GCRI · Agency
Institutional support
Institutional support aims to strengthen an organisation’s ability to perform its mandate: its systems, people, rules and the environment it operates in. It is scoped to eligible organisations, those with a lawful mandate, clean sanctions status and the governance to absorb help. This page sets out how capacity is assessed, how support can weaken the institution it serves, how capacity erodes after support ends, and what the evidence serves for those who decide.
Institutional support in seven parts.
- 01The questionInstitutional support: how the risk develops
- 02In the five domainsInstitutional support strengthens each domain’s agencies
- 03IndicatorsWhat is measured, and how well
- 04SourcesWhere the evidence comes from
- 05DecisionsWho decides, and what the evidence serves
- 06Core questionsWhat frames institutional support
- 07MechanismsCapacity that lasts
Institutional support: how the risk develops.
Scoped support to eligible organisations. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Capacity is systemic
Capacity sits at three levels: individuals, the organisation and the enabling environment of laws, budgets and incentives. Training individuals without changing systems or incentives rarely changes performance.
Parallel structures substitute
Project units with salary supplements draw skilled staff out of the line ministry. Work gets done, but in a structure that closes when funding ends, leaving the ministry weaker than before.
Reform meets interests
Changes to procurement, payroll or revenue systems shift power and rents. Resistance can stall or hollow out a reform while formal milestones are still met, so compliance on paper and change in practice diverge.
Capacity erodes after exit
When support ends, unfunded recurrent costs, staff turnover and unmaintained systems erode gains. Weak financial management then shows up in audit qualifications and service failures, and in the next diagnostic.
People and hazards in East Africa.
Population density, night lights and flood water over East Africa, 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 hazards, 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 (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
- 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
- MODIS Terra EVI (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite index; clouds leave gaps
- Newest at build
- 2026-10-13
- Resolution
- about 250 m grid
- Uncertainty
- Satellite vegetation index for the 8 days to the date shown, a habitat condition indicator; not a measure of species or biodiversity.
- 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.
People and hazards, framed on East Africa.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
- 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).
- Optional layers (5 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.
Layers and dates
- Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
- Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
- Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
- 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
- Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026
Institutional support strengthens each domain’s agencies.
Support outcomes are evaluated against OECD DAC criteria (2019) and reported in the Portfolio and Readiness series.
- Needs assessments.
- Evaluations of support.
Assignment and team board.
The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.
Assignment and team board
Institutional support · Assignment pool · Quarter 1
Assignments
Team record
| Team lead | Disaster risk management | None declared | Confirmed |
| Hydrologist | Flood modelling | Declared, managed | Confirmed |
| Data engineer | Pipelines | None declared | Invited |
| Reviewer | Independent | None declared | Confirmed |
Scope
- Requester
- Requesting institution
- Duration
- 6 weeks
- Authority
- stays with the requester
- Fee
- no fee stated
What is measured, and how well.
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | Cadence | Source type | Label |
|---|---|---|---|---|
| Public expenditure and financial accountability indicator scores | ordinal score, A to D | per assessment | PEFA assessments | Published statistics |
| Public sector management and institutions cluster rating | rating on a six-point scale | annual | World Bank CPIA | ESTIMATED |
| Government effectiveness estimate | standard normal units with standard error | annual | Worldwide Governance Indicators | ESTIMATED |
| Procurement system assessment results by pillar | assessment findings and gaps | per assessment | MAPS assessments | Published statistics |
| Vacancy rate in established posts of the supported unit | percent of posts | annual | Establishment and payroll records | Published statistics |
| Positions funded by external programmes | count of positions | annual | Payroll and programme records | REPORTED |
| Recurrent costs of supported functions covered by the national budget | percent of recurrent cost | annual | Budget documents | Published statistics |
| Staff turnover in counterpart units | percent of staff per year | annual | Human resource records | REPORTED |
Model institutional support as a system. Run the cascade.
Assembled from the Nexus Standards area profile Disaster risk reduction: 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
- Tropical cyclone
- Flash flood
- Heatwave
- Ice-jam flood
- HIV epidemic
- Earthquake
- Storm surge (set off downstream)
- Intense rainfall (set off downstream)
- River 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)
- Flash drought (set off downstream)
Systems and couplings
Controls
NS-0Constitution and principlesNS-1The UNI and the artefact catalogue (grammar v0.2: domain, sector, region and environment segments)NS-3Risk record UNIs (grammar, legacy crosswalk, allocation authority)NS-3bDataset and product metadata profile (STAC, DCAT, PROV-O)NS-9Contextual UNIs (deployments, instances, programme instances)NS-11Verification and monitoring (evidence, attestations, zero-trust conformance observation)NS-14Conformance and crosswalk to external standardsNRS-C15Loss, damage and impact accountingNRS-H114Hazard family: Macroeconomic and fiscal shocks (NHS-1 soc.macro-fiscal)NRS-K20Domain pack profile: Climate adaptation (DOMAIN-020)NRS-H54Hazard family: Signal and platform disruption (NHS-1 cyber.platform)NRS-H65Hazard family: Planetary boundary transgressions (NHS-1 planet.boundary)NRS-H119Hazard family: Cultural heritage loss (NHS-1 soc.heritage)
Observation
- DesInventar disaster loss databases (listed for reference)
- INFORM Risk Index (listed for reference)
- Global SDG Indicators Database (listed for reference)
- EM-DAT international disaster database (listed for reference)
- Number of deaths and missing persons attributed to disasters per 100,000 population
- Number of directly affected people attributed to disasters per 100,000 population
- Direct economic loss attributed to disasters in relation to global GDP
- Damage to critical infrastructure attributed to disasters
- Number of countries that adopt and implement national DRR strategies
- Total public international support for national disaster risk reduction actions (Sendai indicator F-1)
- Number of countries that have multi-hazard early warning systems
- Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population
Example geography
- Bangladesh: 134 hexagonal cells
- Rain rate, last half hour (IMERG), NASA GIBS
- Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
- Surface air temperature, daytime (AIRS), NASA GIBS
- Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
Where the evidence comes from.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| Source | What it gives | Licence class |
|---|---|---|
| PEFA assessments (PEFA Secretariat) | Assessments of public financial management performance against a common framework | Public reports where the government consents to publication |
| Worldwide Governance Indicators (World Bank) | Composite estimates of government effectiveness, regulatory quality and control of corruption | Open, CC BY 4.0 |
| Country Policy and Institutional Assessment (World Bank) | Ratings of policy and institutional frameworks, including public sector management | Open, CC BY 4.0 |
| MAPS assessments (MAPS Secretariat, OECD) | Assessments of public procurement systems by pillar and indicator | Public reports where the government consents to publication |
| SIGMA monitoring reports (OECD and European Union) | Assessments against the Principles of Public Administration | Public reports, OECD terms |
| National civil service and budget records | Establishment, payroll, vacancy and recurrent cost data | Public records, terms per government |
How institutional support 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.
Datasets and provenance
The data classes behind institutional support and what is recorded about each before it is used.
| Data class | Provenance recorded | Resolution stated | Licence checked |
|---|---|---|---|
| Satellite imagery, optical and radar | sensor, processing level, acquisition date | pixel size and revisit | per scene |
| Reanalysis and climate model output | model, experiment, member, version | grid and time step | per release |
| In-situ sensors and gauges | station, instrument, calibration record | point and sampling rate | per network |
| Population and asset exposure | method, vintage, input sources | cell size and unit | per release |
| Boundaries and reference geography | producer, edition, date | scale | per edition |
- Lineage
- W3C PROV record from source to figure
- Principles
- FAIR: findable, accessible, interoperable, reusable
- Gaps
- shown as missing, never filled silently
Who decides, and what the evidence serves.
Agency prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Who decides | The question | Evidence this page serves |
|---|---|---|
| Ministry of finance or public service commission | Whether the institution can fund and staff the supported functions after the programme | Recurrent cost coverage, vacancy rates and positions funded externally |
| Governing board or head of the beneficiary institution | Which reforms to own and sequence, and which support to decline | Capacity map at three levels; diagnostic findings by indicator |
| Funding agency | Whether an organisation is eligible for support and what conditions apply | Eligibility checklist; diagnostic and safeguard evidence |
| Parliamentary public accounts committee | Whether supported institutions are improving in practice, not only on paper | Repeat diagnostic results with methods kept comparable |
Outputs this topic produces
- Capacity maps across individual, organisational and enabling-environment levels
- Eligibility checklists covering mandate, governance and sanctions status
- Sustainability notes on recurrent costs, staffing and system ownership
- Exit plans that set what the institution must fund and run after support ends
What frames institutional support.
- Is the organisation eligible, and does it hold a mandate for the work?
- What capability does it need, and what does it already have?
- How will the organisation sustain the capability after support ends?
- How is the work governed, and who on the host side owns it?
Capacity that lasts.
Capability rests on people, processes, tools and authority working together. Support that delivers a tool without the staff to run it, or trains staff who then have no mandate or budget to apply their skills, rarely lasts. Staff turnover, procurement constraints and changes in leadership can unwind progress quickly.
Lasting support therefore begins with a baseline of current capability, agrees a small number of priority gaps, pairs outside experts with named host counterparts and leaves documented processes and maintainable tools behind.
Signals that capability will last.
- Named host counterparts for every outside specialist, with time allocated to the work.
- Processes documented in the host’s own systems and language.
- Tools the host can operate, maintain and procure support for without the original team.
- Leadership sponsorship that survives a change of personnel.
How it is studied, and what the methods cannot say.
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.
Questions and answers.
What makes an organisation eligible for institutional support?
Why can project implementation units weaken ministries?
Can governance indicators show whether support worked?
Who is eligible for institutional support?
Can a private company receive support?
Does support continue indefinitely?
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