Making systemic risk legible to finance.
The Global Risks Alliance (GRA) is a nonprofit corporation registered in Nevada, United States, operating as a business league for the financial services industry. It translates evidence about interconnected physical, operational and technological risk into the questions that competent banks, insurers, investors, development lenders and supervisors ask before they decide. GRA prepares that evidence. It never lends, underwrites, rates, invests or approves.
- Institution
- Nevada nonprofit corporation; business league for the financial services industry
- Role
- Finance, insurance and development-readiness interface of the Nexus Consortium
- Produces
- Exposure notes, protection-gap evidence, scenarios, readiness dossiers and diligence questions
- Boundary
- Readiness is not approval. Every financial decision stays with the competent institution
Capital corridorsCorridors between twelve financial centres; cells shaded by distance to the nearest centre. Corridors are illustrative, not market data.
- Sector platforms
- 21
- 21 established
- Regions
- 6
- In the consortium geography
- Planned hubs
- 15
- Coordination roles, not offices
- Nexus systems
- 20
- Shared evidence environment
Where risk evidence becomes the questions finance, insurance and public finance ask.
The Global Risks Alliance (GRA) is a nonprofit business league of the financial services industry and a steward of the Consortium with the Global Centre for Risk and Innovation (GCRI). It reads systemic-risk evidence for finance, insurance and public finance.
GRA · Readiness
Readiness ladder to handoff
Consortium · Governance · Councils · Membership · Instruments · Readiness · Programme year · Platforms · Standards · Reports · Take part · Eight services · Evidence to questions · Action Week · Programme states · The programme year · A national mission · Mission admission · Action Week live operation · Publication authorised · The Nexus cycle · National Nexus · Joining as institution · Governance dialogues · Reports · Risk Academy · Finance readiness dossier · The Nexus Consortium · Complaint and appeal · De-risking case handoff · Founding and institutional establishment · Constitutional amendment · Correction and contestability · Succession · Public interest and anti-capture · External authority hand-off · Readiness dossier handoff · Funding · Public transparency · Gates G0 to G7 · Forming the annual agenda · NNC membership · National company and SPV · Finance-readiness chain · Preparing finance readiness · Risk layering · Catastrophe model · Parametric trigger · Bank stress test · Debt sustainability · NGFS scenarios · ISO 31000 · Private credit · ALM · Systemic cascade
A dossier climbs only as far as its evidence allows, and is released only on the programme owner’s written direction.
01 Evidence
- 01Evidence assembledStart · GCRI and source ownersHazard, dependency and exposure evidence is assembled, each source with one evidence label.
- 02Scenarios comparedModel · The Global Risks AllianceA result is a range across scenarios, with what was not tested listed.
02 Checks
- 03Safeguards checkedGate · The Global Risks AllianceSafeguard questions are identified early, each with an owner.
- 04Diligence questions registeredRecord · The Global Risks AllianceEach finding is restated as the question a competent institution would ask.
03 Dossier
- 05Readiness dossierRecord · The Global Risks AllianceA rung not reached is shown as not reached, with the reason written down.
04 Release
- 06Written directionGate · The programme ownerThe programme owner names, in writing, the party that should receive the dossier.
- 07Release recordRecord · The Global Risks AllianceThe dossier goes out with its version, labels, open questions and limits on use.
05 Decide
- 08Institution decidesOutcome · The receiving institutionThe receiving party reviews independently and decides under its own authority.
Finance readiness · Lawful handoffs · Lawful handoffs on GRAAn outline of how the work is designed to run; it does not report the status of any decision or record.
Financial losses now start in the real economy.
The losses that test financial systems now begin outside them: in a flooded port, a failed grid, a cyber incident at a shared provider or a harvest lost to heat. Each institution sees its own slice of the exposure. Nobody sees the whole chain, and the evidence that would show it is scattered across sectors, borders and disciplines.
Shocks arrive through the real economy
Hazards, outages and supply failures reach balance sheets as defaults, claims, repricing and fiscal strain, often months after the event and through counterparties that were never assessed together.
Exposures are shared and concentrated
Banks, insurers, funds and sovereigns depend on the same assets, the same providers and the same models. A loss that looks contained in one institution can be correlated across many.
Evidence is not yet in financial form
Scientific and engineering evidence rarely answers the questions a credit committee, an underwriter or a supervisor must ask. Protection gaps stay unmeasured, and finance follows disasters instead of preparing for them.
Activity and exposure, now
Night-time lights and population as a proxy for economic activity, beside the hazards that reach it, from NASA satellites, with elevation and live natural events. Switch layers, draw an area and export an image with its citations.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 2
Activity and exposure
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
- 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 (clouds leave gaps)
- Source
- VIIRS Global Flood Product (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite detection; clouds leave gaps
- Newest at build
- 2026-10-14
- Resolution
- about 250 m grid
- Uncertainty
- Satellite detection; clouds leave gaps. 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
- Observed (clouds and overpass timing leave gaps)
- Source
- VIIRS NOAA-20 375 m (FIRMS) (NASA LANCE FIRMS)
- Provider
- NASA LANCE FIRMS
- Licence
- NASA open data
- Vintage
- daily; Satellite detection; clouds and overpass timing leave gaps
- Newest at build
- 2026-10-13
- Resolution
- about 500 m grid
- Uncertainty
- Satellite hot-spot detections for the day shown, including gas flares and industrial heat; not a confirmed fire, an incident report or a warning.
- 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
Keyboard, with the map focused
Hold Ctrl or ⌘ and scroll to zoom
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.
Activity and exposure, framed on the contiguous United States.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 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
- 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
- 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). doi:10.7927/H49C6VHW. CC BY 4.0
- 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). 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 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 events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
- 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).
- Optional layers (4 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
- Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
- Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
- Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
- Active fires and thermal anomalies: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
- Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
Build a live risk picture, then read the exposure finance carries.
Coupled risk, applied response.
The sectors that carry exposure in coastal storm surge and how a loss in one passes to the others, across portfolios and public finances.
Choose a context
Sectors · Coastal storm surgeStress
Pillars · Coastal storm surgeKPI
In this contextDependence or handoff, heavier is strongerOutside this context
Programme yearAll phases
Context
Coastal storm surge
Mangroves and dunes absorb the surge; where they are gone, ports, substations and water intakes take it.
W · E · I · F · H · B
Risk
- Sectors
- 5 of 6
- Relations
- 10 of 15
- Coupling
- 0.64 share of total
Hover a corner, a line or a row to trace it across both sides.
Route
Applied to coastal storm surge
L · F · U · S · R · A
Response
- Pillars
- 5 of 6
- Handoffs
- 12 of 18
- Loops
- 8 closed
Expected value
- What is at stake
- $390Ba year at least, in infrastructure disruption costs to households and firms in low- and middle-income countriesWorld Bank, Lifelines, 2019
- Return on resilience
- 4 : 1benefit to costWorld Bank, Lifelines, 2019
- Avoided loss
- $80Bflood losses avoided a yearGlobal Commission on Adaptation, Adapt Now, 2019
Hover a pillar, a line or a row to read how it is applied.
A: a teaching cascade (shock 0.6, gain 0.35, four rounds) over teaching values for a typical city-region, not measurements. B: illustrative applications and the KPI each pillar answers for; values are published benchmarks, cited, not forecasts. Open events: NASA EONET, live.
Where exposure meets the coast, before and after a storm.
How financial stress could build along a coast where homes, businesses, insurers, lenders and public budgets carry the same hazard, on real geography with elevation: the US Gulf coast at baseline, under a hurricane with storm surge, and as the surge turns into repricing. Select a scenario. The levels are examples, not results.
FieldThe US Gulf coast under a surge or repricing scenario. Real geography. The levels are illustrative, not results.
Exposure before the storm.
Mortgages, insured property, municipal bonds, ports and energy assets sit on the same low coast. Each institution sees its own slice. The readiness dossier puts the whole exposure in one financial view.
Losses arrive through the real economy.
Storm surge reaches the coastal cells first: insured and uninsured property, closed ports, interrupted energy supply. The loss splits into what is retained, what is transferred and what nothing covers.
The second shock is financial.
After the storm, insurance withdraws or reprices, collateral values fall and public budgets carry the gap, reaching further inland than the water did. A protection-gap estimate shows where the uncovered loss would sit before it does.
Finance readiness, and research supervisors can challenge.
Five steps from evidence to an independent review.
Readiness means fitness for a stated next step, within a stated scope and evidence state. It is never approval, a rating or a promise of finance. Each step is designed to leave a record that a reviewing institution can examine.
The services behind each step, and what each never is, are described on Finance readiness.
Readiness work follows the risk-layering logic of disaster risk finance. Frequent small losses sit in a budget reserve. Moderate losses go to contingent credit or a contingency fund. Severe losses go to insurance and reinsurance. In the extreme layer, capital-market transfer covers a sliver and the uninsured gap is usually largest. A protection-gap note separates measured, estimated and unknown losses, and it is never advice on any instrument or provider.
- 01
Evidence assembled
Exposure, asset registers, loss history and scenarios, each carrying its evidence label: observed, published statistics, estimated, modelled or scenario.
- 02
Scenarios compared
Plausible shocks run against the exposure with stated assumptions, so a reader sees the range and not only a central case.
- 03
Safeguards checked
Environmental, social, legal, anti-corruption and data-rights questions identified before anyone relies on the work.
- 04
Diligence questions registered
What a competent institution would still need to know, written down openly rather than smoothed over.
- 05
Release for independent review
At the programme owner’s written direction, the dossier is released to a competent party that the owner chooses. That party reviews it independently and decides under its own authority.
An industry working on a problem no firm can solve alone.
Start with the question you need answered.
Each route has its own address. Country and consortium programme enquiries go to the Consortium Secretariat. The acknowledgement gives a reference and names the next step, and the first useful outcome is named before any work is agreed.
Shared systemic-risk and protection-gap research
Industry-wide exposure and protection-gap questions, worked on together and published where rights allow. No underwriting, lending or capital is promised. Write to the readiness team
Long-horizon resilience evidence
Research scopes, scenario evidence and the diligence needs that remain open, for each institution’s own analysis. Participation is not investment advice. Write to the research team
Programme preparation
Evidence, safeguards and open diligence questions for a resilience programme, prepared for your own independent review. Write to the readiness team
Fiscal exposure and stress questions
Scenario evidence on contingent liabilities and financial transmission. No privileged access to any authority is offered or implied. Write to the Secretariat
Working groups and learning
Bounded contributions to sector platforms and working groups, with review and recognition, once their terms are adopted. Register membership interest
Corrections and concerns
Challenge a public statement without membership or payment. Competition-law and conduct concerns go to compliance. Request a correction
Open now: information and enquiries. An enquiry is acknowledged with a reference and the next step. Membership applications, contributions and readiness engagements open only when their team, terms and review capacity are in place. Routes by audience are listed on Contact.
As a business league, GRA exists to improve conditions across the financial services industry as a whole, not to serve any single firm’s business. Membership is designed to bring institutions and professionals into that shared work.
- Institutional members: banks, insurers, reinsurers, asset owners, managers and development lenders
- Professionals: actuaries, risk managers, quantitative analysts, economists and engineers
- Working groups and industry councils, once their terms are adopted, under competition-law safeguards
- Professional learning in systemic risk and finance readiness
- Supervisors and other public servants are not members. They join open work only in their institutional role
- In each National Nexus, Financial Institutions and Regulators (FIR) is a cross-cutting pathway for finance, insurance and supervision, led with GRA
Membership confers no authority, appointment, endorsement, regulatory standing, data access or influence over findings. Pathways, safeguards and what is open today are set out on Membership.
The same evidence, read for finance.
The Alliance’s sector platforms share fields with GCRI’s science and the Forum’s governance. Trace a field across the three institutions, then follow it into the Standards a finance team maps to, the Academy’s courses and the Reports that state their evidence class.
- A03Asset Management Nexus
- A-P04Climate and Nature Financial Risk
- A07Private Equity Nexus
- A01Insurance Nexus
- A08Institutional Funds Nexus
- A02Banking Nexus
- A-P01Financial Stability
- A05Capital Markets Nexus
- A-P10Private Credit
- A-P11Actuarial and Quantitative Risk
- A-P02Reinsurance and Catastrophe
- A04Fintech Nexus
- A09Financial Regulation Nexus
- A-P05Payments and Market Infrastructure
- A-P06Financial Cyber and Operational Resilience
- A-P08Financial Crime and Fraud Risk
- A10Sovereign Capital Nexus
- A-P07AI and Financial Model Risk
- A06Development Finance Nexus
- A-P03Disaster Risk Finance
- A-P09Public Finance and Sovereign Debt
- G-P06Trade and Strategic Resources
- G-P14Advanced Industry and Robotics
- G05Biodiversity Nexus
- G-P07Oceans and Coasts
- R-P01Climate and Nature Governance
- G04Health Nexus
- G-P13Biotechnology and Biosecurity
- R-P04Health and Biosecurity Governance
- G02Food Nexus
- G-P12Space and Earth Observation
- R06Diplomacy Nexus
- G07Campaigns
- G-P16Society and Human Development
- R-P05Information Integrity and Public Trust
- R04Foresight Nexus
- G01Water Nexus
- G03Energy Nexus
- G-P05Cities and Built Environment
- G-P01Systemic Risk Management
- G-P19Systems Science and Modelling
- G-P02Climate and Hazards
- G-P03Disaster Resilience and Recovery
- R02Innovation Nexus
- R03Policy Nexus
- R07Governance Nexus
- G-P04Critical Infrastructure
- G-P17Future of Work and Skills
- G-P18Digital Public Infrastructure
- G08Labs
- G09Foundry
- G-P09Cybersecurity and Digital Resilience
- G-P11Quantum Technologies
- R-P02Disaster and Crisis Governance
- R-P03AI and Digital Governance
- R05Capital Nexus
- G06Registry
- R01Research Nexus
- G-P15Economic Development
- G10Agency
- G-P08Artificial Intelligence and Autonomous Systems
Biodiversity and nature
GRA · 2
GCRI · 2
GRF · 1
Industry and robotics
GRA · 1
GCRI · 2
GRF · 1
Health and biosecurity
GRA · 1
GCRI · 2
GRF · 1
Climate and hazards
GRA · 5
GCRI · 8
GRF · 2
Society and human development
GRA · 1
GCRI · 4
GRF · 1
Risk management and systemic risk
GRA · 1
- Financial StabilityA-P01
GCRI · 2
GRF · 3
Capital markets and investment
GRA · 12
- Banking NexusA02
- Asset Management NexusA03
- Fintech NexusA04
- Capital Markets NexusA05
- Private Equity NexusA07
- Institutional Funds NexusA08
- Financial Regulation NexusA09
- Sovereign Capital NexusA10
- Financial StabilityA-P01
- Climate and Nature Financial RiskA-P04
- Private CreditA-P10
- Actuarial and Quantitative RiskA-P11
GCRI · 0
- No platform in this field
GRF · 0
- No platform in this field
Financial stability
GRA · 9
GCRI · 0
- No platform in this field
GRF · 1
Insurance and catastrophe
GRA · 4
GCRI · 0
- No platform in this field
GRF · 0
- No platform in this field
Digital public infrastructure
GRA · 2
GCRI · 1
GRF · 1
Critical infrastructure
GCRI · 5
GRF · 1
Methods and modelling
GRA · 1
GCRI · 4
- LabsG08
- FoundryG09
- Systemic Risk ManagementG-P01
- Systems Science and ModellingG-P19
GRF · 0
- No platform in this field
Cyber and digital resilience
GRA · 4
GCRI · 3
GRF · 1
Economic development
GRA · 1
GCRI · 1
- Economic DevelopmentG-P15
GRF · 0
- No platform in this field
Governance and institutions
GRA · 2
GRF · 3
Disaster and crisis
GRA · 3
GCRI · 2
GRF · 1
Development finance
GRA · 3
GCRI · 2
- AgencyG10
- Economic DevelopmentG-P15
GRF · 1
Artificial intelligence
GRA · 1
GCRI · 2
GRF · 2
Sovereign and public finance
GRA · 3
GCRI · 0
- No platform in this field
GRF · 1
RegistryOpen
Standards
The disclosure, data and model-risk standards a finance team can map its own frameworks to.
18foundation348risk20programmesLearning22 courses open
Academy
Courses on exposure, protection gaps, disaster risk finance and model risk.
9faculties118disciplines117coursesEvidenceCorrections open
Reports
Sector and scenario editions that state their evidence class, never a rating or advice.
10series4per year9labelsIndexValues forming
Index
The anchor data pipeline and indexing system for all risk data, built on Nexus Standards.
54series195country profiles451indicators
Every figure on this page is indexed: finance, fiscal, macro, The contiguous United States.
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.
- 01 · Sources205 registered sourcesEvery value keeps its source and licence; withheld values are counted.Data and licences
- 02 · Nexus StandardsNIS-1 and NHS-1451 indicators, 905 hazards; every record carries a UNI.Nexus Standards
- 03 · The Index54 series, 195 country profilesComputed on the standards; no value is published until an edition is released.The Global Risks Index
- 04 · This pagethe Alliance homeMaps, figures and feeds read the Index in the context of finance, fiscal, macro and The contiguous United States.Public API
Series in this context finance, fiscal, macro
- 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-000002Fiscal · Finance · Economy
- GSGlobal Finance and economyFiscal and public debt risk, financial stability, external dependence, inflation and growth at risk, and the macro-financial channels of physical and transition risk.NXS-GRX-AR-000063Fiscal · Finance · Economy
- SRFinancial contagion and systemic financeInterconnected exposures, sovereign–bank links, capital-flow reversals and contagion through financial networks.NXS-GRX-AR-000081Finance · Fiscal · Economy
- SRFiscal resilienceFiscal space, debt sustainability signals, contingent liabilities from disasters, and pre-arranged finance.NXS-GRX-AR-000078Fiscal · Macro · Finance
Country profiles The contiguous United States
Every country profile carries the source and licence of each value. Correct a value or reply
Hazard domains NHS-1
- Frontier and exponential technologyNXS-GRX-AR-000146
- Society, conflict and economyNXS-GRX-AR-000147
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.
Common questions about the Global Risks Alliance.
What does the Global Risks Alliance do?
Can GRA finance, insure or invest in a project?
What is a readiness dossier, and what is it not?
Who can become a member of GRA?
How does GRA relate to GCRI and GRF?
How will GRA keep cooperation between competitors lawful?
Bring the question your institution cannot answer alone.
Write to GRA, or to the Consortium Secretariat about a country or consortium programme. The acknowledgement gives a reference and names the next step. An enquiry does not create membership, an engagement or any commitment to finance.
Take part in the work.
Start from who you are. Answer an open call. Or form and lead a competence cell.
National institutions
Ministries, statistics offices and agencies: a national desk and chapter, and a seat in the working groups. National chapters
Sectors and professions
Operators, regulators, banks, insurers and professional bodies whose work touches systemic risk. Participate
Learning
Courses and practice, with a record of every course completed. Free to study. Open learning
Standards
Draft, review and adopt the methods and data standards with the working groups. Working groups
Communities and research
Universities, civil society and individual experts: projects, data and review. Write to the team
| Open call | Seeks | Closes |
|---|---|---|
| Founding call for experts to the working groups CALL-FOUNDING-EXPERTS | expert, editor, chair | 2026-12-15 |
| Open nomination for the three independent expert seats of the Global Standards Council CALL-GSC-IND | council-member | 2026-12-01 |
| Nominations of interim regional members (applies only if the transitional provision is decided) CALL-GSC-REG | council-member | 2026-12-15 |
| Review of the wave-1 risk core outlines (C1, C2, C3, C4, C8, C10, C11) CALL-REVIEW-WAVE1 | contributor | 2027-01-31 |
| Experts for the core standards of risk science: uncertainty and evidence grading, scales, structured expert judgement, tolerability, extremes and compound events, catastrophic and existential risk, ethics and equity, units and measurement (NRS-C17 to NRS-C24) CALL-CORE-SCIENCE | expert, editor, chair | 2027-01-31 |
| Independent reviewers for the families of the hazard atlas, three from at least two regions for each family (NHS2-R19), priority families first CALL-ATLAS-REVIEW | expert | 2027-03-31 |
| Members of the interim Frontier Safety Review Panel and red-team reviewers (biosafety and biosecurity, AI safety and security, critical-infrastructure security); applications treated in confidence CALL-FRONTIER-SAFETY-REVIEW | expert | 2026-11-30 |
| Experts in ontology, metrology, software verification and conformity assessment for the requirement register, the NHS-2 machine representation, the conformance test suites and the conformity assessment scheme CALL-CONFORMANCE-ONTOLOGY | expert, editor | 2027-01-31 |
Calls past their closing date are hidden automatically. Every call, proposal and route: open areas and calls.
Gather the cell
Bring together three to seven people with complementary skills: data, field practice, policy and communication.
Register it
Write to the team with the cell’s name, members, area and region. You receive a reference and a contact. Write to the team
Choose a charter
Pick one focus: research and evidence, data and maps, standards review, or community preparedness.
Learn together
Follow shared study paths at Risk Academy, with practice and a record of every course completed. Hazards and resilience
Lead and report
Hold regular sessions. Publish what the cell learns through Nexus Reports. Bring findings to the working groups. Working groups
What a national team or a local community can do on The Global Risks Index (NXS-GRX) today.
Your country’s profile
Open risk profiles for 195 countries, with sources and licences on every value. Open the Index
Correct or reply
Correct a value or reply for your country. The change is logged with its effect. Open the Index
Offer data
Offer a dataset. It enters through the licence gate, with your credit. Open the Index