Paris Workshop on Veridical Data Science 28-29 May 2026
A 1.5 day workshop on Veridical Data Science (VDS) is co-organized in Paris, by Centre Borelli - ENS Paris-Saclay, the Department of Statistics - UC Berkeley, and Trust - the Norwegian Centre for Trustworthy AI.
This workshop at Centre Borelli (ENS Paris-Saclay, Univ. Paris-Saclay, Univ. Paris-Cité, CNRS) in Paris aims at showcasing and promoting veridical (truthful) data science (VDS) towards reproducible and reliable data analysis and decisions. It intends to build a community of VDS researchers in Europe for trustworthy data science and machine learning. The workshop discussions will provide opportunities for statisticians and data scientists to identify important VDS research topics and critical applications in academia and industry. Graduate students and early career researchers will benefit from this workshop to find future research directions.
Previous editions:
Veridical Data Science for Biology | UC Berkeley | July 11th, 2025
Rome workshop | Univ. La Sapienza, Rome | June 20th, 2025
Inaugural Berkeley-Stanford workshop (talk videos available) | UC Berkeley | May 31st, 2024
Call for presentations | here
Registration (free) | here
Organizing committee:
Bin Yu | Department of Statistics - UC Berkeley | USA
Julien Randon-Furling | Centre Borelli - ENS Paris-Saclay | France
Malcolm Langford | TRUST - Norwegian Center for Trustworthy AI | Norway
Arnoldo Frigessi | TRUST - Norwegian Center for Trustworthy AI | Norway
Gérard Biau | LPSM - Sorbonne Université | France