Open Access Week 2025 EDUC Research

Open Access Week 2025 EDUC Research

Paris Nanterre University is organizing the Open Access Week, which this year will focus on the theme of publications and research data in the age of AI and disinformation.

It will take place from November 3 to 7, 2025 (hybrid format), with two days, November 5 and 6, devoted to research data. 
 

Program

During this event, we want to create a space for discussion in English and French within the Alliance Educ on the risks and opportunities created by the growing presence of artificial intelligence and a culture of misinformation in our scientific and public environment for the opening up of research data today. Here are the planned conferences.
 

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

3 november 2025 (online) - 13H30-16H30, inscription here

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.

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

5 november 2025 (hybrid, room 2, building Max Weber) - 11H-12H, inscription here

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.

05/11/25, 14h-17H, Roundtable discussion on the use of AI in statistical and linguistic algorithms

5 november 2025 (hybrid, room 2, building Max Weber) - 14H-17H, link here

Moderation: 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”

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.

06/11/25, 9H30-11H, Roundtable discussion on research ethics, shared science, and Indigenous data governance in Australia

6 november 2025 (hybrid, room 2, building Max Weber) - 9H30-11H, link here

Moderation: Monica Heintz

- 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" 

This talk explores the question: What is Indigenous Data, and why does it matter? Indigenous data encompasses information relating to Indigenous peoples, their communities, lands, and knowledges, from health and education to cultural heritage and environmental stewardship. At its core, Indigenous Data Governance ensures that Indigenous peoples control and manage data about themselves, that data practices respect culture and knowledge, and that information is used for collective benefit. Grounded in Indigenous Data Sovereignty, this approach safeguards self-determination, prevents misuse, and builds trust between researchers and communities. The talk will also examine how the CARE Principles (Collective benefit, Authority to control, Responsibility, and Ethics) complement the FAIR Principles of open science, creating a framework for culturally grounded, ethical, and transparent research. Ultimately, it asks how researchers and institutions can move beyond compliance to true accountability and partnership in data stewardship.

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, 13h30-15H30, 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

Modération: Monica Heintz

- Camille Darche est doctorante en anthropologie au LESC (Laboratoire d'ethnologie et de sociologie comparative, CNRS). Sa thèse raconte la naissance d’un comité d’éthique « consultatif » et « national » dédié au numérique - le CNPEN - sur le modèle bioéthique français du CCNE. Grâce à un terrain de plus de deux ans ouvert juste avant que ce comité ne prenne forme, elle raconte le travail quotidien de ses membres pour dessiner cette nouvelle éthique du numérique française et tente d'en décrypter les enjeux. 

- Grégoire Bienvenu est maître de conférence en Communication internationale au département LEA de l'université Paris Nanterre. Il a rédigé sa thèse de doctorat entre Paris et Pékin et mène des recherches sur les cultures populaires et contemporaines chinoises. Navigant entre le monde universitaire français et chinois, il a également mené des réflexions sur l'éthique et les pratiques de piraterie académiques ainsi que sur les enjeux liés à la généralisation de l'IA aux quatre coins du monde. A ce sujet, il se pose d'ailleurs encore un milliard de questions.

- Nicolas Bontemps [biographie à venir]

EDUC partners

To know more about the EDUC European university alliance.

-          University of Cagliari (Italy)
-          University of Rennes (France)
-          University of Masaryk (Czech Republic)
-          University of Pecs (Hungary)
-          University of South-Eastern (Norway)
-          University of Jaume 1 (Spain)
-          University of Potsdam (Germany)