R03 · NETWORK · fieldGRF dossier · service level R0
GRFPolicy NexusEstablished
Field overview

Discipline and institutional issues

Policy and institutional science studies how public decisions are made, implemented and learned from, and how institutions can be designed to govern risks that no single body owns. As a field of Policy Nexus, it focuses on consequential shared risks: those that cross sectors, levels of government and borders. This overview explains why the field matters, what experts study and how it connects to other fields.

Publisher
The Global Risks Forum
Field
Policy, Governance and institutions, Risk management and systemic risk
Status
Established
Service level
R0: information and enquiries

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Layers 3

People and hazards, for this page

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

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Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

For discipline and institutional issues, in GRF's situational-awareness reading, the map opens on population density, night lights and flood water, framed on Africa; every other NASA layer, live feed and forecast waits in the layer list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · GDACS · NASA EONETSources and licences

  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). CC BY 4.0
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Live: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Live: NASA EONET Events are indicative, not official warnings.
  • Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026

GeographyFor discipline and institutional issues, in GRF's situational-awareness reading, the map opens on population density, night lights and flood water, framed on Africa; every other NASA layer, live feed and forecast waits in the layer list.

STEM methods
4
Canonical methods this field applies
Topics
9
Subject pages in the field
Counterparts
7
Platforms in shared fields at GCRI, GRF and GRA
Report series
2
Nexus Reports series it contributes to
01In brief

The short answer.

The Policy Nexus field covers policy analysis, institutional capacity and cross-border learning focused on consequential shared risks. Experts in it study questions such as risk-informed policy and disaster risk reduction policy, with methods such as policy, institutional and decision science as well as game theory and mechanism design. Its counterparts at GCRI and GRA look at the same systems through science and finance.

02Canvas

One field, three institutions.

Canvas · one field, three institutionsDesign, not a record
One field, three institutions: Policy Nexus and its counterpartsGCRI studies the field as science, GRF governs and convenes it, GRA builds shared financial understanding; the Nexus Universe tests work across them and the competent authorities decide. Design of the arrangement, not a record.

Fig.How GCRI, GRF and GRA share one field while the authorities decide. Design, not a record.

03Console

Field overview, in outline.

The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.

Field overview: the screen's structure, terms and states for Policy.Placeholder names and illustrative values; a design, not a record or a live system.
04Why it matters

Good evidence is not enough without institutions that can use it.

Societies often know a great deal about the risks they face and still fail to act on them in time. The reasons are institutional: mandates that split a risk between agencies, budget rules that favour response over prevention, short political cycles, weak feedback from implementation and limited trust between actors who need to cooperate. Understanding these patterns is the core of the field.

The field draws on political science, public administration, economics, law and the decision sciences. Its evidence ranges from comparative studies of institutions and statistical evaluation of policy effects to the practical knowledge of officials who have implemented reforms. Each kind of evidence has limits, and good policy analysis states which kind it rests on.

Policy also distributes risk. Decisions about where to invest, what to regulate and whom to protect shift exposure and costs between groups, regions and generations. A field that examines policy on shared risk must therefore examine fairness and legitimacy alongside effectiveness.

05What experts study

From agenda to outcome.

  1. 01

    Problem framing and agenda

    How risks become policy priorities and how they are defined. See Risk-informed policy.

  2. 02

    Instruments and design

    Regulation, spending, information, incentives and institutions, compared across settings. See Disaster risk reduction policy, Climate and adaptation policy and Technology policy.

  3. 03

    Coordination

    How agencies, levels of government and states cooperate. See Cross-border policy.

  4. 04

    Implementation and learning

    What happens between a policy and its outcome. See Policy implementation learning.

  5. 05

    Equity and inclusion

    Who gains, who bears costs and who has a voice. See Health and social policy, Development policy and Inclusive development governance.

06Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
Disaster risk reductionPreventing new and reducing existing disaster risk and managing residual risk, in UNDRR terminology.
Contingent liabilityA government obligation that arises only if a particular event occurs, such as disaster relief or a guarantee being called.
Risk governanceThe institutions, rules and processes through which risks are identified, assessed, managed and communicated, as the IRGC framework sets out.
Systemic riskRisk arising from interconnections, where failure in one part can cascade through a whole system.
07Connections

How this field touches others.

Policy is where evidence from every other field meets decisions. Decision rights locates who decides what, and the counterparts below show where the same questions are studied and where their financial dimension is examined.

08Pages

Pages in Discipline and institutional issues.

09Questions

Questions and answers.

Which methods does the field rely on?
Policy, institutional and decision science, game theory and mechanism design, causal inference and impact evaluation, and decision analysis under uncertainty. Each is described on the STEM foundation page.
Is this field only about national government?
No. It covers local and regional government, international organizations, public agencies and the institutional arrangements between them.
Does the field favour particular policies?
No. It compares approaches and evaluates outcomes. The choice between options belongs to those with authority and accountability for it.
Policy Nexus

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