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Systemic Risk Management · Dependencies and consequences

Dependencies and consequences

Systemic risk is, by definition, about links. This page sets out the kinds of dependency that turn local failures into wide losses: causal and physical links between infrastructures, economic links through supply chains and finance, social links through institutions and trust, and ecological links through shared environments. It also explains how the platform analyses those links and what the analysis cannot do. It complements the field overview and the topic on cascades and interdependence.

Publisher
The Global Centre for Risk and Innovation
Field
Risk management and systemic risk, Methods and modelling
Status
In development
Service level
R0: information and enquiries

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Layers 2

Hazards and exposure, for this page

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NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

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For dependencies and consequences, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery and land cover, framed on Asia; 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 L2ASources 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
  • NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles 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
  • 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
  • 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
  • Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026

GeographyFor dependencies and consequences, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery and land cover, framed on Asia; every other NASA layer, live feed and forecast waits in the layer list.

STEM methods
6
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
5
Platforms in shared fields at GCRI, GRF and GRA
Report series
3
Nexus Reports series it contributes to
01In brief

The short answer.

Dependencies and consequences in Systemic Risk Management describe how risk management and systemic risk as well as methods and modelling connect to other systems through physical, economic, social and ecological links, and how stress travels along them toward fields such as those of Policy Nexus and Foresight Nexus. Every dependency map states its assumptions, data and uncertainty; it describes connections, not a forecast.

02Canvas

One field, three institutions.

Canvas · one field, three institutionsDesign, not a record
One field, three institutions: Systemic Risk Management and its counterpartsGCRI studies the field as science, GRF governs and convenes it, GRA builds shared financial understanding; the Nexus Universe tests work across them and the competent authorities decide. Design of the arrangement, not a record.

Fig.How GCRI, GRF and GRA share one field while the authorities decide. Design, not a record.

03Console

Field overview, in outline.

The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.

Field overview: the screen's structure, terms and states for Systemic risk.Placeholder names and illustrative values; a design, not a record or a live system.
04Kinds of dependency

Four ways systems tie together.

Physical

Shared flows

Power, water, fuel, data and transport link the state of one system to another, often in both directions.

Economic

Contracts and balance sheets

Supply contracts, credit, insurance and common investors carry losses between firms and sectors.

Social

Institutions and trust

Public confidence, staff availability and institutional capacity can fail together under stress.

Ecological

Shared environments

Watersheds, soils, climate and biodiversity underpin many systems at once and degrade slowly, then abruptly.

05How losses travel

Patterns behind cascading loss.

  1. 01

    Common cause

    One event hits many components at once: a storm, a software flaw shared by many systems, a pandemic.

  2. 02

    Propagation

    A failure in one node raises stress on its neighbours, as in power grids or interbank funding.

  3. 03

    Feedback

    Responses amplify the shock: fire sales lower prices, which forces more sales; panic buying empties shelves.

  4. 04

    Concentration

    Many depend on one supplier, platform or hub, so its failure has wide reach.

06Consequences

Who bears systemic loss.

Systemic losses rarely fall where risk decisions were made. A supplier failure may cost a manufacturer some margin while costing a town its main employer. They fall on workers who lose income, on households that lose services, on smaller firms with less buffer and on public budgets that absorb losses no one else can carry. Mapping consequences is therefore part of the analysis, not an afterthought, and it includes losses that are slow to appear, such as lost skills, lost trust and degraded ecosystems.

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
InterdependencyA two-way dependency between infrastructures, such as power needing telecoms for control while telecoms need power to run.
Cascading riskRisk that a failure in one system or component triggers failures in others that depend on it.
Compound eventTwo or more hazards or drivers occurring together or in sequence whose joint impact exceeds what either would cause alone, such as drought followed by intense rain; IPCC assessments use the term.
Dependency mappingTracing the people, processes, technology, facilities and suppliers a service relies on.
08Method

How dependencies are analysed, and the limits.

Analysis uses network science and contagion, uncertainty quantification and scenario design and stress testing. Every dependency analysis states its boundaries, data, assumptions and uncertainty. Dependency maps are always incomplete: hidden links, such as shared sub-suppliers or common software components, are often found only after a failure. The analysis is a structured way to look for them; it cannot promise to find them all.

09Questions

Questions and answers.

Is a dependency analysis a forecast?
No. It describes how systems are connected and how stress could travel. Scenarios are labelled as such and carry their assumptions.
Are named firms or sites mapped publicly?
No. Published analyses describe patterns and classes. Sensitive dependency data is used only under written terms and is not published.
Who acts on systemic dependencies?
Boards, regulators, public authorities and operators, under their own mandates. The Global Risks Forum (GRF) convenes policy dialogue on these questions through Policy Nexus.
Systemic Risk Management

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