Certificate in Systems Dynamics and Modeling for Sustainability Analysis

This advanced certificate develops quantitative modeling skills to understand how complex systems evolve over time. Participants learn to model feedback loops, delays, nonlinear relationships, and unintended consequences that shape sustainability outcomes across infrastructure, governance, and environmental systems. The course emphasizes long-term policy impacts and dynamic behavior rather than static optimization. Using system dynamics methodologies, participants construct simulation models addressing urban growth, infrastructure stress, climate adaptation strategies, and resource allocation challenges. The program integrates conceptual systems mapping with formal modeling tools, enabling participants to test alternative policies and identify high-leverage interventions. Graduates develop the capacity to translate qualitative systems thinking into quantitative policy simulations, improving long-term planning and resilience strategies. Core Learning Outcomes Upon successful completion, participants will be able to: • Develop stock-and-flow models representing dynamic system behavior. • Calibrate simulation models to reflect real-world policy scenarios. • Identify feedback-driven instability and long-term unintended outcomes. • Evaluate policy interventions through scenario simulation. • Translate dynamic modeling results into actionable strategy insights. Schedule (8 Weeks | ~70 Hours) Week 1: Foundations of System Dynamics Week 2: Feedback Structures & Stock-Flow Modeling Week 3: Model Formulation & Calibration Week 4: Simulation & Policy Testing Week 5: Scenario & Sensitivity Analysis Week 6: Sustainability Applications Week 7: Applied Modeling Lab Week 8: Capstone Dynamic Policy Model. Lead Faculty: System dynamics expert with sustainability modeling experience. Practice Fellow: Urban or climate policy analyst with simulation background.