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Policy, institutional and decision science

Policy, institutional and decision science studies how public decisions are made, implemented and evaluated. It examines how institutions coordinate across sectors and levels of government when facing shared risks. Policy Nexus stewards this page for the Nexus Consortium.

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01Contents

Policy, institutional and decision science in six parts.

In this dossier6 parts
  1. 01The methodWhat policy, institutional and decision science covers
  2. 02Reference practicePolicy science draws on evaluation and governance standards
  3. 03In systemic risk workInstitutions as part of the system
  4. 04Applied inPlatforms that apply this method
  5. 05StewardshipWho maintains this page
  6. 06SourcesWhere this page’s references lead
02The method

What policy, institutional and decision science covers.

  1. 01

    Core methods

    policy analysis; institutional analysis; regulatory impact assessment; stakeholder mapping; programme evaluation; comparative case study.

  2. 02

    Data and instruments

    legislation and regulatory texts; government budgets and audits; administrative data; expert elicitation; case study archives.

  3. 03

    Validation

    Conclusions are tested through comparative cases, counterfactual evaluation and peer review. Implementation outcomes are monitored against stated objectives.

  4. 04

    Limits

    Findings are often context specific and difficult to transfer. Political dynamics can override technically preferred options.

  5. 05

    Use in risk decisions

    Policy science identifies governance gaps where responsibility for cross-sector risk is unclear. It supports the design of mandates, coordination mechanisms and accountability.

03Reference practice

Policy science draws on evaluation and governance standards.

ReferenceWhat it sets
OECD Recommendation on the Governance of Critical RisksWhole-of-government approach to critical risks
IRGC risk governance frameworkMatching governance style to risk type
OECD DAC evaluation criteriaRelevance, coherence, effectiveness, efficiency, impact, sustainability
04Process

How the process runs.

Process

Policy, institutional and decision science: Layers to published map

Layers enter with their rights, are aligned, analysed and checked for uncertainty, then released after public-safe review; a map is a governed spatial claim.

  1. 01 Data

    1. 01Source layers with their rightsDataset · NXS-GRX (canonical data, provenance and risk)Spatial views of The Global Risks Index (NXS-GRX) products sit under the boundary licence gate. Rights classification sets how a layer may be used.

  2. 02 Harmonise

    1. 02Coordinate reference and boundary versionRecord · NXS-EOP (earth observation and digital twins)The area of interest preserves its coordinate reference system, polygon validity and observation support. Boundary versions are kept.
    2. 03Harmonise units, variables and timeStepUnit metadata, conversion records and transformation logs are required. Alignment is an evidence event, not hidden preprocessing.

  3. 03 Analyse and check

    1. 04Analyse with a recorded processing recipeModel · GIS teamA processing recipe records parameters, calibration, inputs and output lineage. The analysis methods are named in each product’s own record.
    2. 05Spatial uncertainty checkGateSpatial uncertainty is recorded and affects downstream use. A high-uncertainty polygon may suit internal review, not public-safe release.

  4. 04 Publish

    1. 06Spatial metadata bundleRecordThe bundle records boundary type, jurisdiction, geometry version, projection, resolution, source, time window, uncertainty and access class.
    2. 07Public-safe release of the mapDecisionThe output record names the redactions, uncertainty and public-safe reviewer. A map is a governed spatial claim, never merely a picture.

Spatio-temporal intelligence · Data protocols: semantic, jurisdictional and temporal intelligence · NXS-EOPDesigned programme process, not a record of operation. No cycle has run and every programme is at service level R0. A gate is a programme decision, never a public-authority approval, certification or deployment authorisation. The pages cited are design doctrine.

05In systemic risk work

Institutions as part of the system.

Mandates, coordination failures and incentives determine whether known risks are acted on. Policy science studies institutional design and evaluates what policies achieved. In systemic analysis it identifies where no institution owns a risk and where mandates overlap or conflict.

  • Map mandates before recommending action.
  • Evaluate implementation, not only design.
  • Distinguish policy analysis from policy advocacy.
06Applied in

Platforms that apply this method.

07Stewardship

Who maintains this page.

Policy Nexus stewards policy, institutional and decision science: it keeps this description current and reviews how the method is applied across the platforms.

08Sources

Where this page’s references lead.

The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.

09Questions

Questions and answers.

Why does one institution host every method page?
GCRI hosts the STEM Commons so that each method has one canonical description. Platforms link to it rather than repeat it, which keeps definitions consistent.
How do I suggest a correction to a method page?
Write to the integrity concern form with the passage and the reason.
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