Advanced Agent-Based Modeling

Catalog description

Agent-Based Modeling is a computational method for studying how interactions between agents generate global statistical regularities. Agents represent autonomous entities that are relevant to the phenomenon of interest such as individuals, households, and organizations. The course introduces the application of ABM in the context of epidemiology, public health, and the social sciences. The course trains students in using and developing models of various levels of complexity. From simple toy models that offer insight on the fundamental mechanisms of a phenomenon (such as the spread of an infectious disease) to realistic models that are calibrated to real-world observations and used for evaluating scenarios and interventions. Prerequisites: none. Open to all undergraduate, graduate, and doctoral students across all schools in the University.