GCRI · Campaigns

Campaigns

Public-interest communication, participation and campaign-specific knowledge mobilisation. Campaigns is an established platform of The Global Centre for Risk and Innovation.

STEM methods
2
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
2
Platforms in shared fields across the network
Report series
1
Reports series it contributes to
02The problem

Risk communication fails in predictable ways.

Decades of research on risk perception show that people do not weigh hazards the way models do. Familiar, voluntary and visible risks feel smaller than unfamiliar, imposed and invisible ones. Trust in the messenger shapes belief in the message, and trust is lost faster than it is earned. Numbers alone rarely move behaviour; people act when they understand what a risk means for them, what they can do and that the action is within reach.

Failures cascade. A water advisory that reaches only those who read one language leaves others exposed. A preparedness campaign that overstates certainty erodes trust for the next one. A well-meant message that names an institution without permission creates a false impression of authority, and a campaign that collects personal data it does not need creates a privacy risk of its own. In a crisis, unclear messages compete with rumour and with deliberate disinformation, and the people with the least time, money or connection are the most exposed to the gap.

Campaigns therefore need the same discipline as any other intervention: a stated purpose, evidence that holds, a defined audience, a way to measure effect and an honest record of what did not work.

03Monitor

Campaign wave tracker.

The screen a team would use to follow this field: its measures, states and decisions. Names are examples and values are illustrative.

Campaign wave tracker

Wave 2 · Campaign area North

  • People reached
    481433Active
  • Consent complete, % of participants
    97Normal
  • Knowledge score change
    0.9pointsNormal
  • Open feedback items
    7Watch
Wave in fieldGCRI · Campaigns

Preparedness actions by area

050100share of households after the wave, surveyNSSchoolsTownsCoast

Messages under test

Prepare a water reserveA41Revise
Know your warning levelsB58Revise
Check on neighboursA36Keep

Safeguarding and consent

  1. S-1Minor enrolled without guardian recordPause and verify2 d
  2. S-2Withdrawal requestData deleted, logged1 d
Campaign wave tracker: the screen’s structure, terms and states for Wave 2.Example names and illustrative values; a design, not a record or a live system.
05Simulator

A threshold model of collective behaviour.

Each agent acts once enough of its contacts have; small changes in the mean threshold or the early movers decide whether the behaviour stays local or cascades through the population. Teaching model with stated illustrative values, not a prediction. The map on this page shows South Asia; the model itself is not tied to a place.

Controls

Mean threshold (share of neighbours)
18%
Spread of thresholds
8 points
Early movers
2.0% of people
Contacts per person
8

Readouts

Share who acted in the end
100%
Global cascade
Yes
Steps to settle
11
Numbers, methods and sources
StepShare who have acted (%)
00.8
13.3
29.5
319.8
435.8
555.5
675.0
788.8
896.3
999.0
10100.0
11100.0

Methods

  1. Threshold models of collective behaviour Granovetter (1978), American Journal of Sociology 83
  2. Global cascades on random networks Watts (2002), PNAS 99
  3. Complex contagions Centola and Macy (2007), American Journal of Sociology 113
  4. One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

Data

No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme’s own evidence.

A threshold model of collective behaviour. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: Threshold models of collective behaviour (Granovetter (1978), American Journal of Sociology 83); Global cascades on random networks (Watts (2002), PNAS 99); Complex contagions (Centola and Macy (2007), American Journal of Sociology 113).
06Cycle

How work moves in this field.

A question becomes evidence, a governed build, an organised community, a controlled test, a reviewed publication and, finally, a decision taken by the competent authority under its own rules.

  1. Question Universe National, regional or institutional priority. Question in Campaigns
  2. Evidence Foundry STEM foundation of the platform. Evidence in Campaigns
  3. Build Foundry Foundry. Build in Campaigns
  4. Organise Universe Nexus ecosystem. Organise in Campaigns
  5. Test Universe Universe (independent site). Test in Campaigns
  6. Publish Reports Reports. Publish in Campaigns
  7. Decide Competent authority Competent authorities and institutions, through NXS-RLS. Decide in Campaigns
  8. Renew Universe Corrections and the next annual agenda. Renew in Campaigns

Each step of the cycle in the pillar it runs in; the decision stays with the competent authority, outside the programme.

07Twin and cascade simulator

Model campaigns as a system. Run the cascade.

Assembled from the Nexus Standards area profile Information integrity and trust: the hazards it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.

Hazards

  • Civil unrest
  • Ice-jam flood
  • Tropical cyclone
  • Heatwave
  • HIV epidemic
  • Dam failure
  • Storm surge (set off downstream)
  • Intense rainfall (set off downstream)
  • River flood (set off downstream)
  • Flash flood (set off downstream)
  • Dangerous surf (set off downstream)
  • Widespread power outage (set off downstream)
  • Mass displacement (set off downstream)
  • Coastal flood (set off downstream)
  • Extreme fire weather (set off downstream)
  • Wildfire (set off downstream)
  • Heat-driven grid stress (set off downstream)
  • Agricultural drought (set off downstream)

Controls

  • NS-0 Constitution and principles
  • NS-2 Citation and attribution format for UNIs
  • NS-9 Contextual UNIs (deployments, instances, programme instances)
  • NS-11 Verification and monitoring (evidence, attestations, zero-trust conformance observation)
  • NS-12 Software, model and AI/ML artefacts (supply chain, model cards, dataset sheets)
  • NRS-H52 Hazard family: Information-integrity attacks (NHS-1 cyber.integrity)
  • NRS-X7 Information integrity and public trust
  • NRS-U23 Universe platform profile: Reports
  • NRS-A4 Zero-trust verification of standards and conformance
  • NRS-H65 Hazard family: Planetary boundary transgressions (NHS-1 planet.boundary)
  • NRS-H72 Hazard family: Novel entities and emerging contaminants (NHS-1 poll.novel-entities)

Observation

  • GDELT event database and global knowledge graph (listed for reference)
  • Our World in Data datasets (listed for reference)
  • Number of countries that adopt and implement guarantees for public access to information

Example geography

  • The Horn of Africa: 253 hexagonal cells
  • Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
  • Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
  • Rain rate, last half hour (IMERG), NASA GIBS
  • Surface air temperature, daytime (AIRS), NASA GIBS
08Overview

What Campaigns does.

Risk communication is the real-time exchange of information, advice and opinions between experts or public servants and people facing a threat, so they can take informed decisions, in WHO usage. Campaigns studies how public understanding, participation and trust form and spread, and how public-interest campaigns keep claims honest, participation voluntary and outcomes on record.

Who it serves

Its community

Educators; civic groups; researchers; community partners; programme teams.

How it works

Its methods

Audience research; consented participation; public communication evaluation.

What it produces

Its outputs

Campaign explainers; responsible participation guides; campaign outcome records.

09Methods and evidence

How campaigns is modelled, measured and tested.

The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.

System model

The couplings between the systems in campaigns: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.

++−+InformationSocietyCommunitiesEconomyR reinforcingB balancing
Causal loop diagram from the page’s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.

Model, equations and assumptions

The model structure used for campaigns, the assumptions it makes and how each is tested.

Risk of element iRi = f(Hi, Ei, Vi, Ci)hazard, exposure, vulnerability and coping capacity
Expected annual lossEAL = ∑k pk · Lkover events k with annual probability pk
Coupled systemsxt+1 = A xt + B ut + εtA carries the couplings, u the shock, ε the error
AssumptionWhy it is madeHow it is tested
Hazard and exposure are independent within an eventKeeps the loss integral tractableCompare with a copula fit on joint records
Couplings are linear near the operating pointLets shocks propagate through APerturb beyond the linear range and compare
Vulnerability curves transfer between placesLocal curves are rarely availableValidate against observed losses where they exist
Inputs
versioned datasets with provenance
Outputs
distributions, never single numbers
Code
released with the model card and tests
Reproduction
same data, code, environment and seed
Standard risk and state-space formulations; the assumptions listed are typical of the method, stated for review, not results.
FAIR guiding principles · GO FAIR and FORCE11W3C PROV · World Wide Web ConsortiumGuidance on consistent treatment of uncertainties · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
10Mandate and boundaries

What Campaigns does, and the limits on persuasion it sets itself.

Campaigns studies how people come to understand risk and take part in reducing it, and runs public-interest campaigns that keep their claims sourced and their participation voluntary. It sells nothing, supports no candidate or party, profiles no individual and never buys influence; participation data is used only for the purpose people agreed to.

Campaign materials shown here are examples unless marked as released. Reach is not impact, and a campaign that changed nothing is reported as such.

11Geography

People and exposure in South Asia.

Population density, night lights and daytime surface heat over South Asia, from NASA GIBS. Each layer carries its own date.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 3

People and exposure, for this page

About this layer
Evidence
Estimated
Source
Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
Provider
NASA SEDAC (CIESIN, Columbia University)
Licence
CC BY 4.0
Vintage
null; Census-based estimate, static (2020)
Resolution
about 1 km grid
Uncertainty
Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed
Source
VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)
Provider
NASA LAADS DAAC
Licence
NASA open data
Vintage
daily; Satellite radiance, corrected for moonlight and atmosphere
Newest at build
2026-10-12
Resolution
about 500 m grid
Uncertainty
Satellite night-time radiance for the date shown; lights are a proxy for electricity use and outages, not a measurement of supply or access.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (persistent cloud still leaves gaps)
Source
VIIRS NOAA-20 Level 3, 8-day (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
8-day; Satellite 8-day composite; persistent cloud still leaves gaps
Newest at build
2026-09-14
Resolution
about 1 km grid
Uncertainty
Satellite skin temperature of the ground over the 8 days ending on the date shown, a heat exposure indicator; not air temperature, heat index or a heat warning.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed
Source
VIIRS NOAA-20 corrected reflectance (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite image
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Modelled (latest year GIBS publishes)
Source
MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
Provider
NASA LP DAAC
Licence
NASA open data
Vintage
yearly; Satellite classification; latest year GIBS publishes
Newest at build
2024-01-01
Resolution
about 500 m grid
Uncertainty
Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds leave gaps)
Source
OMI Aura (NASA GES DISC)
Provider
NASA GES DISC
Licence
NASA open data
Vintage
daily; Satellite retrieval; clouds leave gaps
Newest at build
2026-10-10
Resolution
about 2 km grid
Uncertainty
Satellite column of nitrogen dioxide in the lower atmosphere on the day shown, mostly from combustion; not a ground-level concentration or a health warning.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map

Latest available

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

Loading the latest NASA imagery.

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.

People and exposure, framed on South Asia.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · NASA JPL OPERA DIST-ALERTSources 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 hexagonal 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 hexagonal 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 hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. 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 hexagonal 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 hexagonal cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • OMI nitrogen dioxide (Aura) and OMPS aerosol index (Suomi NPP), NASA; distributed by the NASA GES DISC; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal 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 hexagonal cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. 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 hexagonal cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal 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.
  • Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
  • Live: NASA EONET Events are indicative, not authority warnings.
  • Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). 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).
  • NASA GIBS: 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).
  • Air quality forecast, 5 days, PM2.5 (CAMS via Open-Meteo): Contains modified Copernicus Atmosphere Monitoring Service information 2026.
  • Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
  • Optional layers (9 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
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Nitrogen dioxide, lower atmosphere column: OMI Aura, NASA GES DISC · 10 Oct 2026

13Reports, standards and contributions

Where campaign evidence goes, and how to take part.

Campaign evaluations, including null results, are designed for the Evidence Brief series; methods for measuring understanding and participation for the Methods and Technical series. Campaign records follow the provenance and consent rules of the proposed Nexus Standards.

  • Communities can propose a campaign need and co-design its messages.
  • Researchers can contribute evaluation designs and survey instruments.
  • Anyone can report a misleading campaign claim for correction.
14What the platform does

Evidence-based campaigns for named publics.

Campaigns serves educators, civic groups, researchers, community partners and programme teams who want to explain a risk, invite participation or mobilise knowledge for public benefit.

Explain

Campaign explainers

Plain-language material on a risk, with each claim sourced and its uncertainty stated.

Involve

Responsible participation guides

Voluntary, accessible and consented routes for people to contribute, with a way to withdraw.

Measure

Campaign outcome records

Measured results against aims agreed before launch, including results that fall short.

Campaigns explain and prepare. They never issue warnings: warnings come only from the authorities mandated to give them, and campaign material points people to those authorities.

15Across the Consortium

Grounded in science, connected to governance and finance.

The platform rests on two canonical methods in the STEM Commons: social and behavioural science, which supplies audience research, survey design and evaluation, and decision analysis under uncertainty, which helps a campaign say what a person can reasonably do when the evidence is incomplete. Their application here is described on social and behavioural science in Campaigns and decision analysis under uncertainty in Campaigns.

The same field is governed at The Global Risks Forum (GRF) through Information Integrity, which convenes institutions on misinformation, crisis information and public trust. The Global Risks Alliance (GRA) connects through Institutional Funds Nexus, where long-horizon investors examine how public understanding of risk shapes stewardship. The method behind every campaign is set out in how campaigns work, and lessons can feed the Evidence Brief series of Reports.

16Coverage

The areas of information and public trust this platform takes on.

Campaigns studies how public understanding, participation and trust in information form, degrade and spread, and how public-interest campaigns can keep their claims honest, their participation voluntary and their outcomes on record. Its pages cover risk literacy, life-support awareness, preparedness, AI literacy, governance, consent, evidence and completion, setting out the science, data, methods and decisions for each, with every measure labelled by its evidence.

Area

Risk literacy

How people read probabilities, forecasts and evidence about uncertain harm, and which presentation formats reduce misreading.

Area

Information integrity

Trust in sources, the spread of false and misleading content, and how corrections and information voids shape understanding.

Area

Life-support awareness

Public understanding of water and food systems, the advisories issued about them, and rumour during shortages.

Area

Preparedness and warning

How preparedness information and warnings travel, where the chain breaks, and safeguards for people who are hard to reach.

Area

AI literacy

Practical understanding of AI systems, synthetic media, provenance and rights over automated decisions.

Area

Participation and consent

Voluntary roles, informed and revocable consent, privacy and safeguarding in public engagement.

Area

Campaign governance

Sponsor disclosure, editorial independence, evidence behind public claims and correction when claims are wrong.

Area

Evidence and completion

Measuring reach, understanding and outcomes honestly, and closing campaigns with records, reflection and exit pathways.

17Grounding

Built on named science, technology, engineering and mathematics.

Every claim on Campaigns rests on methods with a canonical page in the STEM Commons, so readers can see what a finding depends on and where its limits lie.

Social and behavioural scienceDecision analysis under uncertainty

See the STEM foundation of Campaigns

18Six pillars

How this works across the six pillars.

Campaigns works through six pillars of one annual programme, led by the Nexus Consortium, with GCRI, GRF and GRA each contributing in its role: explore, experiment and prototype in Labs, build, simulate and prepare in Foundry, convene and test in Universe, codify, correct and apply in Nexus Standards, publish in every format in Reports, teach in the open in Risk Academy.

Select pillars · hover lines18 / 18 handoffs

Route

The whole programme

Every pillar hands its work to another; together they close the year’s feedback loops.

L · F · U · S · R · A

Pillars
6 of 6
Handoffs
18 of 18
Loops
17 closed

Handoffs in play

  • F01Universe → Foundry · Admitted mission becomes a cycle project with a decision caseReadiness preparation
  • F02Foundry → Universe · Core Build Report and go or no-go evidenceControlled build
  • F03Foundry → Reports · Sealed observations and indicator series behind a profileCloseout
  • F04Universe → Reports · After-action and scenario findings for chapters 10 and 13After-action review

and 14 more

F01 to F14 are the recorded handoffs of the programme year, each with the artefact that moves and its phase; R1, R2, R3 and R4 carry work around the ring. A loop counts when every pillar on it is selected. Every pillar is led by the Nexus Consortium.
  1. LabsWhere questions become experiments and prototypes: new methods, data and tools are tried in the open, with their limits on record, before the Foundry builds them, under the Nexus Consortium.Labs
  2. FoundryWhere methods, data and models become reproducible builds, each run with its inputs, version and limits on record.Campaigns in FoundryFoundry
  3. UniverseWhere a build is tested under controlled conditions with independent evaluators, so a method’s skill is measured, not assumed.Campaigns in Universeuniverse.nexus
  4. Nexus StandardsWhere methods, identifiers and data schemas are codified in the open and corrected when a test finds a fault.Governance, Security and Society in Standardsnexustandards.com
  5. ReportsWhere findings are published with their method, uncertainty and evidence class, and corrected as new versions.Campaigns in ReportsReports
  6. Risk AcademyWhere methods and systems are taught on real data and real places, by working the case, on Risk Academy.Faculty of Governance, Policy and International Affairs in Academyrisksacademy.com
19Frameworks

What the work is read against.

The platform does not set standards. It reads its evidence against the frameworks that competent bodies have adopted, so a finding can be placed where a decision-maker already works.

Framework or standardBodyWhat it sets
Communicating risk in public health emergenciesWorld Health OrganizationRecommendations on trust, community engagement, listening, message development and managing rumours in emergencies
Media and information literacy curriculum and competency frameworkUNESCOCompetencies for accessing, evaluating, creating and sharing information responsibly
Spectrum of Public ParticipationInternational Association for Public Participation (IAP2)Levels of participation from informing the public to shared decision-making, each with a stated promise to the public
Recommendation of the Council on Open GovernmentOECDPrinciples for transparency, integrity, accountability and stakeholder participation in public decisions
Global Principles for Information IntegrityUnited NationsPrinciples on societal trust, healthy incentives, public empowerment, independent media, transparency and research access
Aarhus ConventionUNECERights of access to environmental information, public participation in decisions and access to justice
General Data Protection RegulationEuropean UnionLawful bases, conditions for consent, rights of withdrawal, access and erasure, and protection of children’s data
Web Content Accessibility Guidelines (WCAG)World Wide Web Consortium (W3C)Testable criteria for perceivable, operable, understandable and robust web content
Evaluation criteriaOECD Development Assistance CommitteeRelevance, coherence, effectiveness, efficiency, impact and sustainability as the basis for evaluation
Recommendation on the Ethics of Artificial IntelligenceUNESCOValues and policy actions for AI, including public awareness and AI literacy
20Consortium

The same field, seen three ways.

GCRI studies a field as science, GRF governs it and GRA builds shared financial understanding of it. Campaigns links to its counterparts so that work on one side is visible on the others.

24Questions

Questions and answers.

Who publishes Campaigns?
The Global Centre for Risk and Innovation (GCRI) publishes Campaigns and is responsible for what it publishes. GCRI is a research, development and policy institution. It is not a regulator, and it does not certify, license or approve; its findings carry their methods and uncertainty.
Is Campaigns active?
Campaigns is an established platform of The Global Centre for Risk and Innovation. Information and enquiries are open today. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.
How can I contribute?
Start with the participation paths or write to the contact form. An enquiry receives a reference; it does not create membership, a role or an assignment.
Where are findings published?
Reviewed outputs appear on the publications page, and contributions to the Reports series are listed on Publish in Reports.
Which values on this platform are real?
Indicator names, units, sources, methods and frameworks are real. Levels in figures and canvases are examples in a design. A programme replaces them with labelled evidence it owns.
How do I report an error?
Use corrections and concerns, or write to the integrity concern form. A correction is recorded as a new version, never a silent edit.
Who publishes Campaigns?
The Global Centre for Risk and Innovation (GCRI) publishes Campaigns and answers for its content. GCRI is a research, development and policy institution; it does not regulate, certify, license or approve. See purpose and publisher.
Can a campaign warn people about a hazard?
No. Campaigns explain risks and help people prepare. Warnings are issued only by mandated authorities, and campaign material directs people to them. See campaign integrity.
ReportsContribute

Contribute evidence from this page.

Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

GCRICampaignsEvidence Brief
How it works

How Campaigns works.

Choose a view and press Play to follow the platform’s process, its programme year, the standards it applies and how its findings are published. The outline shows how the work is designed to run, not the status of any decision.

Campaigns

How Campaigns works

Platforms · Programme year · Standards · Reports

A platform joins a field to named methods, labelled evidence and the outputs it publishes, without becoming the authority it serves.

  1. 01 Scope

    1. 01Field and familiesStart · The platform leadThe home states the field, its families and who it serves.
    2. 02Topic dossiersRecord · Platform authorsTopics explain the subject with labelled evidence.
  2. 02 Evidence

    1. 03Evidence labelsRecord · GCRIEach value is labelled: observed, published statistics, estimated, modelled, scenario or unknown.
    2. 04MethodsStep · Method ownersMethods come from the STEM Commons, each with one canonical page.
  3. 03 Work

    1. 05Scenarios on the systemsModel · Foundry pillarScenarios run on the Nexus systems, labelled as scenario.
    2. 06Standards that applyRecord · Nexus StandardsThe platform names the standards that apply. A validator report is evidence for review.
  4. 04 Publish

    1. 07EditionsRecord · ReportsFindings are published through Reports with their limits.
    2. 08Authority decidesOutcome · The competent authorityDecisions and execution stay with the government, operator or licensed institution.

Campaigns home · Platforms · Shared methodsAn outline of how the work is designed to run; it does not report the status of any decision or record.

Take part

Take part in Campaigns.

Start from who you are. Answer an open call. Or form and lead a competence cell on the Campaigns platform.

Route

National institutions

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The Global Risks Index

Every figure on this page is indexed: society, demography, health, South Asia.

The Index is the Consortium’s indexing system for risk data. Every indicator, hazard, series and country profile carries its Nexus Standards identifier, its source and its licence, so what this page shows can be traced, corrected and reused.

  1. 01 · Sources205 registered sourcesEvery value keeps its source and licence; withheld values are counted.Data and licences
  2. 02 · Nexus StandardsNIS-1 and NHS-1451 indicators, 905 hazards; every record carries a UNI.Nexus Standards
  3. 03 · The Index54 series, 195 country profilesComputed on the standards; no value is published until an edition is released.The Global Risks Index
  4. 04 · This pageCampaignsMaps, figures and feeds read the Index in the context of society, demography, health and South Asia.Public API
Sources205registered, each with its licence
Indicators451NIS-1, 106 composites, 20 domain indices
Hazards905NHS-1, crosswalked to UNDRR-ISC HIPs
Series54global, sector, strategic, technology, thematic
Country profiles195one site per country

Series in this context society, demography, health

  1. GSGlobal DevelopmentPoverty, inequality, human development, demographic pressure and displacement as the ground on which shocks become losses.NXS-GRX-AR-000064Society · Demography · Health
  2. GLBGlobal SystemsThe state of interdependent global risk: the twenty domain indices aggregated to the world, the five core systems (water, energy, food, health, biodiversity) and their couplings, the global tail register and the gap…NXS-GRX-AR-000002Society · Health · Demography
  3. GSGlobal HealthHealth security capacity, epidemic emergence and spread, heat and air-quality burden, health system stress and access.NXS-GRX-AR-000062Health · Society · Demography
  4. SRConflict, fragility and human securityConflict risk and escalation, fragility, organised violence, civilian harm and the conflict–climate–food–displacement nexus.NXS-GRX-AR-000075Governance · Demography · Society

All 54 series · The 20 domain indices

Country profiles South Asia

Every country profile carries the source and licence of each value. Correct a value or reply

Hazard domains NHS-1

Geodata and API open

Open layers on an equal-area hexagon grid, shown as densities per km² or as symbols: People · GHSL 2025People · WorldPop 2025Built-up areaPortsAirportsRoadsRailwaysRivers and lake centrelines

/api/v1/public/grix · https://nexustandards.com/uni/{uni}
Developers · Data · Made with Natural Earth, Public domain; GHSL and WorldPop, CC BY 4.0

Snapshot of the Index registries pinned 2026-10-23 · 22c6eed. Research and risk-analytics information: not a rating, an official classification, a warning, a benchmark or advice.

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Information and enquiries are open today. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.

The Global Centre for Risk and Innovation

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Articles: CC BY 4.0. Figures, maps, twins and data: CC BY 4.0. Other uses: ask through the permissions form.