Causality in Practice

Causal and effect questions are the foundation for numerous scientific disciplines, providing a framework for formulating and comprehending them under diverse conditions. In recent years, there has been a notable interdisciplinary effort to develop machine learning and statistical analysis techniques to address causality-related challenges. Simultaneously, the causal perspective has been used to formulate and understand various machine-learning problems.

The colloquium on Causality in Practice aims to facilitate discussions and knowledge sharing among researchers and practitioners who have applied causality in various domains. This event presents a unique opportunity to explore the practical aspects of causal reasoning. Attendees will have the chance to learn from experts in different fields and discover diverse real-world applications of causality. Moreover, participants can present their work at a poster session.

 Organizers

Marianne Clausel-University of Lorraine

Alessandro Leite-TAU-INRIA, Paris-Saclay University

Organized by

With additional support from