Workshop organized by: U. Tirnakli, C.G. Antonopoulos and D. Eroglu
Complex systems consist of many interacting components whose collective behavior cannot be reduced to the properties of individual units. Such systems commonly operate far from equilibrium and are intrinsically shaped by fluctuations, heterogeneity, and interaction structure, giving rise to emergent macroscopic phenomena. Statistical mechanics provides a unifying framework to understand how microscopic variability, noise, and disorder are transformed into robust collective behavior and large-scale organization. Recent advances have shown that approaches rooted in statistical mechanics can significantly contribute to understanding complex systems characterized by numerous interacting components, emergent behavior, and intrinsic variability. This workshop aims to bring together recent theoretical and empirical developments addressing these mechanisms across physical, biological, and engineered systems, highlighting unifying principles, analytical tools, and open challenges in the statistical physics of complex systems.
List of potential speakers:
Constantino Tsallis - CBPF, Brazil
Tassos Bountis - University of Patras, Greece
Christian Beck - Queen Mary University, UK
Stefan Thurner - Complexity Science Hub
Astero Provata - INN-Demokritos, Greece
Helen Christodoulidi - University of Lincoln, UK
Henrik J. Jensen - Imperial College, UK
Peter Ashwin - University of Exeter, UK - pending
Diego F. M. Oliveira - University of North Dakota, USA - pending