Darren Schreiber is currently a Senior Lecturer in Politics at the University of Exeter, his previous appointments were at Central European University in Budapest, Hungary; University of California, San Diego; and the University of Pennsylvania. His research centers on emergence and complexity in political systems. In his first career as an attorney, Darren specialized in federal litigation and had his first federal jury trial at age 23. While earning his Ph.D. in Political Science at UCLA, Darren developed an agent-based computer simulation of the formation and dynamics of political parties. He has pioneered the subfield of neuropolitics with the first use of functional brain imaging (fMRI) to study the neural foundations of politics.
Day 1 — Foundations
What is an Agent Based Model?
Why Agent Based Models?
Introduction to Emergence and Complexity
Introduction to NetLogo
John Conway’s Game of Life
Introduction to designing your own social science models
Day 2 — Building a Simple Model
The Cocktail Party Model
The Schelling Segregation Model
Session 3 — Extending Models
Schelling Segregation Model Extended
Individuals who prefer diversity
Session 4 — Creating Your Own Model
Agents’ Properties and Behaviors
Session 5 — Understanding Your Model
Analyzing Agent-Based Models
Verification, Validation, and Replication