Social and evolutionary dynamics are explored using mathematical models and computational approaches. The research draws from evolutionary biology, paleo-anthropology, evolutionary psychology, network science, non-linear economics, social psychology, social and political sciences, artificial intelligence, computer science, and new approaches to history and social evolution.
Visit the Center for the Dynamics of Social Complexity (DySoC) at NIMBioS.
| David Anderson||Anthropology||Eastern U.S. prehistoric and historic archaeology, development of cultural complexity, colonization and migration|
| Alex Bentley||Anthropology||Culture evolution, computational social science|
| Michael J. Blum||Ecology & Evolutionary Biology||Aquatic ecology, socioecology, sustainability, conservation biology|
| Elizabeth Derryberry||Ecology & Evolutionary Biology||Behavioral and cultural evolution|
| Nina Fefferman ||Ecology & Evolutionary Biology; Mathematics; Director, Math Modeling Consulting Center||Self-organizing complex systems, mathematical and computational models of problems in epidemiology, evolutionary and behavioral ecology, conservation biology|
| Todd Freeberg||Ecology & Evolutionary Biology and Psychology||Complexity of communicative signals|
| Sergey Gavrilets ||Ecology & Evolutionary Biology; Mathematics||Theoretical evolutionary biology, social and evolutionary dynamics|
| Louis Gross ||Ecology & Evolutionary Biology; Mathematics||Mathematical ecology. Director, NIMBioS; Director, The Institute for Environmental Modeling (TIEM)|
| Christopher Strickland ||Mathematics, Ecology & Evolutionary Biology||Mathematical ecology, addiction epidemiology, data-driven mathematical modeling, computational biomath|