DIEP seminar by Giovanni Petri
Renormalization and Higher-Order Interactions: Bridging Structure and Dynamics in Complex Systems
I will explore the interplay between renormalization techniques and higher-order correlations in both structural and dynamical models. By examining how renormalization can be extended to capture higher-order interactions in complex systems, I aim to highlight the crucial role these correlations play in shaping emergent phenomena. Through recent advancements in higher-order network theory and models of dynamical systems, I will demonstrate how incorporating higher-order structural correlations refines our understanding of collective dynamics. This synthesis provides a pathway to unify topological insights and renormalization group methods, offering a deeper framework for analyzing systems that exhibit both strong interdependence and hierarchical organization. The implications for both theoretical approaches and empirical models will be discussed, with an emphasis on future research directions.
Giovanni Petri is a Professor at the Network Science Institute at Northeastern University London. His research spans the analysis of neuroimaging data and AI systems with topological techniques, the formalization of cognitive control models using statistical mechanics and network theory, and the study of the predictability of socio-technical systems.
If you wish to attend this seminar online, please send an email to f.a.nobregasantos@uva.nl to receive the zoom-link.