Discovering causal mechanisms that explain observed properties and behaviours in both nature and human societies is a central goal in natural sciences, economics, and many other fields of study.
Finnish Center for Artificial Intelligence (FCAI) and Helsinki Graduate School of Economics (Helsinki GSE) invite you to a joint informal seminar on causal reasoning that introduces, contrasts and compares two prominent schools of thought on this difficult topic: Pearl’s causal (do) calculus, used widely in natural sciences, and the Potential Outcomes model of Rubin, used widely in economics.
The program consists of jargon-free introductions to both models, followed by example cases of local research that makes use of them.
Antti Hyttinen (University of Helsinki): Pearl’s Approach to Causality
Tuomas Pekkarinen (VATT Institute for Economic Research): Design-based Approach to Causal Inference in Economics
Timo Koski (KTH, Sweden): Causality in Continuous Time Bayesian Network Models
Matti Sarvimäki (Aalto University): RDD in Action – The Impact of an Integration Policy
Jukka Corander (University of Oslo, University of Helsinki): Context-specific Causal Models
Otto Toivanen (Aalto University): Links between Structural and Reduced Form Analysis – An Example on Effects of R&D Subsidies
The seminar will conclude with informal free time with snacks and wine to facilitate exploration of the connections and questions that come up during the talks. We ask you to please register for the event using this link: https://link.webropolsurveys.com/S/6E4EEBCD5754E053
Organising committee (alphabetical): Jukka Corander, Patrik Floréen, Jaakko Lehtinen, Marko Terviö, Otto Toivanen