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auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n18xz9d3.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n18xz9d3.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n18xz9d3.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n18xz9d3.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n18xz9d3.nxe :where(ul,ol){padding-left:20px}#nxe-n18xz9d3.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n18xz9d3.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n18xz9d3.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n18xz9d3.nxe svg{display:none}#nxe-n18xz9d3.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n18xz9d3.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n18xz9d3.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=\"dossier\" 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>R04 \u00b7 TOPIC \u00b7 foresight-in-decisions<\/strong>GRF 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\">GRF<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Foresight Nexus<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Established<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Foresight Nexus<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Foresight in decisions<\/h1><p class=\"nx-tagline\">Foresight changes outcomes only when it reaches a decision: a strategy, a budget, a regulation, a risk register or a law. Many governments now hold foresight units, but connecting them to the people who decide remains the hard part. This page sets out how scenario-informed policy works in practice, why foresight is not prediction, how institutions embed it and where they fail to, and which offices, ministries, regulators and parliaments hold the decisions it serves.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskforum.com\/foresight\/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:\/\/globalriskforum.com\/foresight\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Dossier<\/strong><\/span><span class=\"nx-eyebrow\">R04 \u00b7 topic<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">Definition and scope<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">4 mechanisms<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">H3 field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">7<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Pipeline<\/span><span class=\"nx-register-v\">Run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">7<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">08<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">09<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GRF \u00b7 Established \u00b7 service level R0<\/p><\/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-sec-field\"><span>02<\/span>Hazards and exposure in the Arctic<\/a><a href=\"#nx-s-4-sec\"><span>03<\/span>Policy wind tunnel, in outline<\/a><a href=\"#nx-sec-question\"><span>04<\/span>Foresight in decisions: how the risk\u2026<\/a><a href=\"#nx-sec-terms\"><span>05<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>06<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>07<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>08<\/span>Where the evidence comes from<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"systemic\" 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\">Foresight in government is the use of horizon scanning, scenarios and futures analysis inside the instruments that decide: strategies, budgets, regulations, risk registers and laws. Many governments hold foresight units; linking them to the people who decide, and not confusing foresight with prediction, remains the hard part.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" 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\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Hazards and exposure in the Arctic.<\/h2><p class=\"nx-lede\">For foresight in decisions, in GRF's situational-awareness reading, the map opens on population density and flood water with clouds now from NASA GIBS, framed on the Arctic; every other NASA layer, live feed and forecast waits in the layer list.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"arctic:risk\" data-ml-points=\"on\" data-ml-src=\"risk\" data-ml-plan=\"p-9cfc9234\"><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=\"-180,58,180,90\" 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, the Arctic: 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,people||||\" aria-pressed=\"false\">People and floods<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/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\">2<\/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=\"people\" aria-pressed=\"true\" data-wm-z=\"20\" 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=\"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=\"false\" 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=\"fires\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-op=\"1\" data-wm-breaks=\"10,50,200\" data-wm-short=\"Fires and flares\" data-wm-prov=\"NASA LANCE FIRMS\" data-wm-kind=\"Satellite detection; clouds and overpass timing leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Active fires and thermal anomalies, last day<\/span><span class=\"nx-wm-layer-src\">NASA LANCE FIRMS VIIRS NOAA-20 375 m (FIRMS) \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"fires\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"false\" data-wm-z=\"24\" 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=\"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\" 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aria-label=\"Zoom out\" title=\"Zoom out\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"reset\" aria-label=\"Reset the view\" title=\"Reset the view\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.2 8a4.8 4.8 0 1 0 1.5-3.5M3.2 2.6v2.6h2.6\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" 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 foresight in decisions, in GRF's situational-awareness reading, the map opens on population density and flood water with clouds now from NASA GIBS, framed on the Arctic; 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 NASA EONET \u00b7 GDACS \u00b7 NOAA GOES-East ABI GeoColor<\/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=\"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.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.lance.firms\">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). <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.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>Live: NASA EONET Events are indicative, not official warnings.<\/li><li>Live: GDACS (EC JRC \/ UN OCHA) Events are indicative, not official warnings.<\/li><li>Live: NOAA GOES-East ABI GeoColor (CIRA). 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).<\/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>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>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>Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/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:\/\/grf\/R04\/topics\/foresight-in-decisions\/#map\" data-nxf-title=\"Foresight Nexus live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"systemic\" 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\">Policy wind tunnel, 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-foresight-windtunnel\" data-cx=\"foresight.windtunnel\" data-variant=\"section\" aria-label=\"Policy wind tunnel: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Policy wind tunnel<\/h3><p class=\"nx-fk-sub\">Foresight in decisions \u00b7 Scenario set B \u00b7 Policy: POL-44<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Fails in one scenario<\/span><span class=\"nx-cx-prod\">GRF \u00b7 Foresight Nexus<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"matrix\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Policy performance by scenario<\/h4><p class=\"nx-fk-panel-sub\">0 fails to 100 robust<\/p><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 520 110\" width=\"520\" height=\"110\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Policy performance by scenario\" data-fk-chart=\"cx-foresight-windtunnel-heat\" data-nx-z=\"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\"><\/svg><\/div><p class=\"nx-fk-note\">Higher is more robust. Placeholder scores.<\/p><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"queue\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Signposts to monitor<\/h4><\/div><\/div><ol class=\"nx-cx-q\"><li><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>S-1<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Trade restrictions on inputs<\/span><span class=\"nx-cx-qm\">triggers adaptation 2<\/span><\/span><span class=\"nx-cx-age\">quarterly<\/span><\/li><li><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>S-2<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Cost of sensors<\/span><span class=\"nx-cx-qm\">triggers scale-up<\/span><\/span><span class=\"nx-cx-age\">annual<\/span><\/li><\/ol><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Policy wind tunnel: the screen's structure, terms and states for Foresight in decisions.<\/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-question\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" data-variant=\"split\" 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\">The question<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Foresight in decisions: how the risk develops.<\/h2><p class=\"nx-lede\">Scenario-informed policy, not predictions. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><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\"><line x1=\"3\" x2=\"21\" y1=\"22\" y2=\"22\"\/><line x1=\"6\" x2=\"6\" y1=\"18\" y2=\"11\"\/><line x1=\"10\" x2=\"10\" y1=\"18\" y2=\"11\"\/><line x1=\"14\" x2=\"14\" y1=\"18\" y2=\"11\"\/><line x1=\"18\" x2=\"18\" y1=\"18\" y2=\"11\"\/><polygon points=\"12 2 20 7 4 7\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Location and mandate<\/h3><p class=\"nx-p nx-mt-1\">Foresight placed at the centre of government, with a senior sponsor and a link to cabinet, budget or risk processes, reaches decisions. Foresight placed in a peripheral unit tends to produce reports that are read and not used.<\/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\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">From insight to instrument<\/h3><p class=\"nx-p nx-mt-1\">Insight becomes action through instruments: a policy stress test in impact assessment, a scenario in a spending review, an emerging risk in the national register, a trigger in an adaptive plan. Each needs an owner and a procedure.<\/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\"><path d=\"M21 12a9 9 0 0 0-9-9 9.75 9.75 0 0 0-6.74 2.74L3 8\"\/><path d=\"M3 3v5h5\"\/><path d=\"M3 12a9 9 0 0 0 9 9 9.75 9.75 0 0 0 6.74-2.74L21 16\"\/><path d=\"M16 16h5v5\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Prediction confusion<\/h3><p class=\"nx-p nx-mt-1\">Decision-makers often ask foresight for the likely future. When scenarios are treated as forecasts, or a single scenario is adopted as the plan, the purpose is lost and confidence is overstated.<\/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\"><path d=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\/><circle cx=\"9\" cy=\"7\" r=\"4\"\/><path d=\"M22 21v-2a4 4 0 0 0-3-3.87\"\/><path d=\"M16 3.13a4 4 0 0 1 0 7.75\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Capability and culture<\/h3><p class=\"nx-p nx-mt-1\">Foresight depends on leaders who tolerate challenge to current policy, civil servants trained in methods, and participation that brings in perspectives from outside government. Without these, process exists without effect.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" data-variant=\"split\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-6\" 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\"><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\">Foresight unit<\/td><td data-label=\"Definition\">A team in government that produces and applies futures analysis for policy.<\/td><\/tr><tr><td data-label=\"Term\">National risk register<\/td><td data-label=\"Definition\">A government's published assessment of the main risks facing the country.<\/td><\/tr><tr><td data-label=\"Term\">Futures literacy<\/td><td data-label=\"Definition\">The capability to use the future in different ways in the present, as UNESCO describes it.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" 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\">Indicators<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Foresight units at the centre of government<\/td><td data-label=\"Unit\">count of units<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Government surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Cabinet or ministerial foresight sessions held<\/td><td data-label=\"Unit\">count per year<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Cabinet and ministry records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Impact assessments including a scenario stress test<\/td><td data-label=\"Unit\">share of assessments<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Impact assessment registers<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Parliamentary foresight hearings and reports<\/td><td data-label=\"Unit\">count per session<\/td><td data-label=\"Cadence\">per session<\/td><td data-label=\"Source type\">Parliamentary records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Interval between national risk assessment editions<\/td><td data-label=\"Unit\">months<\/td><td data-label=\"Cadence\">per edition<\/td><td data-label=\"Source type\">National risk assessment publications<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Civil servants trained in foresight methods<\/td><td data-label=\"Unit\">persons per year<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Training records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">After-action reviews citing prior foresight<\/td><td data-label=\"Unit\">count of reviews<\/td><td data-label=\"Cadence\">per review<\/td><td data-label=\"Source type\">Inquiry and after-action reports<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/grf\/R04\/topics\/foresight-in-decisions\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" 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\">Canvas<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Foresight in decisions as a run graph<\/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-r04-topics-foresight-in-decisions-foresig-t nx-dag-r04-topics-foresight-in-decisions-foresig-d\" data-nx-z=\"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\"><title id=\"nx-dag-r04-topics-foresight-in-decisions-foresig-t\">Foresight in decisions: from horizon scanning to wind-tunnelled policy<\/title><desc id=\"nx-dag-r04-topics-foresight-in-decisions-foresig-d\">Signals from horizon scanning are clustered into drivers; the most uncertain and impactful define scenario axes; narratives are written; policies are wind-tunnelled against each scenario and signposts monitored. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" data-variant=\"split\" 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\">Sources<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">OECD Strategic Foresight Unit and Observatory of Public Sector Innovation<\/td><td data-label=\"What it gives\">Guidance and case studies on anticipatory innovation governance and foresight at the centre of government<\/td><td data-label=\"Licence class\">OECD terms, open access with attribution<\/td><\/tr><tr><td data-label=\"Source\">European Commission Strategic Foresight Reports<\/td><td data-label=\"What it gives\">Annual reports linking foresight to Commission priorities and policy<\/td><td data-label=\"Licence class\">EU reuse policy, CC BY 4.0<\/td><\/tr><tr><td data-label=\"Source\">UK National Risk Register<\/td><td data-label=\"What it gives\">Published national risk assessment scenarios and planning assumptions<\/td><td data-label=\"Licence class\">Open Government Licence<\/td><\/tr><tr><td data-label=\"Source\">Government Report on the Future (Finland)<\/td><td data-label=\"What it gives\">Government foresight report each electoral term, with a parliamentary response<\/td><td data-label=\"Licence class\">Public government records<\/td><\/tr><tr><td data-label=\"Source\">Centre for Strategic Futures (Singapore) publications<\/td><td data-label=\"What it gives\">Foresight reports and method notes from a centre-of-government unit<\/td><td data-label=\"Licence class\">Singapore government terms of use<\/td><\/tr><tr><td data-label=\"Source\">US Government Accountability Office foresight work<\/td><td data-label=\"What it gives\">Trend and foresight reports supporting Congressional oversight<\/td><td data-label=\"Licence class\">Public domain, US government work<\/td><\/tr><tr><td data-label=\"Source\">UK Covid Inquiry reports on resilience and preparedness<\/td><td data-label=\"What it gives\">Records of how pandemic planning and prior exercises were used<\/td><td data-label=\"Licence class\">Open Government Licence<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/grf\/R04\/topics\/foresight-in-decisions\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" 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\">Decisions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Foresight Nexus prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Cabinet offices and heads of the civil service<\/td><td data-label=\"The question\">Where foresight sits, who sponsors it and which decision processes must use it<\/td><td data-label=\"Evidence this page serves\">Comparative evidence on foresight locations, mandates and the conditions under which they influenced decisions<\/td><\/tr><tr><td data-label=\"Who decides\">Finance ministries and budget offices<\/td><td data-label=\"The question\">Whether spending reviews and long-term investments are tested against scenarios<\/td><td data-label=\"Evidence this page serves\">Stress-test practice, scenario sets and the decisions they changed elsewhere<\/td><\/tr><tr><td data-label=\"Who decides\">Regulators and central banks<\/td><td data-label=\"The question\">How to use scenarios in supervisory and regulatory planning without treating them as forecasts<\/td><td data-label=\"Evidence this page serves\">Scenario design standards, severity reasoning and the distinction between a scenario and a projection<\/td><\/tr><tr><td data-label=\"Who decides\">Parliaments and supreme audit institutions<\/td><td data-label=\"The question\">How to hold governments to account for anticipation and preparedness<\/td><td data-label=\"Evidence this page serves\">Records of foresight produced, its owners, and after-action reviews of its use<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Scenario learning protocols for cabinet, ministry and parliamentary use<\/li><li>Comparative reviews of how governments embed foresight in decisions<\/li><li>Policy stress-test templates for impact assessment<\/li><li>Retrospective reviews of foresight and its use after major events<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">What practitioners ask.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>How can foresight be built into budgets, strategies and regulatory processes?<\/li><li>How should decision-makers use scenarios without treating them as forecasts?<\/li><li>What evidence shows when foresight has improved decisions?<\/li><li>How can foresight teams keep their independence while staying close to decisions?<\/li><li>How should the limits of foresight be communicated?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"split\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Drivers and dynamics.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Foresight influences decisions through several channels: by changing how decision-makers think, by testing specific strategies against scenarios, by identifying early warning indicators and by building networks that share signals. Its influence is greatest when a decision-maker commissions it with a clear question, when its producers and users work together, and when it has a formal place in planning or budget processes.<\/p><p class=\"nx-p\">Misuse takes predictable forms. Scenarios are cited selectively to support a predetermined choice, a single scenario is treated as a forecast, or foresight is commissioned to show activity rather than inform choice. Clear labelling of evidence types, open methods and records of how scenarios were used help prevent this.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-limits\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and limits<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">How it is approached.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Strategy testing<\/h3><p class=\"nx-p nx-mt-1\">Assessing whether a strategy performs acceptably across scenarios, using <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/foresight\/stem\/scenario-stress\/\">scenario design and stress testing<\/a> and decision analysis under uncertainty.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Indicator design<\/h3><p class=\"nx-p nx-mt-1\">Defining signposts that tell decision-makers when conditions are changing.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Exercises<\/h3><p class=\"nx-p nx-mt-1\">Simulations and tabletop exercises let institutions rehearse responses to scenarios together.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Limits<\/h3><p class=\"nx-p nx-mt-1\">Evaluating foresight is difficult, because its value often lies in decisions not taken or crises averted; influence depends on political will.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"systemic\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/foresight\/stem\/scenario-stress\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Scenario design and stress testing<\/span><span class=\"nx-mledger-role\">Exploratory scenario development \u00b7 Policy wind-tunnelling<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><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><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/scenario-stress\/\" aria-label=\"Scenario design and stress testing: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/foresight\/stem\/decision-analysis\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Decision analysis under uncertainty<\/span><span class=\"nx-mledger-role\">Robust decision making \u00b7 Dynamic adaptive policy pathways \u00b7 Structured expert elicitation<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><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><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/decision-analysis\/\" aria-label=\"Decision analysis under uncertainty: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/foresight\/stem\/forecasting\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Forecasting and time-series analysis<\/span><span class=\"nx-mledger-role\">Aggregated judgemental forecasting \u00b7 Probabilistic population projections<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><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><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/forecasting\/\" aria-label=\"Forecasting and time-series analysis: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/foresight\/stem\/complex-systems\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Complex systems and agent-based modelling<\/span><span class=\"nx-mledger-role\">Systems mapping of drivers \u00b7 Agent-based exploration of social change<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><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><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/complex-systems\/\" aria-label=\"Complex systems and agent-based modelling: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Evidence on whether foresight improves decisions is thin and mostly case-based, because good anticipation often shows up as problems avoided. The existence of a foresight unit says little about its influence, and instruments can become box-ticking. Foresight does not remove uncertainty or tell decision-makers what will happen. Foresight Nexus documents practice and methods; it does not advise governments, and decisions belong to those who hold the mandate.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" aria-labelledby=\"nx-s-15\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-15\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>If foresight is not prediction, what is it for?<\/summary><div class=\"nx-answer\">It prepares institutions for a range of futures: widening what is considered, testing strategies, identifying early signs of change and building options in advance. It is judged by better-prepared decisions, not by correct guesses.<\/div><\/details><details><summary>How do governments embed foresight?<\/summary><div class=\"nx-answer\">Through a unit with a mandate near the centre of government, regular reporting to cabinet or parliament, and procedures that require its use: scenario tests in impact assessment, emerging risks in national risk assessment, and long-term reports that receive a formal response.<\/div><\/details><details><summary>Why did warnings and exercises not prevent past crises?<\/summary><div class=\"nx-answer\">Inquiries often find that risks were identified and exercised but that findings lacked an owner, funding or follow-through. Foresight without a route to decision, and accountability for acting on it, has limited effect.<\/div><\/details><details><summary>Does Foresight Nexus advise governments?<\/summary><div class=\"nx-answer\">No. It sets out methods, sources and institutional practice. Advice and decisions belong to governments, regulators and parliaments under their own mandates.<\/div><\/details><details><summary>Does foresight tell decision-makers what to do?<\/summary><div class=\"nx-answer\">No. It helps them understand how options perform across futures. The choice remains theirs.<\/div><\/details><details><summary>How do I know if foresight made a difference?<\/summary><div class=\"nx-answer\">By recording how scenarios were used and what decisions changed. Evaluation is hard but possible.<\/div><\/details><details><summary>What are scenario learning protocols?<\/summary><div class=\"nx-answer\">Methods for recording how scenarios were used in a dialogue or exercise and what was learned, so that lessons carry forward.<\/div><\/details><details><summary>Who reviews coverage of this topic?<\/summary><div class=\"nx-answer\">Published analysis is designed to be reviewed by a named subject reviewer, to cite its references and to include independent specialist voices. Where specialists disagree, the disagreement is reported rather than resolved by omission.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-16\" class=\"nx-h3 nx-mt-2\">Around Foresight Nexus.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskforum.com\/foresight\/topics\/horizon-scanning\/\">Horizon scanning <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:\/\/globalriskforum.com\/foresight\/topics\/strategic-scenarios\/\">Strategic scenarios <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:\/\/globalriskforum.com\/foresight\/topics\/deep-uncertainty\/\">Deep uncertainty <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:\/\/globalriskforum.com\/foresight\/topics\/technology-futures\/\">Technology futures <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:\/\/globalriskforum.com\/foresight\/topics\/geopolitical-futures\/\">Geopolitical futures <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:\/\/globalriskforum.com\/foresight\/topics\/demographic-and-social-futures\/\">Demographic and social futures <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:\/\/globalriskforum.com\/foresight\/\">Foresight Nexus 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:\/\/globalriskforum.com\/foresight\/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:\/\/globalriskforum.com\/\">The Global Risks Forum 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:\/\/globalriskforum.com\/trust\/\">GRF 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-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Foresight Nexus<\/span><h2 id=\"nx-close-17\" 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@globalriskforum.com?subject=Foresight%20Nexus%3A%20Foresight%20in%20decisions\">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:\/\/globalriskforum.com\/foresight\/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:\/\/globalriskforum.com\/foresight\/topics\/foresight-in-decisions\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskforum.com\/foresight\/topics\/foresight-in-decisions\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"If foresight is not prediction, what is it for?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"It prepares institutions for a range of futures: widening what is considered, testing strategies, identifying early signs of change and building options in advance. 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