Interdisciplinary Statistical Physics in Lecce 

About the workshop

This two days workshop in Lecce focuses on interdisciplinary aspects of statistical physics. In the last decades, statistical physics has become a unifying language for describing collective phenomena: the original 'atoms' of Ludwig Boltzmann can be substituted -in different, suitable, contexts- by bits, grains, agents, cells, neurons, genes, animals etc. schematised as simple interacting units, whose interactions give rise to 'unexpected' complex emergent behavior. 

Differently from the classical context, however, in complex systems it is necessary to tackle heterogeneity and disorder, and, over the years, Statistical Physics has provided tools to face it, furnishing analytical and numerical methods that, rather naturally, soon generalized to cover also optimization, high dimensional statistical inference and data science. 

After long periods, alternating limbo's and heroic phases, the richness of this field of research has been (finally!) recognised at the highest levels thus acquiring a mainstream status. Particularly significant at present is the case of applications to neural networks and machine learning, which after a period of relative stasis, has undergone a remarkable revival and is now in full expansion under the need to understand and quantitatively describe the emergent computational properties observed in modern AI.  During the workshop, recent advances on these fascinating topics will be explored in structured talks and open discussions.  

Organizing Committee: Adriano Barra, Fabrizio Durante, Silvio Franz, Fabrizio Illuminati, Linda Albanese, Andrea Alessandrelli, Gabriella Zammillo

Workshop Address: spmle25@gmail.com

Speakers: Ada Altieri (Paris), Sergio Caracciolo (Milano), Simona Cocco (Paris), Pierluigi Contucci (Bologna), Aurélien Decelle (Madrid), Alessandra Lanotte (Lecce), Enzo Marinari (Roma), Matteo Marsili (Trieste), Anita Mehta (Oxford), Marc Mézard (Milano), Anna Paola Muntoni (Torino), Giorgio Parisi (Roma), Mauro Pastore (Trieste), Federico Ricci-Tersenghi (Roma), Felix Ritort (Barcelona), Yasser Roudi (London), Antonio Sclocchi (London), Simone Warzel (Munich), Francesco Zamponi (Roma), Riccardo Zecchina (Milano)

Applications: follow this link

To download the poster follow this link

Funded by:

PRIN 2022 grant Statistical Mechanics of Learning Machines n. 20229T9EAT funded by the Italian Ministry of University and Research (MUR) in the framework of European Union - Next Generation EU.

PRIN 2022 PNRR grant Stochastic Modeling of Compound Events (SLIDE) n. P2022KZJTZ funded by the Italian Ministry of University and Research (MUR) in the framework of European Union - Next Generation EU.