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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n2qx2q6l.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=\"grf\" aria-labelledby=\"nx-scene-title\"><div class=\"nx-scene-intro nx-es-intro\"><p class=\"nx-eyebrow\"><abbr title=\"The Global Risks Forum\">GRF<\/abbr> \u00b7 Foresight Nexus<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Methods and critical debate<\/h1><p class=\"nx-scene-lede\">The methods Foresight Nexus relies on to inform policy and governance decisions: comparative governance, policy analysis, foresight and exercises with institutions, with the mandates they serve and their limits.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskforum.com\/foresight\/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:\/\/globalriskforum.com\/foresight\/research\/\">Back to Research and institutional knowledge<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"systemic\" 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\">Workspace<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">The workspace for methods and critical debate.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"split\"><div><div class=\"nx-window\"><div class=\"nx-window-bar\" aria-hidden=\"true\"><span class=\"nx-window-dots\"><span><\/span><span><\/span><span><\/span><\/span><span><strong>GRF<\/strong> \u00b7 Foresight Nexus \u00b7 Evidence register<\/span><span class=\"nx-window-note\">Illustrative<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-foresight-evidence-register\" data-cx=\"foresight.evidence-register\" data-variant=\"hero\" aria-label=\"Evidence register: illustrative console with example names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Evidence register<\/h3><p class=\"nx-fk-sub\">Foresight \u00b7 Methods and critical debate \u00b7 Example interface, not a record<\/p><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Register current<\/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=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Indicators<\/h4><p class=\"nx-fk-panel-sub\">unit \u00b7 cadence \u00b7 label<\/p><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-foresight-evidence-register-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-foresight-evidence-register-t0\" aria-label=\"Indicators\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Indicator<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Unit<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Cadence<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Label<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Passport<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-foresight-evidence-register:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Signals logged<\/td><td>signals<\/td><td>weekly<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Published statistics<\/span><\/td><td>SP-7192<\/td><\/tr><tr data-fk-key=\"cx-foresight-evidence-register:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\" aria-current=\"true\" data-cur=\"true\"><td>Clusters emerging<\/td><td>clusters<\/td><td>quarterly<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>DERIVED<\/span><\/td><td>SP-4671<\/td><\/tr><tr data-fk-key=\"cx-foresight-evidence-register:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Scenarios in use<\/td><td>scenarios<\/td><td>annual<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Published statistics<\/span><\/td><td>SP-9239<\/td><\/tr><tr data-fk-key=\"cx-foresight-evidence-register:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Policies wind-tunnelled<\/td><td>policies<\/td><td>annual<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Published statistics<\/span><\/td><td>SP-0789<\/td><\/tr><tr data-fk-key=\"cx-foresight-evidence-register:r0-4\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Indicators monitored<\/td><td>indicators<\/td><td>quarterly<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Published statistics<\/span><\/td><td>SP-6868<\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"kv\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Source passport<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>Source<\/dt><dd>Signals library<\/dd><\/div><div><dt>Licence<\/dt><dd>open \u00b7 attribution<\/dd><\/div><div><dt>Steward<\/dt><dd>Futures panel<\/dd><\/div><div><dt>Coverage<\/dt><dd>92 pct of places<\/dd><\/div><div><dt>Known limits<\/dt><dd>sparse in uplands<\/dd><\/div><\/dl><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Coverage by place<\/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=\"Coverage by place\" data-fk-chart=\"cx-foresight-evidence-register-c2\" data-nx-z=\"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\"><\/svg><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Evidence register.<\/span><span data-honesty=\"true\">Illustrative interface; not live data.<\/span><\/figcaption><\/figure><\/div><\/div><p class=\"nx-caption\"><strong>Foresight Nexus \u00b7 Evidence register.<\/strong> <span>Evidence register: example names and illustrative values, not a record.<\/span><\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" aria-labelledby=\"nx-s-2\"><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\">Methods<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The methods in use.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\"><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\"><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=\"Canonical \u00b7 STEM Commons: Scenario design and stress testing\">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\">02<\/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\"><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=\"Canonical \u00b7 STEM Commons: Forecasting and time-series analysis\">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\">03<\/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\"><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=\"Canonical \u00b7 STEM Commons: Complex systems and agent-based modelling\">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\">04<\/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\"><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=\"Canonical \u00b7 STEM Commons: Decision analysis under uncertainty\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><\/div><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"search\" data-nxf-kind=\"search\" data-nxf-resource=\"nexus:\/\/grf\/R04\/research\/methods\/#search\" data-nxf-title=\"Search publications\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-sec-pg-methods\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"split\" aria-labelledby=\"nx-s-3\"><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\">The foresight toolkit with<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">The foresight toolkit with its proper uses.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th>Method<\/th><th>Output<\/th><th>Platform page<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Method\">Scenario planning and stress testing<\/td><td data-label=\"Output\">Plans tested against several futures<\/td><td data-label=\"Platform page\"><a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/foresight\/stem\/scenario-stress\/\">Scenario stress<\/a><\/td><\/tr><tr><td data-label=\"Method\">Forecasting and prediction aggregation<\/td><td data-label=\"Output\">Probabilities for well-defined questions<\/td><td data-label=\"Platform page\"><a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/foresight\/stem\/forecasting\/\">Forecasting<\/a><\/td><\/tr><tr><td data-label=\"Method\"><a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 robust-decision\" data-tk=\"Nexus risk vocabulary\" data-td=\"A decision that performs acceptably across many plausible futures, chosen when the likelihood of futures cannot be agreed.\" data-ts=\"NRS-C1\" data-tr=\"draft\">Robust decision<\/a> making<\/td><td data-label=\"Output\">Strategies that perform acceptably across futures<\/td><td data-label=\"Platform page\"><a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/foresight\/stem\/decision-analysis\/\">Decision analysis<\/a><\/td><\/tr><tr><td data-label=\"Method\">Complex <a class=\"nx-link nx-term\" href=\"https:\/\/docs.therisk.global\/organization\/systems\" data-tc=\"Systems\" data-tk=\"Nexus Standards\" data-td=\"The twenty Nexus systems, NXS-CMD to NXS-LAB\">systems<\/a> modelling<\/td><td data-label=\"Output\">Behaviour of interacting parts over time<\/td><td data-label=\"Platform page\"><a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/foresight\/stem\/complex-systems\/\">Complex systems<\/a><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/grf\/R04\/research\/methods\/#evidence\" data-nxf-title=\"Evidence records\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" aria-labelledby=\"nx-s-4\"><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\">Process<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">How the process runs.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-launch\" id=\"explore-nx-pe-catmodel\" data-kind=\"explorer\" data-js><div class=\"nx-launch-row\"><div class=\"nx-launch-text\"><p class=\"nx-launch-eb\">Process explorer \u00b7 Process<\/p><h3 class=\"nx-launch-t\" id=\"explore-nx-pe-catmodel-t\">Methods and critical debate: Catastrophe model pipeline<\/h3><p class=\"nx-launch-facts\"><span>10 steps<\/span><span class=\"nx-launch-sep\" aria-hidden=\"true\">\u00b7<\/span><span>5 stages<\/span><\/p><\/div><button type=\"button\" class=\"nx-launch-open\" aria-expanded=\"false\" aria-controls=\"explore-nx-pe-catmodel-body\" data-open-label=\"Open explorer\" data-close-label=\"Close explorer\"><svg class=\"nx-launch-i nx-launch-play\" viewBox=\"0 0 14 14\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 1v12L13 7z\"\/><\/svg><svg class=\"nx-launch-i nx-launch-x\" viewBox=\"0 0 14 14\" aria-hidden=\"true\" focusable=\"false\"><path d=\"m2.5 2.5 9 9m0-9-9 9\"\/><\/svg><span>Open explorer<\/span><\/button><\/div><div class=\"nx-launch-body\" id=\"explore-nx-pe-catmodel-body\" role=\"region\" aria-labelledby=\"explore-nx-pe-catmodel-t\" tabindex=\"-1\"><div class=\"nx-pe\" id=\"nx-pe-catmodel\" data-nx-pe=\"nx-pe-catmodel\" data-active=\"catmodel\"><div class=\"nx-pe-shell\"><p class=\"nx-pe-eb\">Process<\/p><h2 class=\"nx-pe-title\">Methods and critical debate: Catastrophe model pipeline<\/h2><p class=\"nx-pe-cap\">Catastrophe models usually have hazard, vulnerability, exposure and financial modules, and produce loss tables, <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 average-annual-loss\" data-tk=\"Nexus risk vocabulary\" data-td=\"The long-run expected loss per year, averaged over all possible events; it equals the area under the loss exceedance curve.\" data-ts=\"NRS-C1\" data-tr=\"draft\">average annual loss<\/a>, exceedance curves, PML and TVaR.<\/p><ol class=\"nx-pe-steps\"><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">01 Hazard<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">01<\/span><span class=\"nx-pe-st\">Event catalogue<\/span><span class=\"nx-pe-k\">Dataset \u00b7 Model developer<\/span><span class=\"nx-pe-sm\">The hazard module holds a large catalogue of simulated events that represents a wide range of plausible scenarios.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">03<\/span><span class=\"nx-pe-st\">Hazard module<\/span><span class=\"nx-pe-k\">Model \u00b7 Model developer<\/span><span class=\"nx-pe-sm\">For each event the hazard module gives the local <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 hazard-intensity\" data-tk=\"Nexus risk vocabulary\" data-td=\"The physical or functional strength of a hazard at a location, expressed through a measure appropriate to that hazard, such as depth, speed, shaking or concentration.\" data-ts=\"NRS-C1\" data-tr=\"draft\">hazard intensity<\/a> that the vulnerability module reads.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">02 Exposure and damage<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">02<\/span><span class=\"nx-pe-st\">Exposure<\/span><span class=\"nx-pe-k\">Dataset \u00b7 Scanning network member<\/span><span class=\"nx-pe-sm\">The exposure module houses the portfolio data, such as location-specific information.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">04<\/span><span class=\"nx-pe-st\">Vulnerability module<\/span><span class=\"nx-pe-k\">Model \u00b7 Model developer<\/span><span class=\"nx-pe-sm\">The vulnerability module quantifies the expected damage to the exposures from an event.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">03 Financial<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">05<\/span><span class=\"nx-pe-st\">Financial module<\/span><span class=\"nx-pe-k\">Model \u00b7 Scanning network member<\/span><span class=\"nx-pe-sm\">The financial module calculates losses from all event scenarios. Ground-up, gross and net losses differ as shown below.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">06<\/span><span class=\"nx-pe-st\">Event loss table<\/span><span class=\"nx-pe-k\">Dataset \u00b7 Scanning network member<\/span><span class=\"nx-pe-sm\">An event loss table lists each event with its annual occurrence probability and its loss for the portfolio.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">07<\/span><span class=\"nx-pe-st\">Year loss table<\/span><span class=\"nx-pe-k\">Dataset \u00b7 Scanning network member<\/span><span class=\"nx-pe-sm\">Some models also sample simulated years from event losses. This outline does not describe their format.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">04 Metrics<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">08<\/span><span class=\"nx-pe-st\"><a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 exceedance-probability\" data-tk=\"Nexus risk vocabulary\" data-td=\"The probability that a quantity will reach or exceed a given level over a given period.\" data-ts=\"NRS-C1\" data-tr=\"draft\">Exceedance probability<\/a> curves<\/span><span class=\"nx-pe-k\">Model \u00b7 Scanning network member<\/span><span class=\"nx-pe-sm\">The occurrence curve gives the chance that the largest loss in a year exceeds an amount. The aggregate curve does so for the sum of losses.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">09<\/span><span class=\"nx-pe-st\">AAL, PML and TVaR<\/span><span class=\"nx-pe-k\">Model \u00b7 Scanning network member<\/span><span class=\"nx-pe-sm\">Average annual loss sums event probability times loss. PML is one point on the occurrence curve.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">05 Use of results<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">10<\/span><span class=\"nx-pe-st\">Use of results<\/span><span class=\"nx-pe-k\">Decision \u00b7 Scanning network member<\/span><span class=\"nx-pe-sm\">The tail metrics are used when considering a portfolio&#8217;s exposure and the level of catastrophe reinsurance an insurer requires.<\/span><\/li><\/ol><\/li><\/ol><p class=\"nx-pe-foot\"><span>Outline of an external standard or method, from its public sources. It describes what the framework says, not a record of any run. It does not show that Nexus or any partner performs, certifies or approves a step. A gate is a step of the method, never a Nexus approval.<\/span><\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-uncertainty\" class=\"nx-section\" data-hue=\"systemic\" 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\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Uncertainty<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">How uncertainty is reported.<\/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\">State assumptions<\/h3><p class=\"nx-p nx-mt-1\">Each analysis lists its assumptions and the data it depends on.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Quantify where possible<\/h3><p class=\"nx-p nx-mt-1\">Ranges and confidence are reported alongside central estimates.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Validate and compare<\/h3><p class=\"nx-p nx-mt-1\">Models are checked against observations and, where possible, against other models.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Publish limits<\/h3><p class=\"nx-p nx-mt-1\">What an analysis cannot show is stated beside what it can.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" aria-labelledby=\"nx-s-6\"><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\">Sources<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Where this page&#8217;s references lead.<\/h2><p class=\"nx-lede\">The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li><a class=\"nx-link\" href=\"https:\/\/www.rand.org\/topics\/robust-decision-making.html\">RAND Robust Decision Making<\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-7-sec\" class=\"nx-section\" data-hue=\"systemic\" aria-labelledby=\"nx-s-7\"><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\">Questions<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Are the methods open?<\/summary><div class=\"nx-answer\">Method descriptions are public on the STEM Commons. Code and data follow their own licences and access terms, listed in the source register.<\/div><\/details><\/div><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"risk\" 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\">Global Risks Forum<\/span><span class=\"nx-chip\">Foresight Nexus<\/span><span class=\"nx-chip\">Foresight Outlook<\/span><span class=\"nx-chip\">Scenario and Stress-Test<\/span><\/div><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/globalriskforum.com\/foresight\/write-to-us\/contact\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Email<\/span><span class=\"nx-dest-host\">Gateway GW-GRF<\/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:\/\/globalriskforum.com\/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-globalriskforum-com-foresight-research-methods-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper-globalriskforum-com-foresight-research-methods-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper-globalriskforum-com-foresight-research-methods-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\/systems-nexus\/global-catastrophic-risk\/\" data-ext><span class=\"nx-deeper-k\">Academy:<\/span> Global catastrophic risks<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\/systemic-risk\/global-and-systemic-risk\/\" data-ext><span class=\"nx-deeper-k\">Standards:<\/span> Global and systemic risk<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-8\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Foresight Nexus<\/span><h2 id=\"nx-close-8\" class=\"nx-section-title\">Bring a governance question to the Forum.<\/h2><p class=\"nx-lede\">Information and enquiries are open today. 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