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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n22nvtxc.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=\"gra\" aria-labelledby=\"nx-scene-title\"><div class=\"nx-scene-intro nx-es-intro\"><p class=\"nx-eyebrow\"><abbr title=\"The Global Risks Alliance\">GRA<\/abbr> \u00b7 Actuarial and Quantitative Risk<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><p class=\"nx-scene-accent nx-es-sig\"><strong>Spatial finance<\/strong><span>Where capital meets hazard, exposure and transition<\/span><\/p><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Data and technical methods<\/h1><p class=\"nx-scene-lede\">Platform tools teach and test methods: exceedance curve builders, tail estimators and dependence sketches with synthetic data.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/tools\/maps\/\">Open Released maps <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:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/\">Back to Actuarial and Quantitative Risk<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"finance\" 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 data and technical methods.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"console\"><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>GRA<\/strong> \u00b7 Actuarial and Quantitative Risk \u00b7 Build workspace<\/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-actuarial-build\" data-cx=\"actuarial.build\" data-variant=\"hero\" aria-label=\"Build workspace: illustrative console with example names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Build workspace<\/h3><p class=\"nx-fk-sub\">Actuarial and quantitative risk \u00b7 Data and technical methods \u00b7 Run R-5220 \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>Run in progress<\/span><span class=\"nx-cx-prod\">GRA \u00b7 Actuarial and Quantitative Risk<\/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\">Runs<\/h4><p class=\"nx-fk-panel-sub\">same inputs, versioned<\/p><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-actuarial-build-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-actuarial-build-t0\" aria-label=\"Runs\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Run<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Model<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Data version<\/button><\/th><th scope=\"col\" data-col=\"c3\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Skill<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">State<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-actuarial-build:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\" aria-current=\"true\" data-cur=\"true\"><td>R-3801<\/td><td>Actuarial mathematics<\/td><td>v9.6<\/td><td data-num=\"true\" data-sv=\"0.61\">0.61<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Running<\/span><\/td><\/tr><tr data-fk-key=\"cx-actuarial-build:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>R-3474<\/td><td>Extreme value theory<\/td><td>v5.9<\/td><td data-num=\"true\" data-sv=\"0.76\">0.76<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Passed<\/span><\/td><\/tr><tr data-fk-key=\"cx-actuarial-build:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>R-6739<\/td><td>Probability<\/td><td>v4.6<\/td><td data-num=\"true\" data-sv=\"0.77\">0.77<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Passed<\/span><\/td><\/tr><tr data-fk-key=\"cx-actuarial-build:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>R-3818<\/td><td>Uncertainty<\/td><td>v5.5<\/td><td data-num=\"true\" data-sv=\"0.78\">0.78<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Passed<\/span><\/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\">Model card<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>Method<\/dt><dd>Actuarial mathematics<\/dd><\/div><div><dt>Inputs<\/dt><dd>Claims triangles, Exposure data<\/dd><\/div><div><dt>Validation<\/dt><dd>held-out period, skill reported<\/dd><\/div><div><dt>Label<\/dt><dd><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>MODELLED<\/span><\/dd><\/div><\/dl><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"log\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Run log<\/h4><\/div><\/div><ol class=\"nx-cx-log\"><li><span class=\"nx-cx-ref\">00:00:<span class=\"nx-cx-n\">23<\/span><\/span><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Info<\/span><span>Ingest claims triangles<\/span><\/li><li><span class=\"nx-cx-ref\">00:0<span class=\"nx-cx-n\">2<\/span>:12<\/span><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Info<\/span><span>Schema and licence checks passed<\/span><\/li><li><span class=\"nx-cx-ref\">00:0<span class=\"nx-cx-n\">7<\/span>:40<\/span><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Warn<\/span><span>Gap filled by interpolation, flagged<\/span><\/li><li><span class=\"nx-cx-ref\">00:<span class=\"nx-cx-n\">16<\/span>:03<\/span><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Done<\/span><span>Calibration complete<\/span><\/li><li><span class=\"nx-cx-ref\">00:<span class=\"nx-cx-n\">20<\/span>:55<\/span><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Gate<\/span><span>Independent test queued<\/span><\/li><\/ol><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Build workspace.<\/span><span data-honesty=\"true\">Illustrative interface; not live data.<\/span><\/figcaption><\/figure><\/div><\/div><p class=\"nx-caption\"><strong>Actuarial and Quantitative Risk \u00b7 Build workspace.<\/strong> <span>Build workspace: example names and illustrative values, not a record.<\/span><\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-tools\" class=\"nx-section\" data-hue=\"project\" 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\">Tools<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">What is published here.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"3\"><div><span class=\"nx-eyebrow\">Maps<\/span><h3 class=\"nx-h4 nx-mt-2\">Released maps<\/h3><p class=\"nx-p nx-mt-1\"><a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/tools\/maps\/\">Open the released maps<\/a><\/p><\/div><div><span class=\"nx-eyebrow\">Models<\/span><h3 class=\"nx-h4 nx-mt-2\">Reviewed models and scenarios<\/h3><p class=\"nx-p nx-mt-1\"><a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/tools\/models\/\">Open the reviewed models<\/a><\/p><\/div><div><span class=\"nx-eyebrow\">Scenarios<\/span><h3 class=\"nx-h4 nx-mt-2\">Sector scenarios<\/h3><p class=\"nx-p nx-mt-1\"><a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/tools\/\">Open the sector scenarios<\/a><\/p><\/div><\/div><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"workflow\" data-nxf-kind=\"workflow\" data-nxf-resource=\"nexus:\/\/gra\/A-P11\/tools\/#workflow\" data-nxf-title=\"Programme state\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-sec-pg-nx-gra-ap11-to\" class=\"nx-section\" data-hue=\"finance\" 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\">Tools and limits<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Tools and limits.<\/h2><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th>Tool<\/th><th>Shows<\/th><th>Limit<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Tool\">Exceedance curve builder<\/td><td data-label=\"Shows\">Loss metrics from events<\/td><td data-label=\"Limit\">Synthetic<\/td><\/tr><tr><td data-label=\"Tool\">Tail estimator<\/td><td data-label=\"Shows\">Return levels with intervals<\/td><td data-label=\"Limit\">Teaching data<\/td><\/tr><tr><td data-label=\"Tool\">Dependence sketch<\/td><td data-label=\"Shows\">Effect of correlation on aggregate loss<\/td><td data-label=\"Limit\">Illustrative<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-p\">In Actuarial and Quantitative Risk, a released map states its hazard layer and resolution, a model its assumptions and validation, and a scenario its narrative, for example dependence under stress. Values shown before release are design values.<\/p><\/div><\/div><\/section><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"project\" 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-pe\" id=\"nx-pe-gis-chain\" data-nx-pe=\"nx-pe-gis-chain\" data-active=\"gis-chain\"><div class=\"nx-pe-shell\"><p class=\"nx-pe-eb\">Process<\/p><h2 class=\"nx-pe-title\">Data and technical methods: Layers to published map<\/h2><p class=\"nx-pe-cap\">Layers enter with their rights, are aligned, analysed and checked for uncertainty, then released after public-safe review; a map is a governed spatial claim.<\/p><ol class=\"nx-pe-steps\"><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">01 Data<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">01<\/span><span class=\"nx-pe-st\">Source layers with their rights<\/span><span class=\"nx-pe-k\">Dataset \u00b7 <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-s6\" data-tc=\"NXS-GRX\" data-tk=\"Nexus system\" data-td=\"Canonical data, provenance and risk\" data-ts=\"NRS-S6\">NXS-GRX<\/a> (canonical data, provenance and risk)<\/span><span class=\"nx-pe-sm\">Spatial views of The Global Risks Index (NXS-GRX) products sit under the boundary licence gate. Rights classification sets how a layer may be used.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">02 Harmonise<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">02<\/span><span class=\"nx-pe-st\">Coordinate reference and boundary version<\/span><span class=\"nx-pe-k\">Record \u00b7 <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-s7\" data-tc=\"NXS-EOP\" data-tk=\"Nexus system\" data-td=\"Earth observation and digital twins\" data-ts=\"NRS-S7\">NXS-EOP<\/a> (earth observation and digital twins)<\/span><span class=\"nx-pe-sm\">The area of interest preserves its coordinate reference system, polygon validity and observation support. Boundary versions are kept.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">03<\/span><span class=\"nx-pe-st\">Harmonise units, variables and time<\/span><span class=\"nx-pe-k\">Step<\/span><span class=\"nx-pe-sm\">Unit metadata, conversion records and transformation logs are required. Alignment is an evidence event, not hidden preprocessing.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">03 Analyse and check<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">04<\/span><span class=\"nx-pe-st\">Analyse with a recorded processing recipe<\/span><span class=\"nx-pe-k\">Model \u00b7 GIS team<\/span><span class=\"nx-pe-sm\">A processing recipe records parameters, calibration, inputs and output lineage. The analysis methods are named in each product&#8217;s own record.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">05<\/span><span class=\"nx-pe-st\">Spatial uncertainty check<\/span><span class=\"nx-pe-k\">Gate<\/span><span class=\"nx-pe-sm\">Spatial uncertainty is recorded and affects downstream use. A high-uncertainty polygon may suit internal review, not public-safe release.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">04 Publish<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">06<\/span><span class=\"nx-pe-st\">Spatial metadata bundle<\/span><span class=\"nx-pe-k\">Record<\/span><span class=\"nx-pe-sm\">The bundle records boundary type, jurisdiction, geometry version, projection, resolution, source, time window, uncertainty and access class.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">07<\/span><span class=\"nx-pe-st\">Public-safe release of the map<\/span><span class=\"nx-pe-k\">Decision<\/span><span class=\"nx-pe-sm\">The output record names the redactions, uncertainty and public-safe reviewer. A map is a governed spatial claim, never merely a picture.<\/span><\/li><\/ol><\/li><\/ol><p class=\"nx-pe-foot\"><span><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/standardization\/nexus-ecosystem\/iii.-infrastructure\/operations\/nexus-ecosystem-spatio-temporal-intelligence\" rel=\"noopener\">Spatio-temporal intelligence<\/a> \u00b7 Data protocols: semantic, jurisdictional and temporal intelligence \u00b7 NXS-EOP<\/span><span>Designed programme process, not a record of operation. No cycle has run and every programme is at service level R0. A gate is a programme decision, never a public-authority approval, certification or deployment authorisation. The pages cited are design doctrine.<\/span><\/p><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-1\" data-hue=\"finance\" aria-label=\"Build environment, Sources, Pages, 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=\"Build environment, Sources, Pages, Questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-build-environment\" aria-selected=\"true\" data-key=\"p1\">Build environment<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-sec-pg-sources\" aria-selected=\"false\" data-key=\"p2\">Sources<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-s-7-sec\" aria-selected=\"false\" data-key=\"p3\">Pages<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-4\" aria-controls=\"nx-s-8-sec\" aria-selected=\"false\" data-key=\"p4\">Questions<\/button><\/div><section id=\"nx-sec-build-environment\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" data-variant=\"band\" aria-labelledby=\"nx-s-5\" 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\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Build environment<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Working with the tools.<\/h2><p class=\"nx-lede\">Analysis runs in <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/foundry\/\">Foundry<\/a> for authorised projects. Public pages show released views only, each with its time and space reference and its rights.<\/p><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-6\" 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\">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:\/\/oasislmf.org\/\">Oasis Loss Modelling Framework (open-source catastrophe modelling)<\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-7-sec\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" aria-labelledby=\"nx-s-7\" 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\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Pages<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Pages in Data and technical methods.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-cards\" data-cols=\"3\"><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/tools\/maps\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Released maps<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/tools\/models\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Reviewed models and scenarios<\/h3><\/a><\/div><\/div><\/div><\/section><section id=\"nx-s-8-sec\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-8\" 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\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Can I use the data?<\/summary><div class=\"nx-answer\">Each released view states its licence and terms. Data that is not released is not available through these pages.<\/div><\/details><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"finance\" 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. 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