NXS-GRX governance – GLOBAL RISKS INDEX (GRIx)

01Stewards

Three independent stewards

The Nexus Consortium is stewarded by three independent not-for-profit institutions: GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organization, The Global Risks Forum (GRF) and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm's length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.

Technical truth

GCRI Canada

Evidence, methods, risk ontology, data discipline, verifiable records and correction.

Public meaning

The Global Risks Forum

Public-good legitimacy, claims discipline, public-safe risk reporting and stakeholder formation.

Capital meaning

The Global Risks Alliance

Readiness literacy, capital-readability, insurance-readiness and disaster-risk-finance questions, without advice.

02Review

Review and release

Each edition passes method review, data and licence review, the public-safe screen and steward review; an independent statistical audit reviews each major methodology version.

DraftComputedEvidence boundReviewedApproved for releasePublishedCorrectedSuperseded

03Release run

Review gates in the release workflow

The audit and steward gates hold the run until the named reviewers record a disposition.

on: evidence cut

Edition release: review gates

In progressTriggered by NXS-GRX (canonical data, provenance and risk) run service13 jobs2 approval gates6 matrix jobs

Graph

01Cut

02Ingest

03Ingest

04Indicators

05Indices

06Indices

07Indices

08Uncertainty

09Uncertainty

10Review

11Review

12Publish

100%

Timeline

Job0 d5 d10 d15 d20 dTarget

Evidence cut frozenNXS-GRX run service1 h

Licence gateLicence register1 h

HarmoniseNXS-GRX run service6 h

IndicatorsNXS-GRX run service4 h

Sub-indicesNXS-GRX run service1 h

Domain indicesNXS-GRX run service1 h

Coupling scoreNXS-GRX run service2 h

1,000 Monte Carlo drawsMonte Carlo engine3 h

Intervals, classes, SobolMonte Carlo engine1 h

Statistical auditIndependent reviewer10 d

Steward reviewStewards10 d

Profiles and seriesFoundry2 h

Tiles and bulk filesFoundry2 h

End to end on the longest path: about 20.9 d of proposed target service levels. Gates wait for the people named; bars with a fading end have no fixed length.

Steps

Evidence cut frozen
Cut · NXS-GRX run service · 1 hour
Input vintages pinned
NXS-GRX run servicePostgreSQL ledger (row-level security)
Licence gate
Ingest · Licence register · 1 hour
Admitted, isolated or withheld
Licence register
Harmonise matrix · 150 sources
Ingest · NXS-GRX run service · 6 hours
Units, areas, time
NXS-GRX run serviceindicator standard
Indicators matrix · 451 × 195
Indicators · NXS-GRX run service · 4 hours
Derivations, flagged imputation
NXS-GRX run serviceindicator standard
Sub-indices matrix · 86
Indices · NXS-GRX run service · 1 hour
Normalise, weight, aggregate
NXS-GRX run serviceTested model kernels
Domain indices matrix · 20
Indices · NXS-GRX run service · 1 hour
Twenty domain indices
NXS-GRX run serviceTested model kernels
Coupling score
Indices · NXS-GRX run service · 2 hours
DebtRank, clearing, cascades
Dependency networkTested model kernels
1,000 Monte Carlo draws matrix · 1,000
Uncertainty · Monte Carlo engine · 3 hours
Weights, normalisation, aggregation, imputation
Monte Carlo engine
Intervals, classes, Sobol
Uncertainty · Monte Carlo engine · 1 hour
90% intervals · Class probabilities · Sensitivity
Monte Carlo engine
Statistical audit approval
Review · Independent reviewer · 10 days
Coherence, stability
Tested model kernels
Steward review approval
Review · Stewards · 10 days
Method, evidence, public-safe screen
PostgreSQL ledger (row-level security)
Profiles and series matrix · 195 + 59
Publish · Foundry · 2 hours
Published with intervals
Public cut APINS-1 UNI catalogue
Tiles and bulk files
Publish · Foundry · 2 hours
ISO3, ADM1, ADM2, H3 · Deposit with DOI
Vector tilesZenodo deposit

Artifacts

Artifact	Job	Who	Stage
Cut record	Evidence cut frozen	NXS-GRX run service	Cut
Withheld counts	Licence gate	Licence register	Ingest
HAR series	Harmonise	NXS-GRX run service	Ingest
IND values	Indicators	NXS-GRX run service	Indicators
SUB values	Sub-indices	NXS-GRX run service	Indices
IDX values	Domain indices	NXS-GRX run service	Indices
S per country	Coupling score	NXS-GRX run service	Indices
Draw set with seed	1,000 Monte Carlo draws	Monte Carlo engine	Uncertainty
Uncertainty report	Intervals, classes, Sobol	Monte Carlo engine	Uncertainty
Audit note	Statistical audit	Independent reviewer	Review
Release decision	Steward review	Stewards	Review
Edition	Profiles and series	Foundry	Publish
Tiles	Tiles and bulk files	Foundry	Publish
DOI	Tiles and bulk files	Foundry	Publish

DoneIn progressWaiting for approvalQueuedApproval gateMatrix jobYou are here

From the evidence cut to published profiles, tiles and API: every stage keeps provenance and two review gates stand before release. The canvas shows where a request stands at the marked job; it is an illustration, not the status of a real request. Durations are proposed target service levels. Select a job for its steps, the people who act, the technology it runs on and what it produces.

04Integrity

Integrity rules

Declared interests

Conflict-of-interest declarations for every reviewer and contributor of values.

No outside edits

No party, funder or provider can change a value outside the published method and correction process.

Right of reply

Country right of reply and a public correction log.

Do no harm

Sensitive outputs (conflict, famine, biosecurity) pass a do-no-harm screen; publication can be delayed or generalised where detail could cause harm.

Replication

Methods, seeds and digests published for replication.

05Boundaries

Information, not authority

NXS-GRX makes risk visible without making it officially rated; makes disaster risk reduction actionable for learning without issuing commands; makes disaster risk finance questions readable without creating finance or insurance execution; makes intelligence useful without creating public warnings; and makes frontier technology risks structured without certifying anything.

06AI

AI use

AI assists drafting, coding and quality checks; every published value is computed by declared kernels from governed inputs, and AI-assisted text is reviewed and disclosed. No value is generated by a language model.

Stewarded in the open