Case Studies
PolicyGyeonggi Provincial Assembly • Suwon, Korea
Provincial Assembly Policy Impact Analysis
AI-powered policy simulation for legislative decision support
Problem
Predicting impacts of complex policy proposals was difficult. Legislators often relied on debate without sufficient data-driven evidence for policy decisions.
Decision to Make
What effects will this policy have? Which is better compared to alternative policies?
Inputs (Data)
1Current budget and expenditure data
2Demographics and demand forecasts
3Historical similar policy performance
4Stakeholder opinions (qualitative)
Approach
Built policy simulation framework to compare expected effects across scenarios. Visual dashboard enabled legislators to intuitively understand trade-offs.
Deliverables
Policy recommendation summary (Decision Brief)
3-5 alternative scenario comparison (Scenario Pack)
Methodology and data source documentation (Audit Pack)
Result
Activated data-driven policy discussions. Improved decision transparency. Used for constituent communication.
Time-to-Value
2-week diagnostic + 6-week build
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