{"id":1402,"date":"2026-08-26T14:18:06","date_gmt":"2026-08-26T17:18:06","guid":{"rendered":"https:\/\/www.cemeai.icmc.usp.br\/Reconnect\/?p=1402"},"modified":"2026-08-26T14:18:09","modified_gmt":"2026-08-26T17:18:09","slug":"random-dynamical-systems-and-network-dynamics","status":"publish","type":"post","link":"https:\/\/www.cemeai.icmc.usp.br\/Reconnect\/random-dynamical-systems-and-network-dynamics\/","title":{"rendered":"Random Dynamical Systems and Network Dynamics"},"content":{"rendered":"\n
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\n Event report · 26–27 February 2026\n <\/p>\n\n \n

\n A two-day satellite meeting at IMPA, in Rio de Janeiro, brought together researchers working at the\n interface of ergodic theory, random dynamical systems and complex networks.\n <\/p>\n\n \n

\n On 26 and 27 February 2026, IMPA hosted the Satellite Meeting on Random Dynamical Systems and\n Network Dynamics<\/strong>, held alongside\n RDS Rio26 — International Conference on Random Dynamical Systems and Related Fields<\/a>.\n The meeting was organised by Zheng Bian (UNSW Sydney), Jeroen Lamb (Imperial College London) and\n Tiago Pereira (USP), and gathered researchers and students from Brazil, the United Kingdom and Australia.\n <\/p>\n\n

\n Random Dynamical Systems (RDS) provide a rigorous framework for understanding stochastic, time-dependent\n or noisy dynamical behaviour, while network dynamics studies how large collections of interacting\n components give rise to emergent collective phenomena. These two areas have been converging: randomness,\n temporal disorder and structural heterogeneity in networks naturally lead to random dynamical descriptions.\n Over two days, the programme combined long lectures and short talks by early-career researchers, covering\n operator-theoretic and measure-theoretic approaches to RDS networks, random graph models and mean-field\n limits, synchronisation and bifurcations under randomness, and data-driven approaches to learning\n dynamics from observations.\n <\/p>\n\n \n

\n Randomness, temporal disorder and structural heterogeneity in networks naturally lead to random\n dynamical descriptions.\n <\/blockquote>\n\n \n

Date and Venue<\/h3>\n

\n 26–27 February 2026
\n IMPA — Instituto de Matemática Pura e Aplicada, Rio de Janeiro — Brazil
\n 26 February: Room 206 · 27 February: Room 329 (Sala Multi-uso)<\/span>\n <\/p>\n\n \n

Scope<\/h3>\n