A-P06 · EVIDENCE · methodsGRA dossier · service level R0
GRAFinancial Cyber and Operational ResilienceIn development
Methods and uncertainty

Analysis and uncertainty

The methods Financial Cyber and Operational Resilience relies on, the assumptions they carry and the limits of what they can show.

Publisher
The Global Risks Alliance
Field
Cyber and digital resilience, Financial stability, Critical infrastructure
  1. 01Draftsources cited, labels attached
  2. 02Evidence checkevery value traced
  3. 03Independent reviewconflicts declared
  4. 04Editionpublished with its limits
  5. 05Correctiona new version, never a silent edit
01In brief

The short answer.

The Financial Cyber and Operational Resilience methods page sets out the methods the platform relies on, among them cybersecurity and cryptography, reliability and resilience engineering, and network science and contagion, with their assumptions, validation and limits. Each analysis lists its assumptions and data, reports ranges and confidence beside central estimates, is checked against observations or other models, and states what it cannot show.

02Canvas

Draft to published version.

Canvas · draft to published versionDesign, not a record
Analysis and uncertainty: from a source to a labelled evidence recordA source is registered with its licence and steward, checked for quality and coverage, labelled by evidence class, versioned and published with a passport; corrections create a new version. Design of the process, not a record of a run.

Fig.How a finding is reviewed before it is published. Design, not a record.

03Geography

Connected activity in the Low Countries.

For analysis and uncertainty, in GRA's spatial-finance reading, the map opens on night lights and population density with night lights tonight from NASA GIBS, framed on the Low Countries; 4 further NASA layers wait in the list.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 2

Connected activity, for this page

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.

For analysis and uncertainty, in GRA's spatial-finance reading, the map opens on night lights and population density with night lights tonight from NASA GIBS, framed on the Low Countries; 4 further NASA layers wait in the list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA/NOAA VIIRS · CIESIN/Columbia, NASA SEDAC HBASE · GDACSSources 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
  • 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
  • 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). CC BY 4.0
  • 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). 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.
  • Observed (EO): NASA/NOAA VIIRS (Suomi NPP). 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).
  • Context: CIESIN/Columbia, NASA SEDAC HBASE. Center for International Earth Science Information Network (CIESIN), Columbia University, and NASA Socioeconomic Data and Applications Center (SEDAC): Global Human Built-up And Settlement Extent (HBASE) 2010; Seto, Guneralp and Hutyra 2012, Global Grid of Probabilities of Urban Expansion to 2030; Global Urban Heat Island (UHI) Data Set, 2013.
  • Live: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Optional layers (4 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

  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • 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
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026

05Methods

Measuring cyber resilience at sector level.

MethodUseLimit
Incident data analysisFrequency, duration and cause of outagesUnder-reporting and inconsistent formats; FIRE aims to align them
Dependency mappingConcentration in providersFourth-party visibility
Cyber loss modellingInsured and economic loss scenariosShort history, changing threat
Resilience metricsRecovery time and data loss against toleranceSelf-reported
06Metrics

What a resilience metric should say.

A useful metric names the service, the tolerance and the evidence that it was met under test. Topic depth at resilience metrics.

07Uncertainty

How uncertainty is reported.

  1. 01

    State assumptions

    Each analysis lists its assumptions and the data it depends on.

  2. 02

    Quantify where possible

    Ranges and confidence are reported alongside central estimates.

  3. 03

    Validate and compare

    Models are checked against observations and, where possible, against other models.

  4. 04

    Publish limits

    What an analysis cannot show is stated beside what it can.

08Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
Uncertainty quantificationCharacterising and propagating the uncertainties in a model to state confidence in its outputs.
Sensitivity analysisRepeating an analysis under different assumptions to show how much the result depends on them.
Model validationIndependent testing that a model performs as intended and is fit for a stated use.
Cybersecurity and cryptographyCybersecurity and cryptography protect information systems and data from unauthorised access, disruption and manipulation.
09Sources

Where this page's references lead.

The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.

10Questions

Questions and answers.

Are the methods open?
Method descriptions are public on the STEM Commons. Code and data follow their own licences and access terms, listed in the source register.
Financial Cyber and Operational Resilience

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