Second edition of the IPLESP causal inference workshop.

From June 2 to 4, 2025, the CIPHOD team, in collaboration with the CLEPIVIR and PEPITES teams, organized the second edition of the causal inference seminar at IPLESP (Saint-Antoine campus). The event brought together around thirty participants, mainly doctoral students from Doctoral School 393 and members of the unit, for three days filled with presentations, discussions, and hands-on workshops focused on causal inference methods and their applications in epidemiology and public health. 

The seminar began with an introduction to the fundamentals of causal inference, delivered by Charles Assaad (CIPHOD), followed by a series of talks exploring various facets of the field: causal discovery from observational data (Daria Bystrova, CLEPIVIR), causal estimation and emulated trials (David Hajage, PEPITES), causal reasoning in cyclic graphs (Simon Ferreira, CIPHOD), and a forward-looking presentation on the intersection between artificial intelligence and causality, particularly in language models (Federico Baldo, CIPHOD). A poster session gave several team members the opportunity to showcase their ongoing work, while a hands-on workshop allowed participants to engage directly with practical tools applying the discussed methods. 

Beyond theoretical and technical aspects, the seminar fostered numerous exchanges on the practical application of these approaches to public health data. The strong interest expressed by participants, especially regarding the integration of these methods into their own research projects, highlights the relevance of such interdisciplinary meetings. This second edition confirms the growing momentum around this topic within the unit and paves the way for future collaborations and initiatives. 

All presentation materials are available online by following this link.