One-Dimensional Dynamics and High-Dimensional Network Systems
Organizers Committee
This conference aims to unite researchers in dynamical systems, fostering interdisciplinary exchange between experts in one- and low-dimensional dynamics, and those working on high-dimensional networked systems. The study of high-dimensional systems, particularly dimension reduction in network dynamics, has greatly benefi ted from insights from one-dimensional dynamics. Conversely, the fi eld of complex dynamics has recorded a great activity in the push of low-dimensional descriptions to higher dimensions. By bringing together diverse perspectives, we seek both to explore recent advancements at the established intersection between these areas, and to uncover new connections.
Anna Miriam Benini | Università di Parma
Fabrizio Bianchi | Università di Pisa – On line talk
Henk Bruin | Universität Wien
Kostiantyn Drach | Universitat de Barcelona, CRM-Barcelona
Núria Fagella | Universitat de Barcelona, CRM-Barcelona
Bastien Fernandez | LPSM, CNRS
Ale Jan Homburg | Universiteit van Amsterdam
Jeroen Lamb | Imperial College London
Luna Lomonaco | IMPA – On line talk
Stefano Luzzatto | ICTP
Stefano Marmi | Scuola Normale Superiore
Marco Martens | Stony Brook University
Liviana Palmisano | KTH
Leticia Pardo-Simon | Universitat de Barcelona, CRM-Barcelona
Tiago Pereira | ICMC, Universidade de São Paulo
David Rand | University of Warwick
Lasse Rempe | University of Liverpool
Gustavo Rodrigues Ferreira | CRM-Barcelona
Edmilson Roque | Max Planck Institute, Dresden
Weixiao Shen | SCMS
Leon Staresinic | Universität Zürich
Dmitry Turaev | Imperial College London
Corinna Ulcigrai | Universität Zürich
Anna Zdunik | Uniwersytet Warszawski
Please note that for organizational purposes, registration is mandatory
• FAPESP/UKRI-EPSRC grants 2023/13706-0 and EP/Z533658/1 titled Predicting Critical Transitions in Complex Dynamical Networks: Reduction and Learning
• Serrapilheira Institute Fellowship (Grant No. Serra-1709-16124) titled Reconstructing Complex Networks from Data
• UKRI-EPSRC grant EP/Z002656/1 titled Reconnect - Data-driven network dynamics reconstruction to predicting critical transitions: a random dynamics approach
• “Dynamics and Information Research Institute – Quantum Information (Teoria dell’Informazione), Quantum Technologies”, in the framework of the agreement signed by Unicredit Bank and Scuola Normale on July 31st 2014
• UKRI-EPSRC grant number UKRI1021 “Strongly Coupled Maps: Thermodynamic Limits and Rates of Convergence”
• “BeyondTheEdge: Higher-Order Networks and Dynamics” is funded by the European Union under REA Grant Agreement No. 101120085