Workshop "From Data to Causes"
Does higher income make people happier? What are the determinants of social cohesion? Such questions have one thing in common: their answers require causal inferences that should be based on valid forms of scientific inquiry.
Identifying and understanding cause-effect relationships is crucial for effectively intervening in social and natural systems. Yet, many unknowns exist in how to get from data to causes and surprisingly little attention is directly dedicated to this problem in the education of young scientists in the behavioral and related sciences.