Causal Data Science Meeting 2024

Causality has long been an important topic in various disciplines including computer science, economics, the social sciences, epidemiology, and philosophy. In recent years, interest has also grown in the business sector with both experimental (such as A/B testing, reinforcement learning, business experimentation) and observational causal inference methods (such causal discovery, root-cause analysis, quasi-experimental methods) being increasingly applied by practitioners.

Ever since its launch, the Causal Data Science Meeting has been at the forefront of this development, connecting a global audience of causality experts from academia and industry. We are excited to announce this year's Causal Data Science Meeting, which will take place as a two-day virtual conference on November 5-6, 2024. The event will focus on the newest methodological advances, practical aspects, and organizational challenges related to the adoption of causal machine learning tools. It will feature invited talks and presentations of accepted proposals.