Causality has been a significant topic across various disciplines, including computer science, economics, social sciences, epidemiology, and philosophy. In recent years, interest has surged within the business sector, where practitioners are increasingly applying both experimental methods (such as A/B testing, reinforcement learning, and business experimentation) and observational causal inference techniques (including causal discovery, root-cause analysis, and quasi-experimental methods).

Since its inception, the Causal Data Science Meeting has played a pivotal role in this evolution, bringing together a global community of causality experts from academia and industry. This year’s Causal Data Science Meeting is set to take place as a two-day virtual conference on November 5-6, 2024. The event will concentrate on the latest methodological advancements, practical applications, and organizational challenges related to the implementation of causal machine learning tools. It will feature invited talks and presentations of accepted proposals.