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\"><style>#nxe-n7uolvvd.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n7uolvvd.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n7uolvvd.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n7uolvvd.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n7uolvvd.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n7uolvvd.nxe :where(ul,ol){padding-left:20px}#nxe-n7uolvvd.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n7uolvvd.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n7uolvvd.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n7uolvvd.nxe svg{display:none}#nxe-n7uolvvd.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n7uolvvd.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n7uolvvd.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 Reports<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">STEM foundation of Reports<\/h1><p class=\"nx-scene-lede\">The science, technology, engineering and mathematics <a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports\">Reports<\/a> rests on. Each method has a canonical page in the STEM Commons, hosted by the Global Centre for Risk and Innovation (GCRI), and a page here on how it is applied in this field.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/nexus-reports\/stem\/probability-statistics\/\">Open Statistics for evidence synthesis <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-reports\/\">Back to Reports<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"project\" 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 STEM foundation of Reports.<\/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>GCRI<\/strong> \u00b7 Reports \u00b7 Method registry<\/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-reports-method-registry\" data-cx=\"reports.method-registry\" data-variant=\"hero\" aria-label=\"Method registry: illustrative console with example names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Method registry<\/h3><p class=\"nx-fk-sub\">Reports \u00b7 5 methods in use \u00b7 Example interface, not a record<\/p><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Reviews current<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Reports<\/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\">Methods in use<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-reports-method-registry-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-reports-method-registry-t0\" aria-label=\"Methods in use\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Method<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Pages<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Validation<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Last review<\/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-reports-method-registry:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\" aria-current=\"true\" data-cur=\"true\"><td>Probability and statistics<\/td><td data-sv=\"4\">4<\/td><td>Cross-validation<\/td><td>Q2<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Current<\/span><\/td><\/tr><tr data-fk-key=\"cx-reports-method-registry:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Uncertainty quantification<\/td><td data-sv=\"4\">4<\/td><td>Expert review<\/td><td>Q4<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Current<\/span><\/td><\/tr><tr data-fk-key=\"cx-reports-method-registry:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Data engineering<\/td><td data-sv=\"12\">12<\/td><td>Hindcast<\/td><td>Q3<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Review due<\/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\">Selected method<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>Method<\/dt><dd>Probability and statistics<\/dd><\/div><div><dt>Steward<\/dt><dd>Series editor<\/dd><\/div><div><dt>Assumptions<\/dt><dd>stated on its page<\/dd><\/div><div><dt>Limits<\/dt><dd>what it cannot say, published<\/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\">Skill on held-out data<\/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=\"Skill on held-out data\" data-fk-chart=\"cx-reports-method-registry-c2\"><g data-m=\"axes\"><line data-m=\"grid\" x1=\"40\" x2=\"510\" y1=\"180\" y2=\"180\"\/><text data-m=\"tick\" x=\"34\" y=\"183.5\" text-anchor=\"end\">0<\/text><line data-m=\"grid\" x1=\"40\" x2=\"510\" y1=\"98\" y2=\"98\"\/><text data-m=\"tick\" x=\"34\" y=\"101.5\" text-anchor=\"end\">50<\/text><line data-m=\"grid\" x1=\"40\" x2=\"510\" y1=\"16\" y2=\"16\"\/><text data-m=\"tick\" x=\"34\" y=\"19.5\" text-anchor=\"end\">100<\/text><text data-m=\"label\" x=\"40\" y=\"6\" text-anchor=\"start\">score 0 to 1 by method, illustrative<\/text><\/g><line data-m=\"axis\" x1=\"40\" x2=\"510\" y1=\"180\" y2=\"180\"\/><g data-m=\"col\" data-k=\"c-b0\"><rect data-m=\"bar\" data-k=\"b-b0\" data-c=\"neg\" x=\"61.9\" y=\"125.9\" width=\"112.8\" height=\"54.1\"\/><text data-m=\"tick\" x=\"118.3\" y=\"194\" text-anchor=\"middle\">Probability<\/text><rect data-m=\"hit\" x=\"40\" y=\"16\" width=\"156.7\" height=\"164\"\/><\/g><g data-m=\"col\" data-k=\"c-b1\"><rect data-m=\"bar\" data-k=\"b-b1\" data-c=\"neg\" x=\"218.6\" y=\"137.4\" width=\"112.8\" height=\"42.6\"\/><text data-m=\"tick\" x=\"275\" y=\"194\" text-anchor=\"middle\">Uncertainty<\/text><rect data-m=\"hit\" x=\"196.7\" y=\"16\" width=\"156.7\" height=\"164\"\/><\/g><g data-m=\"col\" data-k=\"c-b2\"><rect data-m=\"bar\" data-k=\"b-b2\" data-c=\"s4\" x=\"375.3\" y=\"50.4\" width=\"112.8\" height=\"129.6\"\/><text data-m=\"tick\" x=\"431.7\" y=\"194\" text-anchor=\"middle\">Data<\/text><rect data-m=\"hit\" x=\"353.3\" y=\"16\" width=\"156.7\" height=\"164\"\/><\/g><\/svg><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Method registry.<\/span><span data-honesty=\"true\">Illustrative interface; not live data.<\/span><\/figcaption><\/figure><\/div><\/div><p class=\"nx-caption\"><strong>Reports \u00b7 Method registry.<\/strong> <span>Method registry: example names and illustrative values, not a record.<\/span><\/p><\/div><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-1\" data-hue=\"project\" aria-label=\"Methods, Method mix, Why it matters, Sources\"><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=\"Methods, Method mix, Why it matters, Sources\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-methods\" aria-selected=\"true\" data-key=\"p1\">Methods<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-sec-pg-method-mix\" aria-selected=\"false\" data-key=\"p2\">Method mix<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-sec-why-it-matters\" aria-selected=\"false\" data-key=\"p3\">Why it matters<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-4\" aria-controls=\"nx-sec-pg-sources\" aria-selected=\"false\" data-key=\"p4\">Sources<\/button><\/div><section id=\"nx-sec-methods\" class=\"nx-section nx-band-panel\" data-hue=\"project\" 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\">Methods<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The methods behind the field.<\/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:\/\/therisk.global\/nexus-reports\/stem\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Meta-analysis with heterogeneity stated \u00b7 Small-study and publication bias<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Systems Science and Modelling<\/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\/probability-statistics\/\" aria-label=\"Canonical \u00b7 STEM Commons: Probability and statistics\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/nexus-reports\/stem\/uncertainty-quantification\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Uncertainty quantification and model validation<\/span><span class=\"nx-mledger-role\">Calibrated language in assessments \u00b7 Certainty of evidence ratings<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Systems Science and Modelling<\/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\/uncertainty-quantification\/\" aria-label=\"Canonical \u00b7 STEM Commons: Uncertainty quantification and model validation\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/nexus-reports\/stem\/data-engineering\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Data engineering, interoperability and stewardship<\/span><span class=\"nx-mledger-role\">Structured publishing in JATS XML \u00b7 Persistent identifiers across the record<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Data and Compute<\/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\/technology\/data-engineering\/\" aria-label=\"Canonical \u00b7 STEM Commons: Data engineering, interoperability and stewardship\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-method-mix\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"split\" 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\">Method mix<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Why Reports needs this combination of methods.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Editorial work rests on probability and statistics for figures, uncertainty quantification for how ranges are shown and data engineering for tracing every figure to its source.<\/p><\/div><\/div><\/section><section id=\"nx-sec-why-it-matters\" class=\"nx-section nx-band-panel\" data-hue=\"project\" 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\">Why it matters<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Grounding makes claims checkable.<\/h2><p class=\"nx-lede\">When a finding names the methods it depends on, a reader can see its assumptions and limits, and an expert in that method can challenge it.<\/p><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"split\" 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\">Sources<\/span><\/div><h2 id=\"nx-s-5\" 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\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/publicationethics.org\/core-practices\"><span>COPE core practices (Committee on Publication Ethics)<\/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:\/\/www.icmje.org\/recommendations\/\"><span>ICMJE recommendations on authorship and conflicts of interest<\/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:\/\/www.crossref.org\/services\/crossmark\/\"><span>Crossref Crossmark and retraction metadata<\/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><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-2\" data-tone=\"alt\" data-hue=\"project\" aria-label=\"Reports, 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=\"Reports, Pages, Questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-1\" aria-controls=\"nx-s-6-sec\" aria-selected=\"true\" data-key=\"p1\">Reports<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-2\" aria-controls=\"nx-s-7-sec\" aria-selected=\"false\" data-key=\"p2\">Pages<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-3\" aria-controls=\"nx-s-8-sec\" aria-selected=\"false\" data-key=\"p3\">Questions<\/button><\/div><section id=\"nx-s-6-sec\" class=\"nx-section nx-band-panel\" data-hue=\"project\" 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\">Reports<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">More about Reports.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-cards\" data-cols=\"3\"><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/series\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">All report series<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/global\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Global series<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/countries\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">National series<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/regions\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Regional series<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/technology\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Frontier technology series<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/universe\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Universe annual reports<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/methods\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Methods and publication process<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/editorial\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Editorial governance<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/corrections\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Corrections and supersession<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/trust\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Publication trust<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/about\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Purpose and publisher<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/research\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Supporting methods<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/community\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Contributors and community<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/publications\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Public outputs<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/contact\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Contact and support<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/cycle\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">How work moves in this field<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/foundry\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Build in Foundry<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/reports\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Publish in Reports<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/counterparts\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">The same field across the Consortium<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/topics\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Topics<\/h3><\/a><\/div><\/div><\/div><\/section><section id=\"nx-s-7-sec\" class=\"nx-section nx-band-panel\" data-hue=\"project\" 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\">Pages<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Pages in STEM foundation of Reports.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-cards\" data-cols=\"3\"><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/stem\/probability-statistics\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Statistics for evidence synthesis<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/stem\/uncertainty-quantification\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Uncertainty in published assessments<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/therisk.global\/nexus-reports\/stem\/data-engineering\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Data engineering for publishing<\/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-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\">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>What is a steward platform?<\/summary><div class=\"nx-answer\">The platform that maintains the canonical description of a method and reviews how it is applied across the Consortium.<\/div><\/details><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"project\" 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\">Reports is the Consortium&#8217;s quarterly publication. 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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-therisk-global-nexus-reports-stem-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper-therisk-global-nexus-reports-stem-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper-therisk-global-nexus-reports-stem-h\">Go deeper<\/h2><ul><li><a href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports#how-nexus-reports-works\" data-ext><span class=\"nx-deeper-k\">Documentation:<\/span> Reports<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\/risk-science\/risk-information-standards\/\" data-ext><span class=\"nx-deeper-k\">Academy:<\/span> Risk information standards and interoperability<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\/data\/identification-standards\/\" data-ext><span class=\"nx-deeper-k\">Standards:<\/span> Identification (the UNI)<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-9\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Reports<\/span><h2 id=\"nx-close-9\" 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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