SICC - Società Italiana Caos e Complessità



October, 19 2022, PALMA DE MALLORCA

The scope of this event is therefore to push the research on the cutting-edge problem of applying neural network techniques to the interpretation of complex systems’ dynamics, with a particular focus on real world applications. Specifically, we intend to stimulate the discussion on several actual and decisive topics, ranging from the evolution of physical ecosystems to the study of biological systems’ interactions (for example, in the human immune system, for genome-transcriptome-proteome data), from the analysis of communications to social networks and human behavior. From a more theoretical point of view, we would like to discuss the recent developments in the mathematical theory and application of networks and networked dynamical processes, where the interactions among nodes cannot be decomposed into pairwise interactions. Applications of such approaches include analyzing persistent homology structure of data represented by higher-order networks, and uncovering new collective behavior and synchronization patterns that emerge from higher-order interactions. At the same time, multi-layer and modular networks have also found their applications in modeling biological and artificial neural networks and in addressing questions like how network structures affect collective behavior.

In this satellite, we are inviting researchers, many of whom have worked on both machine learning and complex systems. The goal is to bring together the scientists having expertise in traditional approaches in studying complex systems and networks and expert machine learning scientists for exchange of ideas, and formation of a platform for future collaboration, as well as to deliberate upon open problems in the complex systems and network science which can be addressed by machine learning techniques.