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: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-scene nx-es-scene\" data-scene=\"text\" data-ground=\"none\" data-es-org=\"gcri\" aria-labelledby=\"nx-scene-title\"><div class=\"nx-scene-intro nx-es-intro\"><p class=\"nx-eyebrow\"><abbr title=\"The Global Centre for Risk and Innovation\">GCRI<\/abbr> \u00b7 Campaigns<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Decision analysis for risk communication<\/h1><p class=\"nx-scene-lede\">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\/write-to-us\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><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 Campaigns<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-1\"><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\">Register<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">Decision analysis for risk communication on the record.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"workbench\"><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\">STEM method<\/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\">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><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-1\" data-hue=\"social\" aria-label=\"Application, Monitor, Data, Simulator\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Application, Monitor, Data, Simulator\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-application\" aria-selected=\"true\" data-key=\"p1\">Application<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-s-3-sec\" aria-selected=\"false\" data-key=\"p2\">Monitor<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-sec-data\" aria-selected=\"false\" data-key=\"p3\">Data<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-4\" aria-controls=\"nx-sec-instrument\" aria-selected=\"false\" data-key=\"p4\">Simulator<\/button><\/div><section id=\"nx-sec-application\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-2\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-1\"><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\">Application<\/span><\/div><h2 id=\"nx-s-2\" 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-s-3-sec\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-3\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-2\"><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\">Monitor<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Uncertainty analysis.<\/h2><p class=\"nx-lede\">The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are 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 example 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 \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&#8217;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 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&#8217;s structure, terms and states for Campaigns.<\/span><span data-honesty=\"true\">Example names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-data\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"split\" aria-labelledby=\"nx-s-4\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-3\"><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\">Data<\/span><\/div><h2 id=\"nx-s-4\" 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\"><a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 expert-elicitation\" data-tk=\"Nexus risk vocabulary\" data-td=\"A structured process for obtaining and combining judgements from experts about uncertain quantities, with attention to bias and calibration.\" data-ts=\"NRS-C1\" data-tr=\"draft\">Expert elicitation<\/a> 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\">Published statistics<\/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-instrument\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-ns-layout=\"es-wide\" aria-labelledby=\"nx-s-5\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-4\"><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\">Simulator<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">A threshold model of collective behaviour.<\/h2><p class=\"nx-lede\">Each agent acts once enough of its contacts have; small changes in the mean threshold or the early movers decide whether the behaviour stays local or cascades through the population. Teaching model with stated illustrative values, not a prediction.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-in nx-fk\" id=\"nx-in-nexus-campaigns-stem-decision-analysis-0\" data-nxi=\"abm\" data-nxi-id=\"abm\" data-nxi-z=\"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\" aria-label=\"A threshold model of collective behaviour\"><div class=\"nx-in-body\"><div class=\"nx-in-main\"><div class=\"nx-in-tabs\" data-nxi-tabs=\"true\" aria-label=\"Views of the model\" hidden><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"result\">Result<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"agents\">Agents<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"phase\">Tipping point<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"tornado\">Sensitivity<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"loops\">Loops<\/button><\/div><div class=\"nx-in-stage\" id=\"nx-in-nexus-campaigns-stem-decision-analysis-0-stage\" data-nxi-stage=\"true\" data-view=\"result\"><svg class=\"nx-in-svg\" viewBox=\"0 0 720 340\" role=\"img\" aria-label=\"Adoption\" data-nx-z=\"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\"><\/svg><\/div><p class=\"nx-in-tip\" data-nxi-tip=\"true\" aria-live=\"polite\"><\/p><div class=\"nx-in-bar\" data-nxi-bar=\"true\" role=\"group\" aria-label=\"Play over time\" hidden><button type=\"button\" class=\"nx-in-btn\" data-nxi-prev=\"true\" aria-label=\"Step back\">&#8249;<\/button><button type=\"button\" class=\"nx-in-btn\" data-nxi-play=\"true\" aria-pressed=\"false\">Play<\/button><button type=\"button\" class=\"nx-in-btn\" data-nxi-next=\"true\" aria-label=\"Step forward\">&#8250;<\/button><span class=\"nx-in-step\" data-nxi-step=\"true\" aria-live=\"polite\"><\/span><\/div><\/div><div class=\"nx-in-side\"><p class=\"nx-eyebrow\">Controls<\/p><div class=\"nx-in-ctl\" data-nxi-ctl=\"true\"><dl class=\"nx-in-pv\"><div><dt>Mean threshold (share of neighbours)<\/dt><dd>18%<\/dd><\/div><div><dt>Spread of thresholds<\/dt><dd>8 points<\/dd><\/div><div><dt>Early movers<\/dt><dd>2.0% of people<\/dd><\/div><div><dt>Contacts per person<\/dt><dd>8<\/dd><\/div><\/dl><\/div><p class=\"nx-eyebrow\">Readouts<\/p><dl class=\"nx-in-out\" data-nxi-out=\"true\" aria-live=\"polite\"><div><dt>Share who acted in the end<\/dt><dd>100%<\/dd><\/div><div><dt>Global cascade<\/dt><dd>Yes<\/dd><\/div><div><dt>Steps to settle<\/dt><dd>10<\/dd><\/div><\/dl><\/div><\/div><details class=\"nx-in-more\"><summary>Numbers, methods and sources<\/summary><div class=\"nx-in-more-in\"><div class=\"nx-in-tblw\" data-nxi-table=\"true\"><table class=\"nx-in-tbl\"><thead><tr><th scope=\"col\">Step<\/th><th scope=\"col\">Share who have acted (%)<\/th><\/tr><\/thead><tbody><tr><th scope=\"row\">0<\/th><td>2.0<\/td><\/tr><tr><th scope=\"row\">1<\/th><td>8.0<\/td><\/tr><tr><th scope=\"row\">2<\/th><td>22.5<\/td><\/tr><tr><th scope=\"row\">3<\/th><td>40.0<\/td><\/tr><tr><th scope=\"row\">4<\/th><td>55.8<\/td><\/tr><tr><th scope=\"row\">5<\/th><td>69.8<\/td><\/tr><tr><th scope=\"row\">6<\/th><td>83.0<\/td><\/tr><tr><th scope=\"row\">7<\/th><td>92.5<\/td><\/tr><tr><th scope=\"row\">8<\/th><td>97.5<\/td><\/tr><tr><th scope=\"row\">9<\/th><td>100.0<\/td><\/tr><tr><th scope=\"row\">10<\/th><td>100.0<\/td><\/tr><\/tbody><\/table><\/div><button type=\"button\" class=\"nx-in-btn\" data-nxi-csv=\"true\" hidden>Download the numbers (CSV)<\/button><h4 class=\"nx-h4\">Methods<\/h4><ol class=\"nx-in-meth\"><li>Threshold models of collective behaviour <span class=\"nx-in-cite\">Granovetter (1978), American Journal of Sociology 83<\/span><\/li><li>Global cascades on random networks <span class=\"nx-in-cite\">Watts (2002), PNAS 99<\/span><\/li><li>Complex contagions <span class=\"nx-in-cite\">Centola and Macy (2007), American Journal of Sociology 113<\/span><\/li><li>One-at-a-time sensitivity (tornado) <span class=\"nx-in-cite\">Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley<\/span><\/li><\/ol><h4 class=\"nx-h4\">Data<\/h4><p class=\"nx-p\">No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme&#8217;s own evidence.<\/p><\/div><\/details><figcaption class=\"nx-caption\">A threshold model of collective behaviour. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: Threshold models of collective behaviour (Granovetter (1978), American Journal of Sociology 83); Global cascades on random networks (Watts (2002), PNAS 99); Complex contagions (Centola and Macy (2007), American Journal of Sociology 113).<\/figcaption><div class=\"nx-in-pls\"><p class=\"nx-eyebrow\">Across the six pillars, led by Nexus Consortium<\/p><ul class=\"nx-in-pl\" aria-label=\"Where this instrument connects across the pillars\"><li data-pillar=\"labs\" data-hue=\"social\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Experiments<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-labs\/\">Labs<\/a><\/li><li data-pillar=\"foundry\" data-hue=\"infrastructure\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Built in<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/foundry\/\">Campaigns in Foundry<\/a><\/li><li data-pillar=\"universe\" data-hue=\"water\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Tested at<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/universe\/\">Campaigns in Universe<\/a><\/li><li data-pillar=\"standards\" data-hue=\"biodiversity\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Codified in<\/span> <a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/society\/\">Governance, Security and Society in Standards<\/a><\/li><li data-pillar=\"reports\" data-hue=\"energy\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Published in<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/reports\/\">Campaigns in Reports<\/a><\/li><li data-pillar=\"academy\" data-hue=\"risk\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Taught in<\/span> <a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/governance-policy\/\">Faculty of Governance, Policy and International Affairs in Academy<\/a><\/li><\/ul><\/div><span class=\"nx-in-keep\" hidden><i data-c=\"c1\"><\/i><i data-c=\"c2\"><\/i><i data-c=\"c3\"><\/i><i data-c=\"c4\"><\/i><i data-c=\"c5\"><\/i><i data-c=\"c6\"><\/i><i data-c=\"l0\"><\/i><i data-c=\"l1\"><\/i><i data-c=\"l2\"><\/i><i data-c=\"l3\"><\/i><i data-c=\"l5\"><\/i><i data-c=\"h3\"><\/i><i data-c=\"neg\"><\/i><i data-c=\"on0\"><\/i><i data-c=\"on1\"><\/i><i data-l=\"0\"><\/i><i data-l=\"1\"><\/i><i data-l=\"2\"><\/i><i data-l=\"3\"><\/i><i data-l=\"4\"><\/i><i data-l=\"5\"><\/i><i data-on=\"0\"><\/i><i data-on=\"1\"><\/i><i data-pol=\"p\"><\/i><i data-pol=\"n\"><\/i><i data-k=\"R\"><\/i><i data-k=\"B\"><\/i><i data-k=\"dash\"><\/i><i data-dash=\"true\"><\/i><i data-view=\"result\"><\/i><i data-nxi-live=\"on\"><\/i><i data-nxi-live=\"off\"><\/i><i class=\"nx-in-svg nx-in-grid nx-in-ax nx-in-tk nx-in-at nx-in-ln nx-in-band nx-in-lbl nx-in-lk nx-in-ref nx-in-reft nx-in-mk nx-in-x nx-in-rect nx-in-val nx-in-rowl nx-in-cl nx-in-arrow nx-in-pol nx-in-cln nx-in-loop nx-in-edge nx-in-node nx-in-nl nx-in-reach nx-in-trib nx-in-agent nx-in-flow nx-in-legend nx-in-sw nx-in-note nx-in-loops nx-in-3d nx-in-cv nx-in-field nx-in-fl nx-in-fv nx-in-range nx-in-btn nx-in-err nx-in-tbl nx-in-cite\"><\/i><\/span><\/figure><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-2\" data-tone=\"alt\" data-hue=\"social\" aria-label=\"Validation, Methods and evidence, Connections, Stewardship\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Validation, Methods and evidence, Connections, Stewardship\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-1\" aria-controls=\"nx-sec-checks\" aria-selected=\"true\" data-key=\"p1\">Validation<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-2\" aria-controls=\"nx-sec-audience\" aria-selected=\"false\" data-key=\"p2\">Methods and evidence<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-3\" aria-controls=\"nx-sec-connections\" aria-selected=\"false\" data-key=\"p3\">Connections<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-4\" aria-controls=\"nx-sec-stewardship\" aria-selected=\"false\" data-key=\"p4\">Stewardship<\/button><\/div><section id=\"nx-sec-checks\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"split\" aria-labelledby=\"nx-s-6\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-1\"><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\">Validation<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Analyses are checked through <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 sensitivity-analysis\" data-tk=\"Nexus risk vocabulary\" data-td=\"Testing how much a model's outputs change when inputs or assumptions change, to identify which drive results.\" data-ts=\"NRS-C1\" data-tr=\"draft\">sensitivity analysis<\/a>, 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-audience\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-7\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-2\"><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\">Methods and evidence<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">How decision analysis for risk communication is modelled, measured and tested.<\/h2><p class=\"nx-lede\">The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-au\" data-au-voice=\"science\" data-au-n=\"1\"><figure class=\"nx-au-c\" data-au-fig=\"system-model\"><h3 class=\"nx-h4\">System model<\/h3><p class=\"nx-p nx-au-what\">The couplings between the systems in decision analysis for risk communication: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.<\/p><div class=\"nx-au-fig\"><svg class=\"nx-au-svg\" viewBox=\"0 0 560 250\" role=\"img\" aria-label=\"Causal loop diagram of Information, Society, Communities, Economy\" focusable=\"false\"><line class=\"nx-au-ac\" x1=\"280\" y1=\"32\" x2=\"404.7\" y2=\"118\"\/><text class=\"nx-au-t nx-au-sign\" x=\"342.35\" y=\"71\" text-anchor=\"middle\">+<\/text><line class=\"nx-au-ln\" x1=\"404.7\" y1=\"118\" x2=\"280\" y2=\"204\"\/><text class=\"nx-au-t nx-au-sign\" x=\"342.35\" y=\"157\" text-anchor=\"middle\">+<\/text><line class=\"nx-au-ln\" x1=\"280\" y1=\"204\" x2=\"155.3\" y2=\"118\"\/><text class=\"nx-au-t nx-au-sign\" x=\"217.65\" y=\"157\" text-anchor=\"middle\">\u2212<\/text><line class=\"nx-au-ln\" x1=\"155.3\" y1=\"118\" x2=\"280\" y2=\"32\"\/><text class=\"nx-au-t nx-au-sign\" x=\"217.65\" y=\"71\" text-anchor=\"middle\">+<\/text><circle class=\"nx-au-nd nx-au-nd-ac\" cx=\"280.0\" cy=\"32.0\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"280\" y=\"20\" text-anchor=\"middle\">Information<\/text><circle class=\"nx-au-nd nx-au-nd-ac\" cx=\"404.7\" cy=\"118.0\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"416.7\" y=\"122\" text-anchor=\"start\">Society<\/text><circle class=\"nx-au-nd\" cx=\"280.0\" cy=\"204.0\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"280\" y=\"192\" text-anchor=\"middle\">Communities<\/text><circle class=\"nx-au-nd\" cx=\"155.3\" cy=\"118.0\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"143.3\" y=\"136\" text-anchor=\"end\">Economy<\/text><text class=\"nx-au-t nx-au-lb\" x=\"280\" y=\"114\" text-anchor=\"middle\">R  reinforcing<\/text><text class=\"nx-au-t\" x=\"280\" y=\"132\" text-anchor=\"middle\">B  balancing<\/text><\/svg><\/div><figcaption class=\"nx-caption\"><span>Causal loop diagram from the page&#8217;s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-chips nx-au-fw\" aria-label=\"Frameworks cited\"><span class=\"nx-chip\">FAIR guiding principles \u00b7 GO FAIR and FORCE11<\/span><span class=\"nx-chip\">W3C PROV \u00b7 World Wide Web Consortium<\/span><span class=\"nx-chip\">Guidance on consistent treatment of uncertainties \u00b7 IPCC<\/span><span class=\"nx-chip\">CEOS Analysis Ready Data \u00b7 Committee on Earth Observation Satellites<\/span><\/div><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-8\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-3\"><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\">Connections<\/span><\/div><h2 id=\"nx-s-8\" 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\"><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\"><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\"><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\"><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\"><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\"><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\"><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\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-stewardship\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-9\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-4\"><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\">Stewardship<\/span><\/div><h2 id=\"nx-s-9\" 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><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-3\" data-hue=\"social\" aria-label=\"Connected, Questions\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Connected, Questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-1\" aria-controls=\"nx-s-10-sec\" aria-selected=\"true\" data-key=\"p1\">Connected<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-2\" aria-controls=\"nx-s-11-sec\" aria-selected=\"false\" data-key=\"p2\">Questions<\/button><\/div><section id=\"nx-s-10-sec\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-10\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-1\"><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\">Connected<\/span><\/div><h2 id=\"nx-s-10\" 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\/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\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-11-sec\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-11\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-2\"><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\">Questions<\/span><\/div><h2 id=\"nx-s-11\" 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&#8217;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><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-nr-gateway-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">Reports<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Contribute<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute evidence from this page.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports\">Reports<\/a> is the Consortium&#8217;s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.<\/p><div class=\"nx-chips\"><span class=\"nx-chip\">GCRI<\/span><span class=\"nx-chip\">Campaigns<\/span><span class=\"nx-chip\">Evidence Brief<\/span><\/div><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/nexus-campaigns\/write-to-us\/contact\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Email<\/span><span class=\"nx-dest-host\">Gateway GW-GCRI<\/span><\/span><span class=\"nx-dest-title\">Send it from this page<\/span><span class=\"nx-dest-why\">Evidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/nexus-reports\/open-science\/#nx-sec-zenodo\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Zenodo<\/span><span class=\"nx-dest-host\">Open deposit<\/span><\/span><span class=\"nx-dest-title\">Deposit it and submit to the community<\/span><span class=\"nx-dest-why\">Publish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. 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A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.<\/p><\/div><\/div><\/section><section class=\"nx-section nx-deeper-band\" aria-labelledby=\"nx-deeper-sk-global-nexus-campaigns-stem-decision-analysis-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper-sk-global-nexus-campaigns-stem-decision-analysis-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper-sk-global-nexus-campaigns-stem-decision-analysis-h\">Go deeper<\/h2><ul><li><a href=\"https:\/\/docs.therisk.global\/organization\/model\/scenarios\/urban-flood\" data-ext><span class=\"nx-deeper-k\">Documentation:<\/span> Urban flood<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/governance-policy\/ai-digital-governance\/\" data-ext><span class=\"nx-deeper-k\">Academy:<\/span> AI and digital governance<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/nexustandards.com\/communities\/global-consortium\/\" data-ext><span class=\"nx-deeper-k\">Standards:<\/span> Global consortium<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><\/ul><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-12\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Campaigns<\/span><h2 id=\"nx-close-12\" class=\"nx-section-title\">Bring a method, a dataset or a question.<\/h2><p class=\"nx-lede\">Information and enquiries are open today. 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