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Reports · GCRI · Established

Governance and institutions · Development finance

Agency in Reports

Competence-based technical assistance, staffing and expert-matching enquiries under explicit terms and mandates. This page shows the series it feeds, the evidence behind it and how to contribute.

Series
1
Systems
3
Methods
2
01In brief

What this area brings to the editions.

Competence-based technical assistance, staffing and expert-matching enquiries under explicit terms and mandates.

02Field

Agency on the map.

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
static product; 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

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-ALERT

Sources and licences

  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). 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 H3 cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • 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 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.
  • 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

03In the editions

9 findings of the drafted editions that bear on Agency.

Drawn from the Baseline Edition 2026 drafts through the systems this area reads. Each opens at its anchor in its edition, with its numbered sources.

  1. AREUnited Arab EmiratesReal GDP grew 4.0% in 2024 and the IMF projects 4.8% for 2025 and 5.0% for 2026; fuel was 68% of merchandise exports in 2023, and the non-oil primary balance is a deficit of 15.1% of non-hydrocarbon GDP in 2025.REPORTED · COUNTRY-ARE-FIN-011
  2. ARGArgentinaPoverty was 32.3% of people in the first half of 2026, up 4.1 points on the second half of 2025, under a US$20 billion IMF programme.REPORTED · COUNTRY-ARG-FIN-010
  3. AUAfrican UnionSub-Saharan Africa had 1.32 billion people in 2025, growing 2.4% a year, and 40.4% of them were under 15.REPORTED · COUNTRY-AU-DEV-001
  4. BRABrazilGeneral government gross debt was 93.3% of GDP in 2025 on IMF definitions, with the policy rate at 14.0% at end-2025.REPORTED · COUNTRY-BRA-FIN-011
  5. CHESwitzerlandGDP grew 1.4% in 2025 and inflation was 0.2%, and the IMF assessed the debt brake as appropriate while noting that the shift to a low-carbon economy will raise spending needs.REPORTED · COUNTRY-CHE-FIN-010
  6. CHNChinaMeteorological disasters in 2025 left 628 people dead or missing and caused 231.78 billion yuan of direct loss, 26.3% fewer deaths and missing and 28.8% less loss than the 2015 to 2024 average.REPORTED · COUNTRY-CHN-FIN-003
  7. EUEuropean UnionWeather and climate extremes caused about EUR 822 billion of losses from 1980 to 2024, and less than 20% was privately insured.REPORTED · COUNTRY-EU-FIN-010
  8. GS-02Global EnergyGlobal energy investment is estimated at USD 3.4 trillion in 2026, against USD 2.6 trillion in 2015, with electricity supply and infrastructure at about USD 1.6 trillion.REPORTED · SECTOR-ENERGY-GLOBAL-FIN-005
  9. GS-03Global Food and Agrifood SystemsAbout 266 million people in 47 countries and territories faced high levels of acute food insecurity in 2025, 22.9% of the analysed population, with famine confirmed in parts of the Gaza Strip and the Sudan; the total mainly reflects fewer countries analysed than in 2024.REPORTED · SECTOR-FOOD-GLOBAL-GOV-005
04Evidence path

From Foundry evidence to the series.

The evidence, step by step, from the systems this area reads to the series it feeds.

How Agency reaches Reports: what it reads, how it reads it, the sealed cut and the series it feeds.

StepWhat happensSource
01 What it readsAgency reads NXS-HUB (knowledge, records and learning) and NXS-RLS (participants, agreements and handoffs): governed sources with their releases, never a value without its source.
02 How it reads themSystems engineering and Decision analysis under uncertainty turn the evidence into findings, with assumptions and limits stated beside each value.
03 The cut is sealedEach quarter the evidence is sealed in one cut, so OBSERVED, REPORTED and ESTIMATED values stay apart and every edition can be rebuilt.
04 The series it feedsThe cut feeds Portfolio and Readiness, from the Baseline Edition 2026 into the quarterly series.
05 Who decidesDecisions stay with the authorities that hold them, under their own rules; an edition informs a decision and never makes it.

A teaching model of the evidence path, not a forecast and not a record of any run; the systems, methods and series named come from the registries. Sources: Agency in Reports (2026); Agency home (2026).

05Series

The series it feeds, and what backs each.

SeriesFoundry systems it draws onAcademy disciplinesSeries home
Portfolio and ReadinessNXS-CMD (integrated posture and executive synthesis) national and programme portfolios with their readiness evidence
NXS-AAP (anticipatory action and triggers) whether early actions can be delivered within their lead time
NXS-RLS the commitments and conditions attached to each portfolio item
Development finance
Enterprise risk management and risk frameworks
Early warning and anticipatory action
Portfolio and Readiness series home
07Across the Consortium

Where the same subject is reported elsewhere.

09Contribute

Contribute on Agency.

Evidence, a case, a correction, a method or profile input on this subject. The composer tags it with this area and its series.

Contribution composer

Write a contribution the editor can act on.

Say what it is, where its record is kept and on which licence. It arrives tagged with this page, its area and its gateway, so it reaches the editor who owns it.

Your email opens with the subject and a template already filled in for GW-GCRI.

  • Evidence
  • Correction
  • Case study
  • Analysis or method
  • Peer review
  • Translation
  • Profile input

Never send personal data or sensitive infrastructure detail. A contribution is reviewed before use; sending it confers no authorship or editorial rights.

10Open science

Open science for Agency.

How a contribution on this subject is deposited, identified, credited, licensed and found, and the metadata for it prefilled from this page.

Agency’s open record

Area
Agency
Feeds
Portfolio and Readiness
Record
A UNI for every accepted contribution; cited with its DOI in the edition that uses it
Links
isSupplementTo the edition it informs; isNewVersionOf its earlier version
Licence
CC BY 4.0 (SPDX CC-BY-4.0) for original material; metadata CC0 1.0

Credit and identity

ORCID
Your iD in the deposit and the contribution record; DataCite can then add the work to your ORCID record
ROR
Your organisation by its ROR identifier, never by a typed name alone
CRediT
Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualisation, Writing, review and editing
Account
None needed to contribute; never a password

Find and follow

Search the open indexes for Agency; software is cited by its SWHID from Software Heritage. Annotation is your choice: Hypothesis opens this page in its own viewer.

Mirrors and harvest

The DOI is canonical. At release each signed bundle is also given an IPFS content identifier and a bloxberg anchor as mirrors; both are listed in the record once they exist. Zenodo exposes every record over OAI-PMH, and reviews and endorsements can arrive through COAR Notify where the repository supports it.

InvenioRDM metadata for a contribution on Agency, prefilled from this page
{
  "metadata": {
    "resource_type": {
      "id": "dataset"
    },
    "title": "Evidence on Nexus Agency for Nexus Reports",
    "publication_date": "YYYY-MM-DD",
    "creators": [
      {
        "person_or_org": {
          "type": "personal",
          "family_name": "Your family name",
          "given_name": "Your given name",
          "identifiers": [
            {
              "scheme": "orcid",
              "identifier": "0000-0000-0000-0000"
            }
          ]
        },
        "affiliations": [
          {
            "id": "ROR identifier of your organisation"
          }
        ]
      }
    ],
    "description": "What it is, where its record is kept and how it bears on Nexus Agency in Nexus Reports.",
    "rights": [
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        "id": "cc-by-4.0"
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    "subjects": [
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        "subject": "Nexus Agency"
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        "subject": "Governance and institutions"
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        "subject": "Development finance"
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    "related_identifiers": [
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        "identifier": "https://therisk.global/nexus-reports/areas/nexus-agency/",
        "scheme": "url",
        "relation_type": {
          "id": "issupplementto"
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        "resource_type": {
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    "version": "1.0.0"
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}
11Latest

Releases for this area.

Releases tagged to this area appear here once released.

ReportsContribute

Send evidence on Agency.

Reports is the Consortium’s quarterly publication, written by six desks. This page sits with the Global Centre for Risk and Innovation (GCRI) Systems Evidence desk. 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. Sent to the wrong desk, it is forwarded, not refused.

GCRI Systems Evidence deskAgencyPortfolio and Readiness
Reports · GCRI

Bring what you know to the next edition.

Every quarter closes on a sealed evidence cut. Contributions received before the cut are reviewed for that edition; later ones wait for the next.

CC BY 4.0 Free to read. Text and figures: CC BY 4.0. Data: CC0 1.0. Authors keep copyright. Published by GCRI Canada.