Multivariate Information Theory and High-Order Interactions in Complex Systems (MITHIC)
The behaviour of complex systems often arises from intricate interactions between multiple components, not merely pairwise but higher-order interactions. Traditional analysis tools are limited in detecting such complex dependencies. Multivariate Information Theory (MVIT) offers a robust framework to capture and quantify these interactions, providing tools such as Total Correlation, O-Information, and Partial Information Decomposition.
This workshop aims to bring together early-career researchers, students, and domain experts to explore MVIT, both from theoretical and practical perspectives. Thematic focus areas include applications in a range of complex systems — covering neuroscience, epidemics, and systems biology — with special attention to the overlap between MVIT and high-order network theory. By blending instruction with collaborative exploration, the MITHIC workshop seeks to advance understanding of how to use multivariate dependencies to study collective behaviour emerging from high-order interactions and to foster new interdisciplinary research directions.