2025 EDUC Recherche

Open Access Week 2025 EDUC Recherche

L'Université Paris Nanterre organise la semaine du libre accès qui sera consacrée cette année au thème des publications et des données de recherche à l'ère de l'IA et de la désinformation. 

Elle se déroulera du 03 au 07 novembre 2025 au bâtiment Weber, avec deux jours, les 05 et 06 novembre, consacrés aux données de recherche. 


 

Programme 

Pendant cette semaine, nous souhaitons créer un espace de discussion en anglais et en français au sein de l'Alliance Educ sur les risques et les opportunités créés par la présence croissante d'intelligences artificielles et d'une culture de la désinformation dans notre environnement scientifique et public pour l'ouverture des données de recherche aujourd'hui. Voici les conférences planifiées.
 

Le 03/11/25, 13H30-16H30, Wébinaire de Cécile Swiatek (UPN), "Understand and define your choices for sharing your research results in an open science ecosystem"

3 novembre 2025 (en ligne) - 13H30-16H30, inscription ici

The scientific, technological, economic and digital environment for researchers has been changing rapidly for several years. The aim of this open science training course is to give you a practical, factual overview of public policies on opening up, sharing and protecting publicly-funded scientific publications and other academic research output at European level. To do this, we will discover the publications ecosystem, and together we will grasp the issues involved in choosing whether to share your scientific research results selectively or in their entirety.

Cecile SWIATEK CASSAFIERES is the University Paris Nanterre Library Director and Open Science Expert with EDUC.

Le 05/11/25, 11H-12H, Wébinaire de Damien Belveze (UR), "Methods and Tools to Make Research Source Code Shareable and Reproducible: A Brief Overview"

5 novembre 2025 (salle séminaire 2 Max Weber) (hybride) - 11H-12H, inscription ici

This presentation focuses on code sharing for replicability: methods and tools for making source code reusable. The researcher will present deterministic environments where randomness is banished as much as possible, using the most transparent methods available.

Damien Belvèze is a librarian at the University of Rennes. He offers training sessions to PhD students on various aspects of Open Science, including publication strategies, research data management, and reproducible editing tools. As a member of the Briton ARDoISE Data Hub, Damien Belvèze assists researchers in writing their Data Management Plans (DMPs) and, within these plans, focuses on the Software Management Plan when a SMP is needed.

Le 05/11/25, 14h-17H, Table ronde autour de l'utilisation de l'IA dans des algorithmes statistiques et linguistiques

5 novembre 2025 (salle séminaire 2 Max Weber) (hybride) - 14H-17H, lien ici

Modération: Justine Noyer

1/ Youcef Djenouri (USN) sur "Disinformation in the Era of large language models: From Theory to Models"
2/ Patrice Bertail (UPN) sur “Biases in statistical Learning and AI”
3/ Autre invité à confirmer

1/ The rise of large language models (LLMs) has revolutionized content generation but also amplified the threat of disinformation at scale. This talk bridges theoretical insights on disinformation with practical modeling approaches, focusing on how LLMs both generate and propagate misleading content. A central theme is the role of uncertainty—how it can be modeled, quantified, and leveraged to improve the detection and mitigation of disinformation. We present recent advances in uncertainty-aware models and discuss how uncertainty quantification can enhance robustness, interpretability, and trust in AI systems designed to combat disinformation.

Dr. Youcef Djenouri is an Associate Professor at University of South-Eastern Norway, and a senior researcher at NORCE (Norwegian Research Center) from 2023. He was a research scientist at SINTEF, and a postdoc researcher at NTNU, and SDU. His research interests include AI, fake news analysis, smart city applications, security and privacy. Dr. Youcef Djenouri published more than 200 research papers in top conferences and journals such as AAMAS, WACV, ICCV, ECCV, ECAI, ICDM, ICDE, ACM KDD, IEEE TIST, IEEE TII, IEEE TCYB, and others. He is also in the list of 2% most outstanding researchers according to Stanford statistics. Dr. Youcef Djenouri is an Associate Editor in IEEE Transactions on Computational Social Systems, Neural Processing Letters, Discover AI journal, and Editorial Board in Applied Intelligence. He also organized workshops in top conferences such as ICDM, KDD, DSAA, and PAKDD.  He also received several grants from ERCIM, and Norwegian Research Council. 

2/ Algorithms are increasingly permeating our daily lives, exemplified by decision-support algorithms (recommendation or scoring algorithms) and autonomous algorithms embedded in intelligent machines (self-driving vehicles). Deployed across numerous sectors and industries for their efficiency, their outcomes are increasingly debated and challenged. In particular, they are accused of being black boxes and leading to discriminatory practices related to gender or ethnic origin. They are even sometimes intentionally biased which can lead to manipulation of opinions.

Patrice Bertail is a professor in mathematics (specialized in probability and statistics) at the University Paris Nanterre, director the the laboratory MODAL'X UMR CNRS 9032, co-director of ISNPS (International Symposium for Non Parametric Statistics). Before, for several years, he worked at INRA(E), on food risk assessment. His field of research spans theoretical aspects in non-parametric statistics, particularly Bootstrap, Markov chains, statistical learning, and AI for dependent data, as well as complex survey sampling, to applied works in economics, nutrition (and food contamination), and insurance. He is the author of 4 books and around 100 papers published in peer-reviewed journals.  He is regularly invited to international conferences and foreign universities, including the UST of Hong Kong, San Diego-UCA, the University of La Habana, and the UNESCO Chair in Benin etc.

Le 06/11/25, 9H30-11H, Table ronde autour de l'éthique dans la recherche, science partagée et gouvernance des données autochtones en Australie

6 novembre 2025 (salle séminaire 2 Max Weber) (hybride) - 9H30-11H, lien ici

- Andrea Clarke (University of Melbourne) sur "Ethics in research in Australia and Indigenous data governance"
- Jessica De Largy Healy (LESC, CNRS), sur "What is shared science : some Australian examples" 

Le 06/11/25, 11h15-12h30, Conférence de Fabrice leonel N'tchatat tounya (UPN), "Données de recherche FAIR, RGPD et réutilisation : concilier ouverture et protection"

6 novembre 2025 (salle séminaire 2 Max Weber) (hybride) - 11H-12H30, lien ici

La recherche, surtout en santé, sciences sociales et humaines, ne peut pas se passer de données personnelles. En ce sens, les données FAIR expriment un impératif scientifique pour accélérer la recherche en rendant les données Faciles à trouver, Accessibles, Interopérables et Réutilisables. Or, le RGPD traduit un impératif légal et éthique qui protège la vie privée des individus. La collision entre ces deux logiques créer une zone de friction, qui invite à s'interroger sur la question de savoir comment rendre des données accessibles et réutilisables sans violer le principe de limitation des finalités du RGPD ? Dans ce contexte, la conciliation s'avère une nécessité pratique.

Fabrice N'Tchatat, docteur en droit privé et sciences criminelles, ATER à l'université Paris Nanterre et membre de la Chaire GoDO (Governing Digital Organizations en français Gouverner l'Organisation Numérique).

Le 06/11/25, 13h30-16H30, Table ronde autour de l'éthique du numérique et de l'IA

6 novembre 2025 (salle séminaire 2 Max Weber) (hybride) - 13H30-16H30, lien ici

[résumé à venir]

- Camille Darche [biographie à venir]
- Grégoire Bienvenu [biographie à venir]
- Nicolas Bontemps [biographie à venir]

Les partenaires EDUC

En savoir plus sur l’alliance d’universités européennes EDUC.

-          Université de Cagliari (Italie)
-          Université de Rennes (France)
-          Université de Masaryk (République Tchèque)
-          Université de Pécs (Hongrie)
-          Université du Sud-Est de Norvège
-          Université de Jaume 1 (Espagne)
-          Université de Potsdam (Allemagne)