Process / pipelineSimulation / optimization
Policy Scenario Analysis — Evaluating Policy Interventions Across Plausible Futures
Policy Scenario Analysis is a structured method for evaluating how different policy interventions perform across a range of plausible future states. By pairing specific policy levers with alternative scenarios, analysts can assess robustness, trade-offs, and unintended consequences of policy choices before implementation — making it a cornerstone of evidence-based policy design in fields from climate to public health.
Open in MethodMindSoonVideoSoon
Read the full method
Members only
Sign inSign in with a free account to read this section.
Sources
- Swart, R., Raskin, P., Robinson, J. (2004). The problem of the future: sustainability science and scenario analysis. Global Environmental Change, 14(2), 137–146. DOI: 10.1016/j.gloenvcha.2003.10.002 ↗
- Bishop, P., Hines, A., Collins, T. (2007). The current state of scenario development: an overview of techniques. Foresight, 9(1), 5–25. DOI: 10.1108/14636680710727516 ↗
Related methods
Referenced by
Multi-objective Scenario AnalysisPolicy Scenario Agent-Based ModelingPolicy Scenario Cellular AutomataPolicy Scenario Discrete-Event SimulationPolicy Scenario Dynamic ProgrammingPolicy Scenario Genetic AlgorithmPolicy Scenario Goal ProgrammingPolicy Scenario MicrosimulationPolicy Scenario Monte Carlo SimulationPolicy Scenario Multi-Objective OptimizationPolicy Scenario Particle Swarm OptimizationPolicy Scenario Sensitivity AnalysisPolicy Scenario System Dynamics