The Alma Dal Co School on Collective Behaviour, September 29 – October 3, 2025

Speakers
Mathieu Coppey, CNRS Paris, Paris, FRA
Knut Drescher, Universitat Basel, Basel, CHE
Thierry Emonet, Yale University, New Haven, USA
Mirta Galesic. Santa Fe Institute, Santa Fe, USA, Complex Systems Hub, Vienna, AUT
Simon Garnier, NJ Institute of Technology, Rutgers, USA
Jordi van Gestel, EMBL, Heidelberg, DEU
Irene Giardina, La Sapienza, Rome, ITA
Karine Gibbs, UC Berkeley, Berkeley, USA
Chaitanya S. Gokhale, University of Würzburg, Würzburg, DEU
Deborah Gordon, Stanford University, Stanford, USA
Matti Gralka, Vrije Universiteit Amsterdam, Amsterdam, NLD
Ralf Kurvers, MPI for Human Development, Berlin, DEU
Gonzalo de Polavjeia, Champalimaud Foundation, Lisboa, PRT
William Ratcliff, Georgia Tech, Atlanta, USA
Andrea Rinaldo, Padua University, Padua, ITA
Elena Scarpa, Cambridge University, Cambridge, UK
Allyson Sgro, Howard Hughes Medical Institute, Ashburn, USA
Yuko Ulrich, MPI, Jena, DEU
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.
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.