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Il Global Risks Index

The Global Risks Index · Methods · model registry 1.0.0

Every risk method, standardised

670 methods across hazard science, exposure, vulnerability, loss, catastrophe, financial, sovereign, systemic, climate, health, cyber and assurance, each with a stable ID, an honest implementation state and the standards that govern it.

Pagina GRX-MTHEdizione Edizione di riferimento 2026Chiusura delle evidenze 2026-09-30Valori non ancora pubblicatiMetodo v1.0.0-draft
670
methods
23
fabrics
169
kernel-bound
48
connected or reference

01Fabrics

23 method fabrics

Every quantitative method the index and its platform may use is registered once, in one fabric, with a stable capability ID; a title is display text only.

Fabric Capacità Kernel-bound Planes Standard
Matematica e statistica universali 38 26 Julia, TypeScript
Scienza dei pericoli 37 7 Julia, Python
Intelligence su esposizione e asset 18 4 TypeScript, Python, SQL
Vulnerabilità, fragilità e resilienza 19 8 Julia, Python
Conseguenze e perdite 18 6 Julia, Python, r
Rischio catastrofale 23 13 Julia, Python, r
Reti, dipendenza e rischio sistemico 21 10 Julia, Python
Rischio finanziario 57 13 Julia, Python, r
Assicurazione e riassicurazione 38 14 r, Julia
Mercati, commercio e catene di approvvigionamento 30 7 Julia, Python
Sovereign, macroeconomic and development risk 28 5 Julia, Python, r
Politiche, regolamentazione e governance 17 1 Python, Julia
Rischio idrico 26 7 Julia, Python
Alimentazione, agricoltura e pesca 25 2 Python, Julia
Rischio energetico 26 7 Julia, Python
Salute ed epidemiologia 25 9 Julia, Python, r
Clima, natura e biodiversità 24 3 Python, Julia
Critical infrastructure and industrial risk 27 6 Julia, Python
Cyber, IA e tecnologie di frontiera 56 6 Python, rust, Julia
Geopolitica, conflitto e sicurezza umana 21 5 Python, Julia
Progetti, programmi e investimenti infrastrutturali 27 2 Julia, Python
Dati di rischio 24 0 TypeScript, Python, rust, SQL
Garanzia scientifica 45 16 Julia, Python, r, rust
02Stato

What is implemented

169 capabilities are bound to hand-written scientific kernels with golden-value tests in Python, Julia or R. Every capability is release-held, with a supported claim level of integrated.

model registry 1.0.0 · 670 capabilities
Connected9
Reference implementation39
Adapter required327
Specialist model required159
Data required136
Kernel bindings by plane
Python161
Julia4
r4
Connected
An existing governed engine path is available; specialist physics still needs validation for the context of use.
Reference implementation
Transparent reference mathematics for diagnostics and parity, not institutional-grade calibration.
Adapter required
Registered; an execution adapter is still to be built. Requests fail closed.
Specialist model required
Needs a specialist domain model. Requests fail closed rather than fabricate an output.
Data required
Needs governed data that is not yet available. Requests fail closed.
03Contract

What every method must carry

The same contract applies to an NXS-GRX (canonical data, provenance and risk) index, a custom index in Index Studio and a model run in Model Lab.

Evidenze
sealed RiskDataCut for data-grounded execution; source release and exact-record lineage; rights/purpose decision; chronotope; model/method version; uncertainty and applicability evidence
Incertezza
aleatory where applicable, epistemic, parameter, model-form, data, scenario
Verification and validation
verification, calibration or justification, validation or benchmark, applicability, reproducibility
Prodotti
uncertainty-packet, evidence-envelope, vvuq-receipt
Refusals
NO_DATA_IS_NOT_ZERO NO_UNGROUNDED_MONETARY_TRUTH NO_FAKE_SPATIAL_MATERIALIZATION NO_CAUSAL_CLAIM_WITHOUT_IDENTIFICATION NO_CALIBRATION_CLAIM_WITHOUT_EVIDENCE NO_AUTHORITY_ESCALATION
04Honesty

What registration does not mean

  • Capability registration is not model execution, calibration, observation, validation or assurance.
  • CONNECTED means an existing governed engine path is available; specialist domain physics still requires context-of-use validation.
  • IMPLEMENTED_REFERENCE means transparent reference mathematics exists for diagnostics/parity, not institutional-grade calibration.
  • SPECIALIST_MODEL_REQUIRED e DATA_REQUIRED fail closed rather than fabricate outputs.
  • Cryptographic integrity proves the network's own records relationships, not scientific truth.

Modulo

Comment on the methodology

Open consultation on normalisation, weighting, aggregation, imputation, uncertainty and validation; every comment receives a disposition in the consultation record.

  1. 01CompilaI campi contrassegnati (obbligatorio) sono necessari; tutto il resto aiuta la valutazione.
  2. 02RiferimentoRicevi un riferimento sullo schermo; la registrazione è conservata nel database WordPress di questo sito.
  3. 03ValutazioneL'esito è registrato pubblicamente. I recapiti restano su questo sito e non vengono mai pubblicati né condivisi.
Form · grx-consult

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Propose a method

New methods are registered with a stable ID, a hand-derived golden test and their evidence obligations before any page uses them.