{"id":13615,"date":"2026-10-13T08:22:57","date_gmt":"2026-10-13T12:22:57","guid":{"rendered":"https:\/\/therisk.global\/nexus-campaigns\/?page_id=13615"},"modified":"2026-10-13T15:55:25","modified_gmt":"2026-10-13T19:55:25","slug":"decision-analysis","status":"publish","type":"page","link":"https:\/\/therisk.global\/nexus-campaigns\/stem\/decision-analysis\/","title":{"rendered":"Decision analysis for risk communication"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/nexus-campaigns\/stem\/decision-analysis\/ \u00b7 source template \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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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-nqaerdp1.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-nqaerdp1.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-nqaerdp1.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-nqaerdp1.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-nqaerdp1.nxe :where(ul,ol){padding-left:20px}#nxe-nqaerdp1.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-nqaerdp1.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-nqaerdp1.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-nqaerdp1.nxe svg{display:none}#nxe-nqaerdp1.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-nqaerdp1.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nqaerdp1.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=\"workbench\" 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>G07 \u00b7 METHOD \u00b7 decision-analysis<\/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\">Nexus Campaigns<\/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>Method page \u00b7 Decision analysis under uncertainty<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Decision analysis for risk communication<\/h1><p class=\"nx-tagline\">Decision analysis under uncertainty structures the choices communicators and the authorities they serve must make: whether to speak before evidence settles, which audiences and channels to prioritise, and when to adapt or end a campaign. It makes trade-offs between reach, equity, cost and the risk of harm explicit and open to scrutiny.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/nexus-campaigns\/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\/nexus-campaigns\/stem\/\">Back to STEM foundation of Nexus Campaigns<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Method record<\/strong><\/span><span class=\"nx-eyebrow\">decision-analysis<\/span><\/div><ol class=\"nx-register-rows\"><li><div><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Decision analysis under uncertainty<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Steward<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/risk-management\/\">Systemic Risk Management<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Applied in<\/span><span class=\"nx-register-v\">Nexus Campaigns<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Data<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-data\">4 inputs<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Checks<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-checks\">4 validation steps<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Canonical page<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/decision-analysis\/\">STEM Commons<\/a><\/span><\/div><\/li><\/ol><p class=\"nx-register-foot\">GCRI \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-s-3-sec\"><span>02<\/span>Uncertainty analysis, in outline<\/a><a href=\"#nx-sec-application\"><span>03<\/span>What decision analysis under\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-field\"><span>05<\/span>Digital demand and connectivity in\u2026<\/a><a href=\"#nx-sec-canvas\"><span>06<\/span>The method as a run graph<\/a><a href=\"#nx-sec-data\"><span>07<\/span>What the method consumes<\/a><a href=\"#nx-sec-checks\"><span>08<\/span>How results are checked<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"social\" 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\">Decision analysis under uncertainty is a structured method for choosing among options when outcomes are uncertain, making objectives, probabilities and trade-offs explicit. For risk communication it frames whether to speak before evidence settles, which audiences and channels to prioritise, and when to adapt or end a campaign.<\/p><\/div><\/div><\/section><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"social\" 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\">Console<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Uncertainty analysis, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this method: 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-campaigns-method-uq\" data-cx=\"campaigns.method-uq\" data-variant=\"section\" aria-label=\"Uncertainty analysis: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Uncertainty analysis<\/h3><p class=\"nx-fk-sub\">Campaigns \u00b7 Decision analysis for risk\u2026 \u00b7 Run R-2791<\/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=\"info\"><i aria-hidden=\"true\"><\/i>Sensitivity ranked<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Nexus Campaigns<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Total-order sensitivity<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 520 210\" width=\"520\" height=\"210\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Total-order sensitivity\" data-fk-chart=\"cx-campaigns-method-uq-c0\" data-nx-z=\"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\"><\/svg><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Output distribution<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 210\" width=\"460\" height=\"210\" role=\"img\" aria-label=\"Output distribution\" focusable=\"false\" tabindex=\"0\" preserveAspectRatio=\"xMidYMid meet\" data-fk-chart=\"cx-campaigns-method-uq-c1\" data-fk-xs=\"lin,0,23,36,446\" data-fk-ys=\"lin,0,100,180,20\" data-fk-series=\"Median|acc|l||0:41.00807599918917;1:41.10540492227301;2:42.438700488209726;3:42.47656451752409;4:44.694063912797716;5:47.10032421592623;6:44.81921805534512;7:45.87610746584833;8:46.247422700095925;9:50.451332272216675;10:50.67734572440386;11:52.43779201526195;12:55.56677769208327;13:55.89870257331059;14:58.64031203202903;15:54.27141716526821;16:58.61306547233835;17:60.39514119587839;18:57.519996212143454;19:58.885735145490614;20:63.64269003001973;21:65.4428739962168;22:66.8583818109706;23:67.4979954010807~Sample spread, upper|s3|l||0:47.00807599918917;1:49.30540492227301;2:52.838700488209724;3:55.07656451752409;4:59.494063912797714;5:64.10032421592624;6:64.01921805534512;7:67.27610746584833;8:69.84742270009593;9:76.25133227221667;10:78.67734572440386;11:82.63779201526195;12:87.96677769208327;13:90.4987025733106;14:95.44031203202903;15:93.27141716526822;16:99;17:99;18:99;19:99;20:99;21:99;22:99;23:99~Sample spread, lower|s3|l||0:35.00807599918917;1:33.10540492227301;2:32.438700488209726;3:30.47656451752409;4:30.694063912797716;5:31.10032421592623;6:26.819218055345118;7:25.876107465848328;8:24.247422700095925;9:26.451332272216675;10:24.677345724403857;11:24.437792015261948;12:25.56677769208327;13:23.898702573310587;14:24.64031203202903;15:18.27141716526821;16:20.61306547233835;17:20.395141195878388;18:15.519996212143454;19:14.885735145490614;20:17.64269003001973;21:17.442873996216804;22:16.8583818109706;23:15.4979954010807\" data-nx-z=\"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\"><\/svg><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Inputs<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-campaigns-method-uq-t2\"><table class=\"nx-fk-table\" data-fk-table=\"cx-campaigns-method-uq-t2\" aria-label=\"Inputs\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Input<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Distribution<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Range<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Source<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-campaigns-method-uq:r2-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>People reached<\/td><td>Lognormal<\/td><td>people, stated<\/td><td>expert elicitation<\/td><\/tr><tr data-fk-key=\"cx-campaigns-method-uq:r2-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Knowledge gain<\/td><td>Normal<\/td><td>score change, stated<\/td><td>expert elicitation<\/td><\/tr><tr data-fk-key=\"cx-campaigns-method-uq:r2-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Consent records complete<\/td><td>Lognormal<\/td><td data-sv=\"0\"> of participants, stated<\/td><td>expert elicitation<\/td><\/tr><tr data-fk-key=\"cx-campaigns-method-uq:r2-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Preparedness actions taken<\/td><td>Beta<\/td><td data-sv=\"0\"> of households, stated<\/td><td>expert elicitation<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Uncertainty analysis: the screen's structure, terms and states for Campaigns.<\/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-application\" class=\"nx-section\" data-hue=\"social\" data-variant=\"split\" 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\">Application<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">What decision analysis under uncertainty does here.<\/h2><p class=\"nx-lede\">Decision analysis under uncertainty provides structured methods for choosing among options when outcomes are uncertain and objectives conflict. It makes trade-offs and value judgements explicit. In information and public trust and society and human development, decision analysis helps choose actions that perform acceptably across interconnected risks and uncertain futures. It clarifies when to act now and when to keep options open. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/decision-analysis\/\">the STEM Commons<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cols\"><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><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=\"M5 22h14\"\/><path d=\"M5 2h14\"\/><path d=\"M17 22v-4.172a2 2 0 0 0-.586-1.414L12 12l-4.414 4.414A2 2 0 0 0 7 17.828V22\"\/><path d=\"M7 2v4.172a2 2 0 0 0 .586 1.414L12 12l4.414-4.414A2 2 0 0 0 17 6.172V2\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Communicating before the evidence settles<\/h3><p class=\"nx-p nx-mt-1\">Early communication with stated uncertainty is weighed against waiting for better evidence, using value-of-information reasoning and the risks of silence, so the timing choice and its assumptions are on record.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><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><\/div><h3 class=\"nx-h3 nx-mt-2\">Choosing channels and audiences<\/h3><p class=\"nx-p nx-mt-1\">Options are scored against reach, accessibility, equity, cost and risk of harm, with weights elicited from stakeholders, and the ranking is tested for sensitivity to those weights.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><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=\"6\" cy=\"19\" r=\"3\"\/><path d=\"M9 19h8.5a3.5 3.5 0 0 0 0-7h-11a3.5 3.5 0 0 1 0-7H15\"\/><circle cx=\"18\" cy=\"5\" r=\"3\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Adapt, continue or end<\/h3><p class=\"nx-p nx-mt-1\">Decision points are set in advance with the evidence that would trigger adapting, continuing or ending a campaign, so later choices are not driven by sunk costs or favourable metrics alone.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"social\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-5\" 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\">Expert elicitation<\/td><td data-label=\"Definition\">A formal process for obtaining experts' judgements, including uncertainty, where data are lacking.<\/td><\/tr><tr><td data-label=\"Term\">Value of information<\/td><td data-label=\"Definition\">The expected improvement in a decision from obtaining more information before deciding.<\/td><\/tr><tr><td data-label=\"Term\">Multi-criteria analysis<\/td><td data-label=\"Definition\">Comparing options against several weighted objectives, such as reach, equity, cost and risk of harm.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"social\" 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\">Geography<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Digital demand and connectivity in North America.<\/h2><p class=\"nx-lede\">Urban demand centres and the hubs that anchor digital and data infrastructure, shown for North America as an example geography for this subject.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-map nx-cmap\" data-nx-map=\"ctx\" data-cmap=\"north-america:digital\" data-ramp=\"purple\" data-basis=\"case\" data-focus=\"0 0 2000 1250|772 0 1557 593|899 784 1355 1040|1361 1001 1426 1071|1332 993 1423 1048\"><figure class=\"nx-fk\" data-fk=\"map-north-america-digital\" data-ramp=\"purple\" 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\"><figcaption class=\"nx-fk-cap\"><span>Urban demand centres and the hubs that anchor digital and data infrastructure.<\/span><span data-honesty=\"true\">Indicator derived from Natural Earth at map scale; a screening view, not an assessment.<\/span><\/figcaption><\/figure><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G07\/stem\/decision-analysis\/#map\" data-nxf-title=\"Nexus Campaigns live map\" data-nxf-height=\"560\" hidden><\/div><div class=\"nx-map-hud\"><span class=\"nx-eyebrow\">GCRI \u00b7 Nexus Campaigns \u00b7 field<\/span><span class=\"nx-eyebrow nx-map-hud-right\">DESIGN FIGURE<\/span><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-canvas\" class=\"nx-section\" data-hue=\"social\" 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\">Canvas<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">The method as a run graph.<\/h2><p class=\"nx-lede\">Data from the source register feeds the methods; calibration and an independent test gate the estimate and its limits; the decision stays with the competent authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Method canvas<\/strong> \u00b7 Decision analysis under uncertainty as applied here<\/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-g07-stem-decision-analysis-ipcc-risk-t nx-dag-g07-stem-decision-analysis-ipcc-risk-d\" data-nx-z=\"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\"><title id=\"nx-dag-g07-stem-decision-analysis-ipcc-risk-t\">Decision analysis under uncertainty in Nexus Campaigns: risk as hazard, exposure and vulnerability<\/title><desc id=\"nx-dag-g07-stem-decision-analysis-ipcc-risk-d\">Risk arises from the interaction of hazard, exposure and vulnerability (sensitivity and adaptive capacity); responses act on each driver and leave a residual risk that is monitored. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 01<\/strong><span>Nodes carry their type, metrics and state; connectors show what feeds what; the gates are the validation steps; the timeline is one application. Design of the method's use, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-data\" class=\"nx-section\" data-hue=\"social\" 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\">Data<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">What the method consumes.<\/h2><p class=\"nx-lede\">Datasets and records used by decision analysis under uncertainty on this platform, with the role each plays and the label its values carry. Sources are listed in <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/research\/\">the source register<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Data<\/th><th scope=\"col\">Role<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Data\">Expert elicitation records<\/td><td data-label=\"Role\">Judgements where data are thin<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Stakeholder preference surveys<\/td><td data-label=\"Role\">Weights on criteria such as reach, equity and cost<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Pre-test and evaluation results<\/td><td data-label=\"Role\">Evidence on how options perform<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Budget and resource records<\/td><td data-label=\"Role\">What each option requires<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"data\" data-nxf-kind=\"data\" data-nxf-resource=\"nexus:\/\/gcri\/G07\/stem\/decision-analysis\/#data\" data-nxf-title=\"Method record\" data-nxf-height=\"520\" hidden><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G07\/stem\/decision-analysis\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-checks\" class=\"nx-section\" data-hue=\"social\" 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\">Validation<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Analyses are checked through sensitivity analysis, peer review and stakeholder scrutiny. Retrospective review compares decisions with outcomes.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Check<\/th><th scope=\"col\">How it is done<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Check\">Sensitivity analysis<\/td><td data-label=\"How it is done\">Weights and probabilities are varied to show which of them drive the choice<\/td><\/tr><tr><td data-label=\"Check\">Explicit value judgements<\/td><td data-label=\"How it is done\">Each criterion and weight is recorded with who set it and why<\/td><\/tr><tr><td data-label=\"Check\">Robustness across scenarios<\/td><td data-label=\"How it is done\">Options are tested against several plausible futures, not one expected case<\/td><\/tr><tr><td data-label=\"Check\">Retrospective review<\/td><td data-label=\"How it is done\">Decisions are compared with what followed, separating the quality of the judgement from the luck of the outcome<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Results depend on elicited probabilities and preferences that may be biased. Deep uncertainty can make expected value comparisons misleading.<\/p><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section\" data-hue=\"social\" data-variant=\"split\" 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\">Connections<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Topics that rely on this method.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/risk-literacy\/\"><span>Risk literacy<\/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><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/water-and-food-awareness\/\"><span>Water and food awareness<\/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><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/community-preparedness\/\"><span>Community preparedness<\/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><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/responsible-ai-literacy\/\"><span>Responsible AI literacy<\/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><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/campaign-governance\/\"><span>Campaign governance<\/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><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/participation-consent\/\"><span>Participation consent<\/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><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/campaign-evidence\/\"><span>Campaign evidence<\/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><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/campaign-completion\/\"><span>Campaign completion<\/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><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-stewardship\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" 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\">Stewardship<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Who maintains the method.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/risk-management\/\">Systemic Risk Management<\/a> stewards decision analysis under uncertainty for the Consortium and reviews how it is applied across platforms.<\/p><\/div><div class=\"nx-section-body\"><p class=\"nx-p\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/decision-analysis\/\">Canonical page: Decision analysis under uncertainty<\/a><\/p><\/div><\/div><\/section><section id=\"nx-s-12-sec\" class=\"nx-section\" data-hue=\"social\" 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\">Connected<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Where this page leads across the Consortium.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/stem\/mathematics\/decision-analysis\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Canonical method page<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Decision analysis under uncertainty<\/span><span class=\"nx-dest-why\">Platform application links to the canonical method page.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><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><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/risk-management\/stem\/decision-analysis\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Steward platform<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Decision analysis for risk management<\/span><span class=\"nx-dest-why\">Systemic Risk Management stewards this method.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><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><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-13-sec\" class=\"nx-section\" data-hue=\"social\" 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\">Questions<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What are the limits of decision analysis under uncertainty in this field?<\/summary><div class=\"nx-answer\">Results depend on elicited probabilities and preferences that may be biased. Deep uncertainty can make expected value comparisons misleading.<\/div><\/details><details><summary>How are results checked?<\/summary><div class=\"nx-answer\">Analyses are checked through sensitivity analysis, peer review and stakeholder scrutiny. Retrospective review compares decisions with outcomes.<\/div><\/details><details><summary>Are the values on this page real?<\/summary><div class=\"nx-answer\">The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method's use, not a run; no result is reported here.<\/div><\/details><details><summary>Where else is this method applied?<\/summary><div class=\"nx-answer\">The <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/decision-analysis\/\">canonical method page<\/a> lists every platform that applies it.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-14\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-14\" class=\"nx-h3 nx-mt-2\">Around Nexus Campaigns.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/nexus-campaigns\/stem\/social-science\/\">Social and behavioural science for campaigns <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\/nexus-campaigns\/\">Nexus Campaigns 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\/nexus-campaigns\/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-15\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Nexus Campaigns<\/span><h2 id=\"nx-close-15\" 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=Nexus%20Campaigns%3A%20Decision%20analysis%20for%20risk%20communication\">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\/nexus-campaigns\/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\/nexus-campaigns\/stem\/decision-analysis\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/nexus-campaigns\/stem\/decision-analysis\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What are the limits of decision analysis under uncertainty in this field?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Results depend on elicited probabilities and preferences that may be biased. 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