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GCRISystems Science and ModellingIn development
Research and evidence

Research and evidence

The research behind Systems Science and Modelling: the questions it asks, the methods it uses and how evidence is reviewed before it is published.

Open Methods and uncertainty Back to Systems Science and Modelling
Publisher
The Global Centre for Risk and Innovation
Field
Methods and modelling, Risk management and systemic risk, Research and evidence
  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.

Systems Science and Modelling research is the evidence work behind the platform: questions such as model intercomparison and uncertainty and validation, answered with systems engineering as well as probability and statistics and reviewed before publication. Every result carries an evidence label, from observed to modelled or expert judgement, and missing data is shown as missing, never filled silently.

02Canvas

Draft to published version.

Canvas · draft to published versionDesign, not a record
Research and evidence: institutional oversight of researchCapacity and oversight only: proposals go to an institutional committee, reviewed under national rules, approved with conditions, supported by training, audited, and incidents are reported to the national body. 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

Hazards and exposure in North America.

For research and evidence, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery and land cover with relief in 3D and true colour from NASA GIBS, framed on North America; every other NASA layer, live feed and forecast waits in the layer list.

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

Layers 2

Hazards and exposure, 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 research and evidence, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery and land cover with relief in 3D and true colour from NASA GIBS, framed on North America; every other NASA layer, live feed and forecast waits in the layer 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 · Copernicus Sentinel-2 L2A · NASA HLS S30Sources 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 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
  • 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
  • GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); 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): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer
  • Observed (EO): NASA HLS S30 (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).
  • Optional layers (35 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

  • 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
  • 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
  • Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026

04Questions

What the research asks.

  1. 01

    Model intercomparison

    Comparing models of the same system, and what disagreement tells you.

  2. 02

    Uncertainty and validation

    Quantifying uncertainty, validation against observations and the limits of calibration.

  3. 03

    Coupled systems modelling

    Linking water, energy, food, health and infrastructure models without hiding assumptions.

  4. 04

    Networks and cascades

    Network science for dependency, contagion and cascading failure.

  5. 05

    Agent-based and complexity models

    Behaviour, adaptation and emergence in social-technical systems.

  6. 06

    Optimization under uncertainty

    Robust and adaptive decisions when futures are deeply uncertain.

05Open questions

What systems modelling research cannot yet answer well enough for decisions.

Systems modelling research asks how to couple models of different systems without hiding uncertainty or inventing precision.

06Evidence

Every result keeps its label.

Results are labelled as observed, officially reported, estimated, modelled, forecast, scenario or expert judgement. Missing data is shown as missing, never filled silently.

Methods

Methods and uncertainty

How results are produced and where they stop

Sources

Source and data register

Where data comes from and on what terms

Publications

Reviewed outputs

Citable work with its editorial status

07Key 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
Research integrityConduct of research in line with principles of reliability, honesty, respect and accountability, as the European Code of Conduct for Research Integrity sets them out.
Evidence labelA tag on an assertion naming the kind of evidence behind it, such as observed, officially reported or modelled.
ReproducibilityObtaining consistent results using the same data and analysis code as the original study.
Model credibilityThe degree of trust that a model is fit for a specific use, based on evidence.
08Sources

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.

09Pages

Pages in Research and evidence.

Page

Methods and uncertainty

Page

Source and data register

10Questions

Questions and answers.

Can I propose a research question?
Yes. Write to contact@therisk.global with the question, the context and who would use the answer. A proposal receives a reference; it does not commit the platform to the work.
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Around Systems Science and Modelling.

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