Mathematical modelling plays a central role in modern biology, medicine, and public health by enabling the analysis of complex systems, the simulation of extreme and emergent scenarios, and the development of innovative methodologies and technologies. As a result, mathematical modelling in the life sciences constitutes a rapidly expanding and strategically important research area within the mathematical sciences.

The EMS-TAG on Mathematical Modelling in Life Sciences fosters a strong and active research community by bringing together mathematicians and interdisciplinary partners working on the development, analysis, and application of mathematical and computational methods, including modelling, optimisation, simulation, and data-driven approaches. While rooted in Europe, the activity group actively promotes collaboration within a worldwide network of researchers and institutions, facilitating scientific exchange across disciplines and geographical boundaries.

A defining feature of this area is the growing interdisciplinary collaboration between mathematicians, computational biologists, bioengineers, medical doctors, epidemiologists, public health authorities, and industry partners. These interactions address the increasing complexity of biological, medical, and public health challenges, which require rigorous quantitative frameworks and predictive tools. Through its international network, the EMS-TAG supports evidence-based decision-making, the integration of heterogeneous data, and the translation of mathematical theory into impactful real-world applications.