The presentation explained how dynamic systems modeling was applied to support circular economy strategies by simulating policy impacts, infrastructure planning, and regional coordination. It introduced modeling paradigms such as system dynamics, agent-based, and hybrid approaches, highlighting their use in predicting long-term outcomes and optimizing investments. Case studies demonstrated applications in waste management and recycling policy, showing how scenario analysis and iterative refinement improved decision-making. The session emphasized the potential for ADB to use these tools for project design, risk assessment, and scaling circular economy initiatives.