GCRI · Agency

Agency

Competence-based technical assistance, staffing and expert-matching enquiries under explicit terms and mandates. Agency is an established platform of The Global Centre for Risk and Innovation.

STEM methods
2
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
9
Platforms in shared fields across the network
Report series
1
Reports series it contributes to
01Canvas

How the work runs.

Systems · around this subjectIllustrative

Assignment and team board

Assignment pool · Quarter 2

One team awaiting independence reviewGCRI · Agency

Assignments

Request02
Flood recovery planning supportCountry team A
Data system reviewInstitution B
Scoping01
Heat-health plan review5 experts proposed
Independence check01
Water utility auditDeclaration pending
In field01
Early warning assessmentWeek 3 of 10
Close-out01
Agriculture data auditReview signed

Team record

Team leadDisaster risk managementNone declaredConfirmed
HydrologistFlood modellingDeclared, managedConfirmed
Data engineerPipelinesNone declaredInvited
ReviewerIndependentNone declaredConfirmed

Scope

Requester
Requesting institution
Duration
4 weeks
Authority
stays with the requester
Fee
no fee stated
Assignment and team board: the screen’s structure, terms and states for Assignment pool.Example names and illustrative values; a design, not a record or a live system.

Fig.Assignment and team board: example names and illustrative values, not a record or a live system.

02What the platform does

Scoping, matching and supervision for mandated work.

Agency is designed for four groups: eligible experts who want to contribute their competence; project sponsors who need specialists for a scoped task; institutions that hold a mandate and need support to deliver it; and programme coordinators who form interdisciplinary teams.

  1. 01

    Engagement scoping

    A host request is turned into a written scope: question, deliverables, term, limits and supervisor, following technical assistance types and boundaries.

  2. 02

    Competence matching

    Candidates are compared on documented competence in the fields of the specialist network, as set out under fields of expertise and skills and review.

  3. 03

    Conflict checks

    Interests are declared and recorded, and a reviewer with a conflict never signs the relevant acceptance.

  4. 04

    Supervision and closeout

    Every assignment has a named supervisor, acceptance criteria and a contribution record at closeout; teams follow interdisciplinary teams.

Agency is designed to publish expert pathways, capacity maps and records of legitimate technical assistance enquiries. It does not employ the experts it matches unless a written contract with GCRI Canada or GCRI US says so.

03Simulator

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 East Africa; 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
YearPressureCapacityPerceived
020.050.020.0
423.344.921.2
827.242.224.0
1231.742.327.7
1636.845.532.2
2042.351.537.2
2447.960.342.6
2853.271.348.0
3257.884.353.1
3666.498.458.4
4082.7115.969.7
4497.8139.783.8
48109.1169.497.3

Methods

  1. System dynamics Forrester (1961), Industrial Dynamics, MIT Press; Sterman (2000), Business Dynamics
  2. Critical transitions and tipping points Scheffer and others (2009), Early-warning signals for critical transitions, Nature 461
  3. Causal loop diagram Sterman (2000), Business Dynamics, McGraw-Hill
  4. Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  5. 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.

Stocks, flows, delays and a tipping threshold. Illustrative teaching model: it runs on the values set by the controls, not on measured data. 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).

Across the six pillars, led by Nexus Consortium

05Twin and cascade simulator

Model agency 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)

Controls

  • NS-0 Constitution and principles
  • NS-1 The UNI and the artefact catalogue (grammar v0.2: domain, sector, region and environment segments)
  • NS-3 Risk record UNIs (grammar, legacy crosswalk, allocation authority)
  • NS-3b Dataset and product metadata profile (STAC, DCAT, PROV-O)
  • NS-9 Contextual UNIs (deployments, instances, programme instances)
  • NS-11 Verification and monitoring (evidence, attestations, zero-trust conformance observation)
  • NS-14 Conformance and crosswalk to external standards
  • NRS-C15 Loss, damage and impact accounting
  • NRS-H114 Hazard family: Macroeconomic and fiscal shocks (NHS-1 soc.macro-fiscal)
  • NRS-K20 Domain pack profile: Climate adaptation (DOMAIN-020)
  • NRS-H54 Hazard family: Signal and platform disruption (NHS-1 cyber.platform)
  • NRS-H65 Hazard family: Planetary boundary transgressions (NHS-1 planet.boundary)
  • NRS-H119 Hazard 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
06Frameworks

What the work is read against.

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

Framework or standardBodyWhat it sets
DAC evaluation criteriaOECD Development Assistance CommitteeRelevance, coherence, effectiveness, efficiency, impact and sustainability as the reference for judging development interventions
Paris Declaration, Accra Agenda for Action and Busan PartnershipOECD and the Global Partnership for Effective Development Co-operationPrinciples of country ownership, alignment, use of country systems, results and mutual accountability
IATI StandardInternational Aid Transparency InitiativeData format for publishing activities, participants, budgets, results and documents of development co-operation
Open Contracting Data StandardOpen Contracting PartnershipStructure for disclosing data and documents at every stage of public contracting
PEFA FrameworkPEFA Secretariat and partnersIndicators and scoring for public financial management performance, including procurement and external audit
Environmental and Social FrameworkWorld BankStandards on environmental and social risk, labour, community health and safety and stakeholder engagement in financed projects
ISO 37001 anti-bribery management systemsInternational Organization for StandardizationRequirements for preventing, detecting and responding to bribery, including due diligence on associates
ISO 21502 guidance on project managementInternational Organization for StandardizationConcepts and practices for governing, directing and managing projects across their life cycle
MAPS Methodology for Assessing Procurement SystemsMAPS Secretariat hosted by the OECDAssessment of public procurement legal, institutional, operational and integrity pillars
Common Approach to Prospective Risk ManagementUnited Nations systemShared approach to anticipating and managing risk across UN entities and programmes
07Methods and evidence

How agency 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 agency and what is recorded about each before it is used.

Data classProvenance recordedResolution statedLicence checked
Satellite imagery, optical and radarsensor, processing level, acquisition datepixel size and revisitper scene
Reanalysis and climate model outputmodel, experiment, member, versiongrid and time stepper release
In-situ sensors and gaugesstation, instrument, calibration recordpoint and sampling rateper network
Population and asset exposuremethod, vintage, input sourcescell size and unitper release
Boundaries and reference geographyproducer, edition, datescaleper edition
Lineage
W3C PROV record from source to figure
Principles
FAIR: findable, accessible, interoperable, reusable
Gaps
shown as missing, never filled silently
Data classes and the provenance fields recorded for each; a dataset is listed by name only once its licence admits the use.

Model, equations and assumptions

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

Risk of element iRi = f(Hi, Ei, Vi, Ci)hazard, exposure, vulnerability and coping capacity
Expected annual lossEAL = ∑k pk · Lkover events k with annual probability pk
Coupled systemsxt+1 = A xt + B ut + εtA carries the couplings, u the shock, ε the error
AssumptionWhy it is madeHow it is tested
Hazard and exposure are independent within an eventKeeps the loss integral tractableCompare with a copula fit on joint records
Couplings are linear near the operating pointLets shocks propagate through APerturb beyond the linear range and compare
Vulnerability curves transfer between placesLocal curves are rarely availableValidate against observed losses where they exist
Inputs
versioned datasets with provenance
Outputs
distributions, never single numbers
Code
released with the model card and tests
Reproduction
same data, code, environment and seed
Standard risk and state-space formulations; the assumptions listed are typical of the method, stated for review, not results.
FAIR guiding principles · GO FAIR and FORCE11W3C PROV · World Wide Web ConsortiumGuidance on consistent treatment of uncertainties · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
08Overview

What Agency does.

Technical assistance is the provision of knowledge, skills and analysis to an institution that holds a public mandate, without transferring that mandate. Agency studies how assistance is scoped, staffed, supervised and closed, and how weaknesses at each step become delivery, safeguard and accountability risk for the institutions served.

Who it serves

Its community

Eligible experts; project sponsors; institutions; programme coordinators.

How it works

Its methods

Competence matching; conflict checks; engagement scoping; supervision.

What it produces

Its outputs

Expert pathways; capacity maps; legitimate technical assistance enquiries.

09Geography

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

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

10Mandate and boundaries

What Agency provides, and what technical assistance is not.

Agency organises bounded technical assistance and expert support: a defined scope, named experts with declared interests, supervision, and a closeout that records what was delivered and what was not. Assistance builds capacity in the receiving institution; it is not procurement, financing, an execution mandate or authority over the institution served.

Experts act within their engagement; they do not speak for GCRI outside it, and no engagement creates an employment, agency or partnership relationship beyond its written terms.

12Reports, standards and contributions

How assistance is reported, and how experts can join.

Closeout records and lessons from assistance are designed for the Portfolio and Readiness series, with outcomes evaluated against OECD DAC criteria. Engagement records would carry contextual identifiers under NS-9 of the proposed Nexus Standards.

  • Experts can register their competence and declare interests.
  • Institutions can describe a need; scoping is the first step and creates no obligation.
  • Evaluators can review closed engagements.
13The problem

Capability gaps are where risk programmes fail.

Most national and institutional risk programmes do not fail for lack of strategy. They stall because the people who can build a flood model, design a data-sharing agreement, run a supervised field survey or review an early-warning system are not available where and when they are needed.

Scope

Bounded work

Assistance answers a defined question under a host mandate. It never carries procurement, financing or execution authority.

Competence

Evidence, not titles

People are matched on work products, references and scoped tasks, read against the methods the work needs.

Integrity

Declared conflicts

Financial, institutional and personal interests are declared and managed before selection, not after.

Technical assistance is meant to fill that gap, but it has well-known failure modes. Scope drifts until advisers take decisions that belong to the host. Experts are chosen for title or network rather than demonstrated competence. Conflicts of interest go undeclared, so assistance becomes a route to future contracts. Volunteers and students are given high-consequence work without supervision. And when the project ends, knowledge leaves with the consultants and the host is left with documents it cannot maintain.

Each of these failures compounds the risk the assistance was meant to reduce. A poorly scoped hazard assessment can misdirect investment for years; an unsupervised data task can expose personal information; a captured adviser can tilt procurement. Good assistance is therefore a discipline in its own right, with methods drawn from systems engineering, decision analysis and professional ethics.

15Coverage

The areas of governance and institutions this platform takes on.

Agency studies how technical assistance, expert engagement and institutional support are scoped, staffed, supervised and closed, and how weaknesses at each step become delivery, safeguard and accountability risk for the institutions served. Its pages set out mechanisms, indicators, sources, methods and the decisions each step involves, naming who holds each decision. Every indicator is a name and a unit, not a value, and every source carries its licence.

Area

Technical assistance scope

Mandates, terms of reference, acceptance criteria and the line between advice and decision.

Area

Expert competence

Evidence of skill and relevant experience, verification of credentials and roles, and substitution rules.

Area

Team formation

Interdisciplinary composition, interfaces between workstreams and a single accountable holder for each deliverable.

Area

Institutional support

Capacity at individual, organisational and enabling-environment levels, eligibility and sustainability after exit.

Area

Research and field work

Duty of care, security and health, research ethics, data protection and supervision at a distance.

Area

Conflict and independence

Conflicts of interest, procurement neutrality, sanctions and debarment screening.

Area

Engagement types

Staff, consultant, secondment and volunteer roles, with their rights, duties, cover and ownership of work.

Area

Closeout and learning

Completion evidence, audit, evaluation, lawful handover and records that later work can use.

16Grounding

Built on named science, technology, engineering and mathematics.

Every claim on Agency 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.

Systems engineeringDecision analysis under uncertainty

See the STEM foundation of Agency

17Cycle

How work moves in this field.

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

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

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

18Six pillars

How this works across the six pillars.

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

Select pillars · hover lines18 / 18 handoffs

Route

The whole programme

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

L · F · U · S · R · A

Pillars
6 of 6
Handoffs
18 of 18
Loops
17 closed

Handoffs in play

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

and 14 more

F01 to F14 are the recorded handoffs of the programme year, each with the artefact that moves and its phase; R1, R2, R3 and R4 carry work around the ring. A loop counts when every pillar on it is selected. Every pillar is led by the Nexus Consortium.
  1. LabsWhere questions become experiments and prototypes: new methods, data and tools are tried in the open, with their limits on record, before the Foundry builds them, under the Nexus Consortium.Labs
  2. FoundryWhere methods, data and models become reproducible builds, each run with its inputs, version and limits on record.Agency in FoundryFoundry
  3. UniverseWhere a build is tested under controlled conditions with independent evaluators, so a method’s skill is measured, not assumed.Agency in Universeuniverse.nexus
  4. Nexus StandardsWhere methods, identifiers and data schemas are codified in the open and corrected when a test finds a fault.Foundations and Governance in Standardsnexustandards.com
  5. ReportsWhere findings are published with their method, uncertainty and evidence class, and corrected as new versions.Agency in ReportsReports
  6. Risk AcademyWhere methods and systems are taught on real data and real places, by working the case, on Risk Academy.Faculty of Governance, Policy and International Affairs in Academyrisksacademy.com
22Questions

Questions and answers.

Who publishes Agency?
The Global Centre for Risk and Innovation (GCRI) publishes Agency and is responsible for what it publishes. GCRI is a research, development and policy institution. It is not a regulator, and it does not certify, license or approve; its findings carry their methods and uncertainty.
Is Agency active?
Agency is an established platform of The Global Centre for Risk and Innovation. Information and enquiries are open today. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.
How can I contribute?
Start with the participation paths or write to the contact form. An enquiry receives a reference; it does not create membership, a role or an assignment.
Where are findings published?
Reviewed outputs appear on the publications page, and contributions to the Reports series are listed on Publish in Reports.
Which values on this platform are real?
Indicator names, units, sources, methods and frameworks are real. Levels in figures and canvases are examples in a design. A programme replaces them with labelled evidence it owns.
How do I report an error?
Use corrections and concerns, or write to the integrity concern form. A correction is recorded as a new version, never a silent edit.
Who publishes Agency?
The Global Centre for Risk and Innovation (GCRI) publishes Agency and answers for its content. GCRI is a research, development and policy institution; it does not regulate, certify, license or approve.
Is Agency a recruitment agency or employer?
No. It scopes work, matches competence and supervises assignments under written terms. Employment by GCRI arises only from a written contract with GCRI Canada or GCRI US.
ReportsContribute

Contribute evidence from this page.

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

GCRIAgencyPortfolio and Readiness
How it works

How Agency 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.

Agency

How Agency works

Platforms · Programme year · Standards · Reports

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

  1. 01 Scope

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

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

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

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

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

Take part

Take part in Agency.

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

Route

National institutions

Ministries, statistics offices and agencies: a national desk and chapter, and a seat in the working groups. National chapters

Route

Sectors and professions

Operators, regulators, banks, insurers and professional bodies whose work touches Agency. Participate

Route

Learning

Courses and practice, with a record of every course completed. Free to study. Open learning

Route

Standards

Draft, review and adopt the methods and data standards with the working groups. Working groups

Route

Communities and research

Universities, civil society and individual experts: projects, data and review. Write to the team

The Global Risks Index

Every figure on this page is indexed: governance, conflict, society, East Africa.

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

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

Series in this context governance, conflict, society

  1. 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-000002Conflict · Society · Governance
  2. GSGlobal Policy and institutionsGovernance weakness, state capacity, rule of law, preparedness frameworks and the institutional ability to anticipate and adapt.NXS-GRX-AR-000072Governance · Crisis · Conflict
  3. SRConflict, fragility and human securityConflict risk and escalation, fragility, organised violence, civilian harm and the conflict–climate–food–displacement nexus.NXS-GRX-AR-000075Conflict · Governance · Society
  4. SRInformation integrity and social cohesionInformation disorder, polarisation, trust and cohesion as amplifiers of every other risk.NXS-GRX-AR-000084Governance · Society · Conflict

All 54 series · The 20 domain indices

Country profiles East Africa

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

Hazard domains NHS-1

Geodata and API open

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

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

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

Agency

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.

The Global Centre for Risk and Innovation

Science · evidence · measurement

Not for profit

Our articles, maps and twins are free to read and free to republish. Readers and partners keep it that way.

Partner with us

Who funds us

GCRI is a not-for-profit institution. To ask who funds a piece of work, use the funding questions form.

Independence

Editors and the expert reviewers named on each article decide what we publish. Funders and partners do not review or approve articles before publication.

Licence

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