Building Valid and Credible Simulation Models for Environmental Policy

In environmental policy and urban planning, policy decisions are only as good as the models they rely on. Building a simulation model is just the first step; ensuring that your model is accurate, reliable, and trusted by stakeholders is the real challenge. This course provides a clear pathway to mastering simulation validation, helping you translate complex real-world systems into credible digital representations. You will transition from understanding basic system dynamics to establishing rigorous validation frameworks that satisfy policymakers and technical experts alike. By focusing on systematic testing and modern transparency standards, you will learn to build models that drive real-world impact. What you'll learn: - Understand the core terminology and foundational concepts of simulation modeling and system dynamics. - Apply rigorous verification techniques to ensure your model's logic matches its conceptual design. - Validate simulation outputs against historical data and empirical evidence. - Establish credibility and trust with non-technical stakeholders through clear documentation and modern reproducibility standards. - Evaluate model sensitivity and uncertainty to identify critical variables and potential failure points. - Integrate modern open-science practices to make your simulation data and assumptions transparent. We begin with essential definition and core modeling methodologies, establishing a strong theoretical foundation. Next, we explore step-by-step techniques for testing assumptions, calibrating variables, and presenting your findings to decision-makers clearly and ethically. This course is designed for beginners, aspiring environmental analysts, and urban planners who want to understand simulation modeling from the ground up, with no prior advanced programming or mathematical modeling experience required. Start learning today to build simulations that inspire confidence and guide sound environmental policies.