Organizers: Olivier Jeunen (ShareChat), Harrie Oosterhuis (Radboud University), Yuta Saito (Cornell University), Flavian Vasile (Criteo) and Yixin Wang (University of Michigan)

WATCH THE WORKSHOP RECORDING HERE

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The CONSEQUENCES ‘22 workshop on Causality, Counterfactuals, and Sequential Decision-Making focused on these topics from a general point-of-view, and was met with significant interest from both the academic and industry research communities. The CONSEQUENCES '23 workshop built upon this success whilst explicitly encouraging contributions that take into account multiple viewpoints and aim to understand, model and shape the consequences of recommendation decisions on all possible fronts. It is our belief that advances in the intersection of these fields foster progress in effective, efficient and fair use of logged data for both learning and evaluation, and can have strong impact on practical systems. As such, we believe the CONSEQUENCES '24 workshop will find an interested audience, and contributions from across industry and academia.The CONSEQUENCES workshop series aims to bring a dedicated forum for learning and exchanging ideas. To this end, we welcome contributions from both academia and industry and bring together a growing community of researchers and practitioners interested in sequential decision making, reinforcement learning, offline and off-policy evaluation, batch policy learning, fairness in online platforms, as well as other related tasks, such as A/B testing.