Understanding the behavior of complex social systems is tricky. Mathematical and agent-based models are used by a wide range of social and behavioral scientists to clarify hypotheses and test the consequences of their assumptions. They can help us to account for variability in individual properties (including biological and behavioral traits, physical and network locations), and to explore how macro-level phenomena emerge from micro-level behaviors under constraints. These models are foundational for our understanding of many social phenomena such as cooperation, collective problem solving, polarization, segregation, traffic flow, the spread of disease, and the emergence of social norms.
This master class will provide a theory-driven introduction to key mathematical and agent-based models of social dynamics and cultural evolution, including how to build your models, analyze them, and integrate them with empirical research programs.

Participation in DIS master classes is by invitation only.