Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Policy Delphi× | Politikas scenāriju analīze× | |
|---|---|---|
| Nozare≠ | Public Policy | Simulācija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1970 | 1967–1990s |
| Autors≠ | Murray Turoff | Kahn, H. & Wiener, A. J. (seminal); adapted for policy by RAND Corporation and OECD |
| Tips≠ | Structured, iterative expert-deliberation technique for policy | Qualitative-quantitative hybrid scenario method |
| Pirmavots≠ | Turoff, M. (1970). The design of a policy Delphi. Technological Forecasting and Social Change, 2(2), 149–171. DOI ↗ | 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 ↗ |
| Citi nosaukumi≠ | Policy Delphi Technique, Turoff Policy Delphi, Decision Delphi | PSA, Policy Scenarios, Policy Impact Scenario Analysis, Counterfactual Policy Analysis |
| Saistītās≠ | 3 | 5 |
| Kopsavilkums≠ | The policy Delphi is a structured, iterative technique for eliciting and organising informed opinion on contested policy issues. Unlike the classical Delphi, which seeks consensus on a forecast, the policy Delphi is explicitly designed to generate the strongest possible opposing positions on a policy question and to expose the full range of options, supporting arguments and disagreements among a panel of knowledgeable stakeholders. Introduced by Murray Turoff in 1970, it conducts several anonymous rounds in which participants rate policy statements on dimensions such as desirability and feasibility, see aggregated feedback and the reasoning behind divergent views, and revise their positions — surfacing structured intelligence for decision-makers rather than a forced agreement. | 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. |
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