Welcome to the Data Science Colloquium of the ENS.

This colloquium is organized around data sciences in a broad sense with the goal of bringing together researchers with diverse backgrounds (including for instance mathematics, computer science, physics, chemistry and neuroscience) but a common interest in dealing with large scale or high dimensional data.

The colloquium is followed by an open buffet around which participants can meet and discuss collaborations.

These seminars are made possible by the support of the CFM-ENS Chair “Modèles et Sciences des Données”.

You can check the list of the next seminars below and the list of past seminars.

Videos of some of the past seminars are available online.

Organizers

The colloquium is organized by:

• Giulio Biroli (ENS): director ;
• Stéphane Mallat (Collège de France) ;
• Christian Lorenzi (CNRS and ENS) ;
• Gabriel Peyré (CNRS and ENS).
• Bruno Loureiro (CNRS and ENS)

Next seminars

02 May 2024, 12h00-13h00 (Paris time), room Amphi Jaures (29 Rue d'Ulm).
Michael Jordan (UC Berkeley and INRIA Paris)
Title: Collaborative Learning, Information Asymmetries, and Incentives
Abstract: