{"id":57,"date":"2026-10-17T11:25:22","date_gmt":"2026-10-17T11:25:22","guid":{"rendered":"https:\/\/therisk.global\/systems-modelling\/?page_id=57"},"modified":"2026-10-17T11:25:22","modified_gmt":"2026-10-17T11:25:22","slug":"interdependencies","status":"publish","type":"page","link":"https:\/\/therisk.global\/systems-modelling\/field\/interdependencies\/","title":{"rendered":"Dependencies and consequences"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/systems-modelling\/field\/interdependencies\/ \u00b7 source authored \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" 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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nwb184j7.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"fieldmap\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G-P19 \u00b7 NETWORK \u00b7 interdependencies<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Systems Science and Modelling<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Systems Science and Modelling \u00b7 Dependencies and consequences<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Dependencies and consequences<\/h1><p class=\"nx-tagline\">The interdependence of this field with others is unusual: systems science is not one system among many, but the method through which the links between all other systems are represented. Its strengths and weaknesses propagate into every field that uses it. This page sets out how the field depends on others, how others depend on it, and the consequences when modelling goes wrong, as part of the <a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/field\/\">field overview<\/a>.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/systems-modelling\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/systems-modelling\/field\/\">Back to Field overview<\/a><\/div><dl class=\"nx-facts\"><div><dt class=\"nx-eyebrow\">Publisher<\/dt><dd>The Global Centre for Risk and Innovation<\/dd><\/div><div><dt class=\"nx-eyebrow\">Field<\/dt><dd>Methods and modelling, Risk management and systemic risk, Research and evidence<\/dd><\/div><div><dt class=\"nx-eyebrow\">Status<\/dt><dd>In development<\/dd><\/div><div><dt class=\"nx-eyebrow\">Service level<\/dt><dd>R0: information and enquiries<\/dd><\/div><\/dl><\/div><div class=\"nx-hero-stage\" data-lv-fill=\"map\" data-lv-id=\"world\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"north-america:risk\" data-ml-src=\"risk\" data-ml-plan=\"p-9bbff939\" data-ml-relief=\"1.3\"><div class=\"nx-wm\" data-nx-water=\"ctx-risk\" data-wm-domain=\"ctx-risk\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"-170,7,-52,72\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"Hazards and exposure, North America: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"flood,ntl||||\" aria-pressed=\"false\">Floods and lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"true||||\" aria-pressed=\"false\">True colour<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"flood||||\" aria-pressed=\"false\">Floods this week<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">3<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Hazards and exposure, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"1\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"flood\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-short=\"Flood water\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite detection; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Flood water, 3-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS Global Flood Product \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"flood\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.7\" data-wm-short=\"Land cover\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite classification; latest year GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land cover type (IGBP), yearly<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Terra and Aqua land cover (MCD12Q1) \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"cover\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"imerg\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-short=\"Precipitation\" data-wm-prov=\"NASA GES DISC\" data-wm-kind=\"Satellite estimate, near real time\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Precipitation rate, daily mean<\/span><span class=\"nx-wm-layer-src\">NASA GES DISC GPM IMERG \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"imerg\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" 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stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"xt\" data-wm-xt=\"6oPh6EhWj+gDMzpLLT8H\/wVfxJakWdyAB8snze2Nado=\">More expert tools<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>For dependencies and consequences, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery, flood water and night lights with relief in 3D, framed on North America; every other NASA layer, live feed and forecast waits in the layer list.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 Copernicus Sentinel-2 L2A<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">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). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">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). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">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). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">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). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.modis-viirs.land\">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). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">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). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.gpm.imerg\">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). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">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). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 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). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\" target=\"_blank\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 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.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer<\/li><li>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.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><li>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/li><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/li><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>Precipitation rate, daily mean: GPM IMERG, NASA GES DISC \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G-P19\/field\/interdependencies\/#map\" data-nxf-title=\"Systems Science and Modelling live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-s-3-sec\"><span>02<\/span>One field, three institutions<\/a><a href=\"#nx-s-4-sec\"><span>03<\/span>Field overview, in outline<\/a><a href=\"#nx-sec-what-the-field-depends-on\"><span>04<\/span>Inputs that models cannot do without<\/a><a href=\"#nx-sec-what-depends-on-the-field\"><span>05<\/span>Where model quality travels<\/a><a href=\"#nx-sec-consequences-of-failure\"><span>06<\/span>What happens when modelling goes wrong<\/a><a href=\"#nx-sec-terms\"><span>07<\/span>Terms used on this page<\/a><a href=\"#nx-sec-feedback-with-society\"><span>08<\/span>Models change the systems they\u2026<\/a><\/div><\/nav> <div class=\"nx-signals\" role=\"group\" aria-label=\"Systems Science and Modelling in figures, from the registry\"><div class=\"nx-container\"><dl><div><dt class=\"nx-eyebrow\">STEM methods<\/dt><dd class=\"nx-metric\" data-count=\"true\">8<\/dd><dd class=\"nx-metric-note\">Canonical methods this field applies<\/dd><dd class=\"nx-sig-wrap\"><span class=\"nx-sig\" aria-hidden=\"true\"><\/span><\/dd><\/div><div><dt class=\"nx-eyebrow\">Topics<\/dt><dd class=\"nx-metric\" data-count=\"true\">8<\/dd><dd class=\"nx-metric-note\">Subject pages in the field<\/dd><dd class=\"nx-sig-wrap\"><span class=\"nx-sig\" aria-hidden=\"true\"><\/span><\/dd><\/div><div><dt class=\"nx-eyebrow\">Counterparts<\/dt><dd class=\"nx-metric\" data-count=\"true\">6<\/dd><dd class=\"nx-metric-note\">Platforms in shared fields at GCRI, GRF and GRA<\/dd><dd class=\"nx-sig-wrap\"><span class=\"nx-sig\" aria-hidden=\"true\"><\/span><\/dd><\/div><div><dt class=\"nx-eyebrow\">Report series<\/dt><dd class=\"nx-metric\" data-count=\"true\">2<\/dd><dd class=\"nx-metric-note\">Nexus Reports series it contributes to<\/dd><dd class=\"nx-sig-wrap\"><span class=\"nx-sig\" aria-hidden=\"true\"><\/span><\/dd><\/div><\/dl><\/div><\/div><section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"project\" data-variant=\"split\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Dependencies and consequences in Systems Science and Modelling describe how methods and modelling, risk management and systemic risk, and research and evidence connect to other systems through physical, economic, social and ecological links, and how stress travels along them toward fields such as those of Research Nexus and Policy Nexus. Every dependency map states its assumptions, data and uncertainty; it describes connections, not a forecast.<\/p><\/div><\/div><\/section><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">One field, three institutions.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Canvas<\/strong> \u00b7 one field, three institutions<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g-p19-consortium-t nx-dag-g-p19-consortium-d\" data-nx-z=\"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\"><title id=\"nx-dag-g-p19-consortium-t\">One field, three institutions: Systems Science and Modelling and its counterparts<\/title><desc id=\"nx-dag-g-p19-consortium-d\">GCRI 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.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig.<\/strong><span>How GCRI, GRF and GRA share one field while the authorities decide. Design, not a record.<\/span><\/p><\/div><\/div><\/div><\/section><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Console<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Field overview, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-systems-field\" data-cx=\"systems.field\" data-variant=\"section\" aria-label=\"Field overview: illustrative console with placeholder names and values\" data-nx-z=\"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\"><figcaption class=\"nx-fk-cap\"><span>Field overview: the screen's structure, terms and states for Systems science.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-what-the-field-depends-on\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" data-variant=\"inset\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">What the field depends on<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Inputs that models cannot do without.<\/h2><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Dependency<\/th><th scope=\"col\">Why it matters<\/th><th scope=\"col\">Where it is studied<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Dependency\">Domain science<\/td><td data-label=\"Why it matters\">Models are only as good as the understanding of processes they encode<\/td><td data-label=\"Where it is studied\">GCRI field platforms such as <a class=\"nx-link\" href=\"https:\/\/therisk.global\/water-nexus\/\">Water Nexus<\/a> and Climate and Hazards<\/td><\/tr><tr><td data-label=\"Dependency\">Observations<\/td><td data-label=\"Why it matters\">Calibration and validation require data<\/td><td data-label=\"Where it is studied\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/space-earth-observation\/\">Space and Earth Observation<\/a> and Data and Compute<\/td><\/tr><tr><td data-label=\"Dependency\">Computing<\/td><td data-label=\"Why it matters\">Large ensembles and coupled models need compute<\/td><td data-label=\"Where it is studied\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/technology\/computing\/\">Computing<\/a> in the STEM Commons<\/td><\/tr><tr><td data-label=\"Dependency\">Experiments<\/td><td data-label=\"Why it matters\">Testbeds provide controlled evidence<\/td><td data-label=\"Where it is studied\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-labs\/\">Nexus Labs<\/a><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"search\" data-nxf-kind=\"search\" data-nxf-resource=\"nexus:\/\/gcri\/G-P19\/field\/interdependencies\/#search\" data-nxf-title=\"Find a counterpart\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-sec-what-depends-on-the-field\" class=\"nx-section\" data-hue=\"project\" data-variant=\"stack\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">What depends on the field<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Where model quality travels.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"3\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Fields<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Every platform<\/h3><p class=\"nx-p nx-mt-1\">Each Nexus field uses statistics, networks, optimisation or simulation.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect width=\"8\" height=\"8\" x=\"3\" y=\"3\" rx=\"2\"\/><path d=\"M7 11v4a2 2 0 0 0 2 2h4\"\/><rect width=\"8\" height=\"8\" x=\"13\" y=\"13\" rx=\"2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Systems<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Foundry tools<\/h3><p class=\"nx-p nx-mt-1\">The Nexus Foundry <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-foundry\/systems\/dss\/\">DSS<\/a> system relies on validated models and stated uncertainty.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"8\" cy=\"8\" r=\"6\"\/><path d=\"M18.09 10.37A6 6 0 1 1 10.34 18\"\/><path d=\"M7 6h1v4\"\/><path d=\"m16.71 13.88.7.71-2.82 2.82\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Finance<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Risk models<\/h3><p class=\"nx-p nx-mt-1\">Financial risk models share methods, developed with GRA's <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/\" target=\"_blank\" rel=\"noopener\">Actuarial and Quantitative Risk<\/a>.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-consequences-of-failure\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Consequences of failure<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What happens when modelling goes wrong.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>False precision: results reported without uncertainty lead decision-makers to overconfidence.<\/li><li>Hidden assumptions: when models are coupled, assumptions in one can silently constrain another.<\/li><li>Common-mode error: when many institutions use similar models, they may share the same blind spots, a concern also studied by <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/financial-stability\/\" target=\"_blank\" rel=\"noopener\">Financial Stability<\/a>.<\/li><li>Irreproducibility: results that cannot be re-run cannot be checked or corrected. See <a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/reproducible-modelling\/\">reproducible modelling<\/a>.<\/li><li>Misplaced trust in twins: digital replicas taken as reality rather than representations. See <a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/digital-twins-method\/\">digital twins: method and limits<\/a>.<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"inset\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Interdependency<\/td><td data-label=\"Definition\">A two-way dependency between infrastructures, such as power needing telecoms for control while telecoms need power to run.<\/td><\/tr><tr><td data-label=\"Term\">Cascading risk<\/td><td data-label=\"Definition\">Risk that a failure in one system or component triggers failures in others that depend on it.<\/td><\/tr><tr><td data-label=\"Term\">Compound event<\/td><td data-label=\"Definition\">Two 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.<\/td><\/tr><tr><td data-label=\"Term\">Dependency mapping<\/td><td data-label=\"Definition\">Tracing the people, processes, technology, facilities and suppliers a service relies on.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-feedback-with-society\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Feedback with society<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Models change the systems they describe.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Models are not neutral observers. When a flood model informs zoning, it changes where people build; when a market model is widely used, it can change how markets behave. Social scientists call this reflexivity. It means that models of social-technical systems must be revisited as their use changes the system, a theme explored in <a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/agent-based-and-complexity\/\">agent-based and complexity models<\/a>.<\/p><p class=\"nx-p\">At The Global Risks Forum (GRF), the <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/policy\/\" target=\"_blank\" rel=\"noopener\">Policy Nexus<\/a> convenes dialogue on how model evidence enters policy decisions.<\/p><\/div><\/div><\/section><section id=\"nx-s-10-sec\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Why is this field described as a dependency of every other field?<\/summary><div class=\"nx-answer\">Because every field relies on its methods, so improvements and errors in modelling methods propagate across the Consortium.<\/div><\/details><details><summary>What is common-mode model error?<\/summary><div class=\"nx-answer\">Error that many users share because they use similar models or assumptions, so their mistakes are correlated rather than independent.<\/div><\/details><details><summary>How is model failure reported?<\/summary><div class=\"nx-answer\">Through the correction routes on the platform's <a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/trust\/\">trust page<\/a>, with dated corrections kept visible.<\/div><\/details><details><summary>How does the platform reduce common-mode error?<\/summary><div class=\"nx-answer\">By comparing independently built models, documenting shared components and assumptions, and reporting where models agree only because they share the same lineage.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-11\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-11\" class=\"nx-h3 nx-mt-2\">Around Systems Science and Modelling.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/systems-modelling\/\">Systems Science and Modelling home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/systems-modelling\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-12\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Systems Science and Modelling<\/span><h2 id=\"nx-close-12\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Systems%20Science%20and%20Modelling%3A%20Dependencies%20and%20consequences\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/systems-modelling\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/systems-modelling\/field\/interdependencies\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/systems-modelling\/field\/interdependencies\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Why is this field described as a dependency of every other field?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because every field relies on its methods, so improvements and errors in modelling methods propagate across the Consortium.\"}},{\"@type\":\"Question\",\"name\":\"What is common-mode model error?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Error that many users share because they use similar models or assumptions, so their mistakes are correlated rather than independent.\"}},{\"@type\":\"Question\",\"name\":\"How is model failure reported?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Through the correction routes on the platform's trust page , with dated corrections kept visible.\"}},{\"@type\":\"Question\",\"name\":\"How does the platform reduce common-mode error?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"By comparing independently built models, documenting shared components and assumptions, and reporting where models agree only because they share the same lineage.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/therisk.global\/systems-modelling\/field\/interdependencies\/#terms\",\"name\":\"Key terms: Dependencies and consequences\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/systems-modelling\/field\/interdependencies\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Interdependency\",\"description\":\"A two-way dependency between infrastructures, such as power needing telecoms for control while telecoms need power to run.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/systems-modelling\/field\/interdependencies\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Cascading risk\",\"description\":\"Risk that a failure in one system or component triggers failures in others that depend on it.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/systems-modelling\/field\/interdependencies\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Compound event\",\"description\":\"Two 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; 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