CA24122 - multiscale Stochastics, Patterns, and Analysis of Combinatorial Environments (mSPACE)

Multiscale systems, where intricate dynamics arise from the interplay of interactions across various scales, are pervasive in nature and society. sPACE seeks to establish a rigorous mathematical foundation for understanding and analyzing them.

By focusing on both theoretical foundations and real-world modeling, we will explore discrete, continuous, and hybrid systems. We will advance the understanding of large-scale and long-time behavior of both natural and synthetic systems with different levels of geometry and/or randomness.

We will apply our framework to real-world phenomena, particularly in materials science. We will bring together leading research groups and, thus, foster an interdisciplinary approach. This will enable us to investigate a wide range of linear and nonlinear models and to address challenges such as network transportation, biological systems, and especially, microstructure optimization in materials science.

mSPACE will bridge the gap between mathematical concepts and practical applications. By uniting researchers from diverse fields, we aim to advance fundamental research, foster knowledge transfer, and drive long-term breakthroughs. Our collaborative approach will strengthen the European research landscape and benefit society.

We will address imbalances in research activity by committing to adequate and fair representation of female and junior researchers in key roles of the Action. We will also prioritize engagement with stakeholders from regions with lower research output. Through COST’s educational programs, we will proactively include these participants in our network. Furthermore, we will trigger connections with non-academic entities and catalyze collaborations between European laboratories and startups focused on the green transition.