The Alma Dal Co School on Collective Behaviour, September 29 – October 3, 2025
Speakers
Mathieu Coppey INSTITUT CURIE, PARIS, Gonzalo de Polavieja CHAMPALIMAUD FOUND., LISBOA, Knut Drescher BASEL UNIVERSITY, Thierry Emonet YALE UNIVERSITY, NEW HAVEN, Mirta Galesic SANTA FE INSTITUTE, NEW MEXICO, & COMPLEXITY SCIENCE HUB, WIEN, Simon Garnier NJ INSTITUTE OF TECHNOLOGY, RUTGERS, Ralf Kurvers MPI HUMAN DEVELOPMENT, BERLIN, Irene Giardina UNIVERSITY LA SAPIENZA, ROMA, Karine Gibbs UNIVERSITY OF CALIFORNIA, BERKLEY, Deborah Gordon STANFORD UNIVERSITY, Matti Gralka VU AMSTERDAM, Christian Hilbe MPI EVOLUTIONARY BIOLOGY, PLÖN, Will Ratcliff GEORGIA TECH, ATLANTA, Andrea Rinaldo UNIVERSITY OF PADOVA AND IVSLA, Elena Scarpa CAMBRIDGE UNIVERSITY, Allyson Sgro HHMI’S JANELIA RESEARCH CAMPUS, Yuko Ulrich MPI CHEMICAL ECOLOGY, JENA, Jordi van Gestel EMBL, HEIDELBERG.
Scientific Committee
President: M. Vergassola ENS, Curator: F. Seno U. Padova, Members: M. Ackermann ETH, S. Bergmann UNIL, S. De Monte ENS, T. Emonet U. Yale, N. Fahkri MIT, N. Leonard U. Princeton, P. Liberali FMI Basel, A. Seminara U. Genova, C. Tarnita U. Princeton, S. van Vliet U. Bern.
https://almadalcoschool.github.io/
The School will focus on collective behaviour across biological systems, from cells to communities, and will use a highly interactive format to foster knowledge exchange between disciplines and career stages. Early career scientists, from PHD student to starting group leaders, are welcomed participants.
Participants will engage in a blend of research presentations by invited speakers and participants, panel discussions, and hands-on workshops. Compared to classical workshops, more time will be devoted to panel and group discussions and to foster networking opportunities.
The 5-day School aims to:
Promote interdisciplinary research on collective behavior, bridging gaps between physics, ecology, system biology, data science, and related fields;
Enhance understanding and innovation in collective behavior research.
Equip participants with cutting-edge methodologies and tools;
Stimulate innovative research that addresses significant scientific and interdisciplinary challenges;
Foster long-term collaborations and networks among young researchers and established scientists.
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