This workshop brings together researchers from information theory, probability, statistics, machine learning, and the natural sciences, focusing on how information-theoretic ideas are shaping modern scientific questions.
Dates: July 6th – July 10th, 2026 (immediately following ISIT 2026)
Registration deadline: June 15th 2026
Registration and details: https://www.oist.jp/conference/information-theory-modern-science
List of invited speakers: Pierre Alquier (ESSEC), Sinho Chewi (Yale), Tom Froese (OIST), Michael Gastpar (tentative, EPFL), Frank Nielsen (Sony CSL), Ayfer Özgür (Stanford), Cynthia Rush (Columbia), Lalitha Sankar (ASU), Taro Toyoizumi (RIKEN), Andre Wibisono (Yale) and Yihong Wu (Yale).
The programme will feature invited talks, poster sessions, and discussion-focused sessions designed to foster genuine cross-disciplinary exchange.
Please feel free to share with colleagues, students, and anyone who may be interested.
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