Applications of Evolutionary Game Theory and Related Frameworks: From Cells to Societies

Organizers:

Daniel Cooney (University of Illinois Urbana-Champaign), Olivia Chu (Bryn Mawr College) and Alex McAvoy (University of North Carolina, Chapel Hill)

Description:

Evolutionary game theory is a mathematical framework that describes how traits or behaviors can spread through populations, modeling frequency-dependent selection due to either natural selection or social imitation. Models of evolutionary games have found use in modeling biological and social systems in applications ranging from the study of adaptive cancer therapies to understanding the emergence of cooperative social norms in human populations. In this session, we aim to bring together researchers working on evolutionary game theory and related modeling frameworks for emergent phenomena arising from social interactions in populations, exploring a range of scientific applications across levels of biological organization and building a common understanding of mathematical approaches that can be used to explore evolutionary dynamics across a range of spatial and temporal scales.

Diversity Statement:

For this session, we recruited speakers across a range of levels of academic levels (including graduate students, postdocs, early-career researchers, and tenured faculty), and we also put together a diverse lineup of speakers according to national origin, gender, current institutions (including liberal arts colleges and a range of research universities), as well as the academic disciplines of the speakers' training.