Modeling Society with Computer Simulations

Why do societies form the way they do, and how can we test social theories before applying them in the real world? Computer simulations offer a virtual laboratory to model complex human interactions and predict emergent social behaviors. This course provides a comprehensive introduction to simulating social dynamics without requiring a background in advanced programming. In this course, you will transition from understanding basic social science theories to conceptualizing and reading simulated models of human systems. You will gain the foundational knowledge required to analyze societal patterns, cooperation, and conflict through computational lenses. What you'll learn: - Understand the foundational principles of computational social science and complexity theory - Explore agent-based modeling to simulate individual decisions and collective outcomes - Analyze classic social simulation models, including segregation, opinion dynamics, and cooperation - Learn how modern simulation frameworks are used to build and run social models - Discover how generative AI and modern computational agents are shaping the future of social simulation - Evaluate simulation results to inform public policy and social theory development Starting with key definitions and historical context, this text-based course guides you step-by-step through simulation design, classic modeling paradigms, and modern computational frameworks. You will read through theoretical explanations and conceptual code walkthroughs that bring these virtual societies to life. This course is designed for beginners in social science, data science, or policy analysis who want to learn simulation fundamentals. No prior programming experience or advanced mathematics are required. Start exploring the hidden dynamics of human societies through computational modeling today.