Skip to content

Der 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.

Seite GRX-MTHAusgabe Basisausgabe 2026Evidenzschluss 2026-09-30Werte noch nicht veröffentlichtMethode 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 Fähigkeiten Kernel-bound Planes Normen
Universelle Mathematik und Statistik 38 26 Julia, TypeScript
Gefahrenwissenschaft 37 7 Julia, Python
Expositions- und Anlagen-Intelligence 18 4 TypeScript, Python, SQL
Verwundbarkeit, Fragilität und Resilienz 19 8 Julia, Python
Folgen und Schäden 18 6 Julia, Python, r
Katastrophenrisiko (Versicherung) 23 13 Julia, Python, r
Netzwerke, Abhängigkeit und systemisches Risiko 21 10 Julia, Python
Finanzrisiko 57 13 Julia, Python, r
Versicherung und Rückversicherung 38 14 r, Julia
Märkte, Handel und Lieferketten 30 7 Julia, Python
Sovereign, macroeconomic and development risk 28 5 Julia, Python, r
Politik, Regulierung und Governance 17 1 Python, Julia
Wasserrisiko 26 7 Julia, Python
Ernährung, Landwirtschaft und Fischerei 25 2 Python, Julia
Energierisiko 26 7 Julia, Python
Gesundheit und Epidemiologie 25 9 Julia, Python, r
Klima, Natur und Biodiversität 24 3 Python, Julia
Critical infrastructure and industrial risk 27 6 Julia, Python
Cyber, KI und Frontier-Technologien 56 6 Python, rust, Julia
Geopolitik, Konflikt und menschliche Sicherheit 21 5 Python, Julia
Projekte, Programme und Infrastrukturinvestitionen 27 2 Julia, Python
Risikodaten 24 0 TypeScript, Python, rust, SQL
Wissenschaftliche Qualitätssicherung 45 16 Julia, Python, r, rust
02Status

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.

Evidenz
sealed RiskDataCut for data-grounded execution; source release and exact-record lineage; rights/purpose decision; chronotope; model/method version; uncertainty and applicability evidence
Unsicherheit
aleatory where applicable, epistemic, parameter, model-form, data, scenario
Verification and validation
verification, calibration or justification, validation or benchmark, applicability, reproducibility
Ergebnisse
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 und DATA_REQUIRED fail closed rather than fabricate outputs.
  • Cryptographic integrity proves the network's own records relationships, not scientific truth.

Formular

Comment on the methodology

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

  1. 01AusfüllenMit (erforderlich) markierte Felder sind Pflicht; alles andere hilft bei der Prüfung.
  2. 02ReferenzSie erhalten eine Referenz auf dem Bildschirm; der Eintrag wird in der WordPress-Datenbank dieser Website gespeichert.
  3. 03PrüfungDas Ergebnis wird öffentlich festgehalten. Kontaktdaten bleiben auf dieser Website und werden nie veröffentlicht oder weitergegeben.
Form · grx-consult

Dieses Formular öffnet sich hier, sobald es freigeschaltet ist. Bis dahin senden Sie es bitte über das Nexus Reports Gateway.

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.