GCRI · Disaster Resilience and Recovery
Disaster Resilience and Recovery
Risk reduction, readiness, emergency systems and recovery capacities across communities and institutions. Disaster Resilience and Recovery is an established platform of The Global Centre for Risk and Innovation.
- STEM methods
- 8
- Canonical methods this field applies
- Topics
- 8
- Subject pages in the field
- Counterparts
- 10
- Platforms in shared fields across the network
- Report series
- 2
- Reports series it contributes to
The order things happen in.
- 01QuestionNational, regional or institutional priority
- 02EvidenceSTEM foundation of the platform
- 03BuildFoundry
- 04OrganiseNexus ecosystem
- 05TestUniverse (independent site)
- 06PublishReports
- 07DecideCompetent authorities and institutions, through NXS-RLS (participants, agreements and handoffs)
- 08RenewCorrections and the next annual agenda
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.
- Question Universe National, regional or institutional priority. Question in Disaster Resilience and Recovery
- Evidence Foundry STEM foundation of the platform. Evidence in Disaster Resilience and Recovery
- Build Foundry Foundry. Build in Disaster Resilience and Recovery
- Organise Universe Nexus ecosystem. Organise in Disaster Resilience and Recovery
- Test Universe Universe (independent site). Test in Disaster Resilience and Recovery
- Publish Reports Reports. Publish in Disaster Resilience and Recovery
- Decide Competent authority Competent authorities and institutions, through NXS-RLS. Decide in Disaster Resilience and Recovery
- Renew Universe Corrections and the next annual agenda. Renew in Disaster Resilience and Recovery
Each step of the cycle in the pillar it runs in; the decision stays with the competent authority, outside the programme.
- Labs
- Foundry
- Universe
- Nexus Standards
- Reports
- Risk Academy
- Competent authority (outside the programme)
Recovery and needs tracker.
The screen a team would use to follow this field: its measures, states and decisions. Names are examples and values are illustrative.
Recovery and needs tracker
Affected area North · Day 35 after event
Damage and loss by sector
local units, millions, estimated
| Housing | 133 | 25 | 287 | 30 |
| Transport | 81 | 53 | 68 | 59 |
| Water and sanitation | 51 | 13 | 47 | 71 |
| Agriculture | 24 | 121 | 106 | 24 |
| Health | 26 | 13 | 26 | 60 |
Build back better
- Standard
- raised floor levels, hazard map zoning
- Safeguard
- no relocation without consent
- Owner
- Municipality
- Label
- ESTIMATED
Sendai targets, national
progress vs baseline, illustrative
The questions this field works on.
Risk reduction policy
Prevention and risk-informed development.
TopicPreparedness and continuity
Organisational capacity and continuity.
TopicEarly warning readiness
Warnings, communication and last-mile issues.
TopicAnticipatory action
Triggers, lead times and action limits.
TopicRecovery and reconstruction
Safer rebuilding and recovery choices.
TopicDisaster loss accounting
Direct and indirect loss methods.
TopicCommunity and local preparedness
Local governance and inclusion.
TopicMulti hazard exercises
Scenario design and learning.
Stocks, flows, delays and a tipping threshold.
Two stocks, pressure and adaptive capacity, joined by a reinforcing growth loop, a delayed balancing response and damage when pressure outruns capacity; past the threshold the system can tip. Teaching model with stated illustrative values, not a prediction. The map on this page shows The Philippines; the model itself is not tied to a place.
Controls
- Growth of pressure
- 6.0% a year
- Efficacy of capacity in reducing pressure
- 4.0% a year
- Investment response to perceived pressure
- 20%
- Perception delay
- 4.0 years
- Tipping threshold of pressure
- 60 index
- Amplification past the threshold
- 2.0 times
- Years simulated
- 50 years
Readouts
- Peak pressure
- 113 index
- Capacity at the end
- 186 index
- Years over the threshold
- 15.8 years
Numbers, methods and sources
| Year | Pressure | Capacity | Perceived |
|---|---|---|---|
| 0 | 20.0 | 50.0 | 20.0 |
| 4 | 23.3 | 44.9 | 21.2 |
| 8 | 27.2 | 42.2 | 24.0 |
| 12 | 31.7 | 42.3 | 27.7 |
| 16 | 36.8 | 45.5 | 32.2 |
| 20 | 42.3 | 51.5 | 37.2 |
| 24 | 47.9 | 60.3 | 42.6 |
| 28 | 53.2 | 71.3 | 48.0 |
| 32 | 57.8 | 84.3 | 53.1 |
| 36 | 66.4 | 98.4 | 58.4 |
| 40 | 82.7 | 115.9 | 69.7 |
| 44 | 97.8 | 139.7 | 83.8 |
| 48 | 109.1 | 169.4 | 97.3 |
Methods
- System dynamics Forrester (1961), Industrial Dynamics, MIT Press; Sterman (2000), Business Dynamics
- Critical transitions and tipping points Scheffer and others (2009), Early-warning signals for critical transitions, Nature 461
- Causal loop diagram Sterman (2000), Business Dynamics, McGraw-Hill
- Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
- 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.
Across the six pillars, led by Nexus Consortium
- Experiments Labs
- Built in Disaster Resilience and Recovery in Foundry
- Tested at Disaster Resilience and Recovery in Universe
- Codified in Hazards and Disaster Risk Reduction in Standards
- Published in Disaster Resilience and Recovery in Reports
- Taught in Faculty of Hazards, Disasters and Resilience in Academy
The areas of disaster and crisis this platform takes on.
Disaster Resilience and Recovery studies how communities and institutions reduce disaster risk, prepare, act ahead of forecast hazards, respond and rebuild. Its pages set out the policy, preparedness, warning readiness, anticipatory action, recovery, loss accounting, local preparedness and exercise methods behind that work, with every value labelled by its evidence and every limit stated. It prepares evidence and methods; national disaster management authorities, local governments and communities decide, and it is not an emergency service.
Risk reduction policy
National and local strategies, legislation and investment that prevent new risk and reduce existing risk.
Preparedness and continuity
Plans, stocks, capacities and continuity arrangements that let institutions and services keep working when disaster strikes.
Early warning readiness
Whether warnings reach people and whether people and institutions know what to do when they arrive.
Anticipatory action
Pre-agreed actions and financing released on a forecast trigger, before the hazard’s peak impact.
Recovery and reconstruction
Restoring housing, livelihoods, services and infrastructure after disaster, and reducing risk while doing so.
Disaster loss accounting
Recording deaths, people affected, damage and losses consistently so that trends and targets can be tracked.
Community and local preparedness
The knowledge, networks and resources of households, neighbourhoods and local organisations that act first.
Multi-hazard exercises
Simulations and drills that test plans, coordination and communication across agencies and hazards.
Model Disaster Resilience and Recovery as a system. Run the cascade.
Assembled from the Nexus Standards area profile Compound and cascading hazard standards: 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
- Natech event
- Chemical spill or leak (set off downstream)
- Emergency-response overload (set off downstream)
- Toxic gas release (set off downstream)
- Industrial fire (set off downstream)
Systems and couplings
Controls
NS-0Constitution and principlesNS-3Risk record UNIs (grammar, legacy crosswalk, allocation authority)NS-9Contextual UNIs (deployments, instances, programme instances)NS-11Verification and monitoring (evidence, attestations, zero-trust conformance observation)NRS-H61Hazard family: Cascading failure (NHS-1 sys.cascade)NRS-H62Hazard family: Compound and multi-hazard events (NHS-1 sys.compound)NRS-H60Hazard family: Supply-chain and flow disruption (NHS-1 sys.supply-chain)NRS-H94Hazard family: Systemic cyber events (NHS-1 cyber.systemic-cyber)NRS-H107Hazard family: Digital infrastructure concentration and monoculture (NHS-1 tech.digital-concentration)NRS-H7Hazard family: Large-scale circulation anomalies (NHS-1 atmo.climate-mode)
Observation
- Copernicus EMS rapid mapping activations (listed for reference)
- OpenStreetMap planet and replication (listed for reference)
- ERA5 reanalysis (Copernicus Climate Data Store) (listed for reference)
- Direct economic loss attributed to disasters in relation to global GDP
- Number of disruptions to basic services attributed to disasters
Example geography
- Bangladesh: 134 hexagonal cells
- Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
- Carbon monoxide, smoke transport (AIRS), NASA GIBS
- Vegetation disturbance alerts, 30 m (OPERA DIST-ALERT), NASA GIBS
What Disaster Resilience and Recovery does.
Disaster resilience is the ability of communities and institutions exposed to hazards to resist, absorb, adapt to and recover from them in a timely way. Disaster Resilience and Recovery covers risk reduction policy, preparedness, warning readiness, anticipatory action, recovery, loss accounting, local preparedness and exercises. It prepares evidence; national authorities, local governments and communities decide.
Its community
Disaster scholars; emergency planners; recovery specialists; humanitarian analysts.
Its methods
Disaster loss data; response/recovery research; scenario exercise methods.
Its outputs
Preparedness evidence guides; recovery case studies; capacity models.
How Disaster Resilience and Recovery 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.
Uncertainty bands
How far the outlook for Disaster Resilience and Recovery could spread, shown as ranges rather than a single line.
- Central estimate
- median of the ensemble
- Ranges
- likely and very likely, in IPCC calibrated language
- Ensemble
- members, scenarios and initial conditions stated
- Read with
- the sensitivity of the result to each input
Earth observation chain
How a satellite or sensor record becomes evidence on Disaster Resilience and Recovery, and where each step adds uncertainty.
- 01 · Acquireorbit, sensor and revisitUncertainty: gaps from cloud and orbit
- 02 · Calibrateradiometric and geometricUncertainty: sensor drift
- 03 · Correctatmosphere and terrainUncertainty: aerosol and slope assumptions
- 04 · Retrieve or classifythe variable or the classUncertainty: model and training error
- 05 · Validateagainst ground truthUncertainty: sample design and size
- 06 · Publishwith error bars and lineageUncertainty: stated, never hidden
What Disaster Resilience and Recovery studies, and what it never does.
Disaster Resilience and Recovery, studies how communities and institutions reduce risk, prepare, act ahead of forecast hazards and recover, and helps national authorities test their plans. It is not an emergency service: it dispatches no one, commands no incident, issues no warning and releases no funds. Anticipatory action triggers stay with the agencies that own them.
Exercise scenarios and loss figures shown here are illustrations unless marked as recorded. Simulated warnings never reach live audiences.
Hazards now in the Philippines.
Flood water, population density and active fires over the Philippines, from NASA GIBS. Each layer carries its own date.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 3
Hazards now, for this page
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
- 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 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
- 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
- Estimated
- Source
- GPM IMERG (NASA GES DISC)
- Provider
- NASA GES DISC
- Licence
- NASA open data
- Vintage
- daily; Satellite estimate, near real time
- Newest at build
- 2026-10-12
- Resolution
- about 2 km grid
- Uncertainty
- Satellite estimate, near real time. 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
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.
Hazards now, framed on the Philippines.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 · U.S. Geological Survey · 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
- 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
- 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
- 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 hexagonal cells where shown (modified). NASA open data
- GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); 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
- 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.
- Live: U.S. Geological Survey 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).
- River discharge forecast, 30 days with range (GloFAS via Open-Meteo): Contains modified Copernicus Emergency Management Service information 2026; not a flood warning.
- 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 (20 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
- Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
- Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
- Active fires and thermal anomalies: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
- True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
- Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026
- Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
Recovery succeeds or fails through the five domains.
- WaterHow this field couples to itWater and sanitation restoration often sets the pace of safe return after floods.
- EnergyHow this field couples to itPower restoration order decides when water, health and communications recover.
- FoodHow this field couples to itFood access after disasters depends on markets, transport and cash, not only stocks.
- HealthHow this field couples to itHealth facilities must keep running through the event and the recovery.
- BiodiversityHow this field couples to itRestoring wetlands, mangroves and forests can reduce the next disaster’s losses.
Where resilience evidence goes.
Recovery and exercise evidence is designed for the Country Quarterly series and the Universe Annual Synthesis. Exercise records would carry verification evidence under NS-11 of the proposed Nexus Standards.
- Disaster management authorities can share after-action reviews.
- Local governments can propose a place-based preparedness study.
- Researchers can contribute loss accounting methods.
Hazards are natural; disasters are not.
An earthquake, flood or cyclone becomes a disaster when it meets people and assets that are exposed and vulnerable, and institutions that lack the capacity to cope. Disaster research has long established that losses depend at least as much on where and how people live, how buildings are built, how warnings travel and how quickly services return as on the strength of the hazard itself. The same storm can be an inconvenience in one place and a catastrophe in another.
Disasters cascade because modern systems are tightly coupled. A flood that cuts power stops water treatment and pumping, closes hospitals and disrupts communications just as they are most needed. Supply chains carry disruption to places the hazard never touched. Public budgets absorb emergency costs and then reconstruction, often at the expense of the development spending that would have reduced the next disaster. Recovery that rebuilds the same exposure in the same place resets the cycle.
Three gaps recur across disasters. Warnings are issued but do not reach or convince the people at risk. Plans exist on paper but have not been tested with the people who must carry them out. And recovery decisions are made quickly, under pressure, with little evidence on which choices lead to safer and fairer outcomes. The field exists to close those gaps with evidence.
Evidence on readiness and recovery.
Disaster Resilience and Recovery is designed to produce preparedness evidence guides, recovery case studies and capacity models. Its methods draw on disaster loss data, response and recovery research, and scenario exercise methods. Its users are researchers comparing what works, planners and emergency managers testing their arrangements, and the public bodies and communities who decide how to prepare and rebuild.
Reduce and prepare
Evidence on risk-informed development, continuity planning, early warning and the capacities that let institutions act before and during a crisis.
Warn and respond
How warnings are understood and acted on, how anticipatory action is triggered, and how response systems coordinate.
Recover and learn
How recovery choices shape future risk, how losses are counted, and how exercises turn experience into improved plans.
Built on named methods, connected across three institutions.
The platform applies decision analysis under uncertainty, social and behavioural science, forecasting, optimisation and operations research, geospatial information systems, hydrology, Earth and geophysical science and structural and earthquake engineering; see the STEM foundation. It connects to NXS-EWS (multi-hazard monitoring and warning) and NXS-AAP (anticipatory action and triggers) in Foundry, and to counterparts that govern and finance the same field.
- Disaster and Crisis Governance at GRFInstitutionGRFWhat it addsConvening and dialogue on disaster and crisis governance.
- Disaster Risk Finance at GRAInstitutionGRAWhat it addsShared industry understanding of how disaster costs are financed, without arranging finance.
- Reinsurance and Catastrophe at GRAInstitutionGRAWhat it addsHow catastrophe risk is understood across insurance and reinsurance.
- Public Finance and Sovereign Debt at GRAInstitutionGRAWhat it addsHow disasters reach public budgets and sovereign debt.
Built on named science, technology, engineering and mathematics.
Every claim on Disaster Resilience and Recovery 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.
How this works across the six pillars.
Disaster Resilience and Recovery works through six pillars of one annual programme, led by the Nexus Consortium, with GCRI, the Global Risks Forum (GRF) and the Global Risks Alliance (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.
handoff in playrecorded handoffno direct handoff
Programme yearAll phases
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
- 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
- FoundryWhere methods, data and models become reproducible builds, each run with its inputs, version and limits on record.Disaster Resilience and Recovery in FoundryFoundry
- UniverseWhere a build is tested under controlled conditions with independent evaluators, so a method’s skill is measured, not assumed.Disaster Resilience and Recovery in Universeuniverse.nexus
- Nexus StandardsWhere methods, identifiers and data schemas are codified in the open and corrected when a test finds a fault.Hazards and Disaster Risk Reduction in Standardsnexustandards.com
- ReportsWhere findings are published with their method, uncertainty and evidence class, and corrected as new versions.Disaster Resilience and Recovery in ReportsReports
- Risk AcademyWhere methods and systems are taught on real data and real places, by working the case, on Risk Academy.Faculty of Hazards, Disasters and Resilience in Academyrisksacademy.com
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 standard | Body | What it sets |
|---|---|---|
| Sendai Framework for Disaster Risk Reduction | United Nations, with UNDRR as custodian | Seven global targets, four priorities and indicators for reducing disaster risk and losses |
| UNDRR terminology on disaster risk reduction | UNDRR, endorsed by the UN General Assembly | Agreed definitions of disaster, hazard, exposure, vulnerability, resilience and related terms |
| Post-Disaster Needs Assessment guidelines | European Union, United Nations and World Bank | A common method for assessing damage, losses and recovery needs after disasters |
| Disaster Recovery Framework guide | Global Facility for Disaster Reduction and Recovery (World Bank) | Guidance on planning, financing and implementing recovery that reduces future risk |
| Making Cities Resilient initiative and the Disaster Resilience Scorecard for Cities | UNDRR | A city resilience roadmap and a self-assessment tool built on ten essentials |
| Early Warnings for All initiative | United Nations, led by WMO, UNDRR, ITU and IFRC | Pillars for risk knowledge, detection, dissemination and preparedness to respond |
| Sphere Handbook | Sphere | Humanitarian Charter and minimum standards for humanitarian response |
| Anticipatory action frameworks and the Disaster Response Emergency Fund anticipatory pillar | UN OCHA; International Federation of Red Cross and Red Crescent Societies | Triggers, pre-agreed actions and pre-arranged financing for action ahead of hazards |
| ISO 22301 Business continuity management systems | International Organization for Standardization | Requirements for planning and testing the continuity of critical activities |
The same field, seen three ways.
GCRI studies a field as science, GRF governs it and GRA builds shared financial understanding of it. Disaster Resilience and Recovery links to its counterparts so that work on one side is visible on the others.
- Diplomacy NexusInstitutionGRFShared fieldClimate and hazards
- Climate and Nature GovernanceInstitutionGRFShared fieldClimate and hazards
- Disaster and Crisis GovernanceInstitutionGRFShared fieldDisaster and crisis
- Insurance NexusInstitutionGRAShared fieldClimate and hazards
- Banking NexusInstitutionGRAShared fieldClimate and hazards
- Asset Management NexusInstitutionGRAShared fieldClimate and hazards
- Reinsurance and CatastropheInstitutionGRAShared fieldClimate and hazards, Disaster and crisis
- Disaster Risk FinanceInstitutionGRAShared fieldDisaster and crisis
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.
- Sendai Framework for Disaster Risk Reduction 2015–2030 (UNDRR, 2015)
- Post-Disaster Needs Assessment guidelines (European Union, United Nations and World Bank, 2013)
- Making Cities Resilient 2030 (UNDRR)
- The Sphere Handbook, fourth edition (Sphere, 2018)
- Nexus Standards, the proposed NS series (nexustandards.com)
Pages in Disaster Resilience and Recovery.
Mandate and publisher
PageField overview
PageResearch and evidence
PageInnovation and practical technology
PageProgrammes and projects
PageData and technical methods
PageSpecialist community
PageLearning and professional development
PageEvents and technical dialogues
PageResearch and publications
PageParticipation paths
PageContact the specialist team
PageTrust, rights and status
PageSTEM foundation of Disaster Resilience and Recovery
PageHow work moves in this field
PageBuild in Foundry
PageTest in Universe
PagePublish in Reports
PageThe same field across the Consortium
PageTopics
Where this page leads across the Consortium.
Questions and answers.
Who publishes Disaster Resilience and Recovery?
Is Disaster Resilience and Recovery active?
How can I contribute?
Where are findings published?
Which values on this platform are real?
How do I report an error?
How is this platform different from Climate and Hazards?
Does the platform respond to disasters?
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.
- EmailGateway GW-GCRISend it from this pageEvidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.
- ZenodoOpen depositDeposit it and submit to the communityPublish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.
- ReportsGCRISee every way to contributeThe contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.
Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.
How Disaster Resilience and Recovery 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.
Disaster Resilience and Recovery
How Disaster Resilience and Recovery 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.
01 Scope
- 01Field and familiesStart · The platform leadThe home states the field, its families and who it serves.
- 02Topic dossiersRecord · Platform authorsTopics explain the subject with labelled evidence.
02 Evidence
- 03Evidence labelsRecord · GCRIEach value is labelled: observed, published statistics, estimated, modelled, scenario or unknown.
- 04MethodsStep · Method ownersMethods come from the STEM Commons, each with one canonical page.
03 Work
- 05Scenarios on the systemsModel · Foundry pillarScenarios run on the Nexus systems, labelled as scenario.
- 06Standards that applyRecord · Nexus StandardsThe platform names the standards that apply. A validator report is evidence for review.
04 Publish
- 07EditionsRecord · ReportsFindings are published through Reports with their limits.
- 08Authority decidesOutcome · The competent authorityDecisions and execution stay with the government, operator or licensed institution.
Disaster Resilience and Recovery 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 in Disaster Resilience and Recovery.
Start from who you are. Answer an open call. Or form and lead a competence cell on the Disaster Resilience and Recovery platform.
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 Disaster Resilience and Recovery. 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 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
Every figure on this page is indexed: hazards, infrastructure, society, The Philippines.
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 pageDisaster Resilience and RecoveryMaps, figures and feeds read the Index in the context of hazards, infrastructure, society and The Philippines.Public API
Series in this context hazards, infrastructure, society
- GSGlobal DisasterMulti-hazard exposure, disaster losses and mortality, return-period losses, protection gaps and coping capacity.NXS-GRX-AR-000066Hazards · Crisis · Infrastructure
- THDisaster Risk Reduction (DRR)Hazard, exposure, vulnerability, capacity, preparedness, redundancy and recovery readings for planning and learning, aligned to the Sendai Framework targets.NXS-GRX-AR-000109Hazards · Crisis · Infrastructure
- 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-000002Hazards · Society · Infrastructure
- GSGlobal CitiesUrban exposure, heat, flooding, informal settlement, service dependency and the economic weight of cities at risk.NXS-GRX-AR-000068Hazards · Infrastructure · Society
Country profiles The Philippines
Every country profile carries the source and licence of each value. Correct a value or reply
Hazard domains NHS-1
- Atmosphere and weatherNXS-GRX-AR-000135
- Water systemsNXS-GRX-AR-000136
- Solid EarthNXS-GRX-AR-000138
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.
Bring a method, a dataset or a question.
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.
Legal documents.
Maps, data and figures on this site are shown for context and general information. They are not advice, forecasts or warnings; the limits of the information are set out in the Disclaimers and Data Notices.