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DTSTART;VALUE=DATE:20260318T093000
DTEND;VALUE=DATE:20260318T160000
UID:19193@agenda.unifr.ch
DESCRIPTION:This year’s symposium will focus on artificial intelligence and machine learning in causal inference in health sciences and health economics, with sessions exploring methodological advances, challenges, and practical applications in health research. The program will feature talks from leading researchers such as Prof. Jonas Peters (ETH Zurich). Moreover, we aim to create a space for early-stage researchers to network and learn from leading experts in causal inference in Switzerland. PhD students and postdocs are given the opportunity to present their work in flash-talk poster sessions. 
SUMMARY:2026 Symposium of Causal Inference in the Health Sciences
CATEGORIES:Kolloquium / Kongress / Forum\, Seminar
LOCATION:PER 21\, A130\, Bd de Pérolles 90\, 1700 Fribourg
URL;VALUE=URI:https://agenda.unifr.ch/e/de/19193
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