mSPACE (multiscale Stochastics, Patterns, and Analysis of Combinatorial Environments) is a COST Action CA24122 dedicated to developing a unified mathematical framework for multiscale systems. Such systems arise when interactions across different spatial, temporal, and stochastic scales jointly determine the behavior of natural and engineered phenomena.

Multiscale systems are ubiquitous: from porous materials and battery electrodes, to complex networks in biology, ecology, and social systems, and to hybrid discrete-continuous structures encountered in data science and physics. mSPACE brings together researchers in analysis, geometry, probability, and combinatorics to address the theoretical challenges posed by these systems and to translate mathematical insights into real-world applications.

mSPACE poses a strong emphasis on bridging discrete and continuous models, combining spectral theory, gradient flows, stochastic geometry, and optimal transport. The Action fosters interdisciplinary collaboration, knowledge transfer, and capacity building across Europe, with a strong commitment to inclusiveness, gender balance, and the involvement of early-career researchers.