{"id":2364,"date":"2026-10-14T21:35:36","date_gmt":"2026-10-14T21:35:36","guid":{"rendered":"https:\/\/therisk.global\/nexus-reports\/?page_id=2364"},"modified":"2026-10-14T21:35:36","modified_gmt":"2026-10-14T21:35:36","slug":"stem","status":"publish","type":"page","link":"https:\/\/therisk.global\/nexus-reports\/stem\/","title":{"rendered":"STEM foundation of Nexus Reports"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/nexus-reports\/stem\/ \u00b7 source template \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" 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auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-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-hero\" data-layout=\"split\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G11 \u00b7 METHODS \u00b7 stem<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Nexus Reports<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Established<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>STEM foundation<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">STEM foundation of Nexus Reports<\/h1><p class=\"nx-tagline\">The science, technology, engineering and mathematics Nexus Reports rests on. Each method has a canonical page in the STEM Commons, hosted by 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\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/nexus-reports\/\">Back to Nexus Reports<\/a><\/div><dl class=\"nx-facts\"><div><dt class=\"nx-eyebrow\">Publisher<\/dt><dd>The Global Centre for Risk and Innovation<\/dd><\/div><div><dt class=\"nx-eyebrow\">Field<\/dt><dd>Research and evidence<\/dd><\/div><div><dt class=\"nx-eyebrow\">Status<\/dt><dd>Established<\/dd><\/div><div><dt class=\"nx-eyebrow\">Service level<\/dt><dd>R0: information and enquiries<\/dd><\/div><\/dl><\/div><div data-lv-fill=\"console\" data-lv-id=\"report\"><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 Nexus 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 placeholder 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<\/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 Nexus 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\u2026<\/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,\u2026<\/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\u2026<\/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\u2026<\/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\u2026<\/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><\/figure><\/div><\/div><p class=\"nx-caption\"><strong>Nexus Reports \u00b7 Method registry<\/strong><span>Method registry, in outline: domain structure with placeholder names and illustrative values, not a record.<\/span><\/p><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-s-3-sec\"><span>02<\/span>Methods feeding this platform<\/a><a href=\"#nx-sec-field\"><span>03<\/span>Systemic exposure in East Africa<\/a><a href=\"#nx-sec-methods\"><span>04<\/span>The methods behind the field<\/a><a href=\"#nx-sec-pg-method-mix\"><span>05<\/span>Why Nexus Reports needs this\u2026<\/a><a href=\"#nx-sec-why-it-matters\"><span>06<\/span>Grounding makes claims checkable<\/a><a href=\"#nx-sec-terms\"><span>07<\/span>Terms used on this page<\/a><a href=\"#nx-sec-pg-sources\"><span>08<\/span>Where this page's references lead<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">The Nexus Reports STEM foundation is the set of canonical methods its findings depend on, from probability and statistics to data engineering, interoperability and stewardship. Each method has a canonical STEM Commons page and a page here on its use in the research and evidence field.<\/p><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"search\" data-nxf-kind=\"search\" data-nxf-resource=\"nexus:\/\/gcri\/G11\/stem\/#search\" data-nxf-title=\"Search the STEM Commons\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Methods feeding this platform.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Canvas<\/strong> \u00b7 methods feeding this platform<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g11-stem-edition-t nx-dag-g11-stem-edition-d\" 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id=\"nx-dag-g11-stem-edition-t\">STEM foundation of Nexus Reports: an edition from outline to correction<\/title><desc id=\"nx-dag-g11-stem-edition-d\">An outline is agreed; chapters are drafted; every value is traced in the data check; peer reviewers with declared conflicts review; the editor decides; the edition is released with an identifier and corrected only by new versions. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig.<\/strong><span>The methods this platform draws on and what each one feeds. Design, not a record.<\/span><\/p><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Systemic exposure in East Africa.<\/h2><p class=\"nx-lede\">Where people and networks concentrate, the exposure through which shocks travel between systems, shown for East Africa as an example geography for this subject.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-map nx-cmap\" data-nx-map=\"ctx\" data-cmap=\"east-africa:risk\" data-ramp=\"red\" data-basis=\"case\" data-focus=\"0 0 2000 1400|581 513 1397 1307|918 68 1509 786|597 128 1000 549|556 611 692 771\"><figure class=\"nx-fk\" data-fk=\"map-east-africa-risk\" data-ramp=\"red\" 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\"><figcaption class=\"nx-fk-cap\"><span>Where people and networks concentrate, the exposure through which shocks travel between systems.<\/span><span data-honesty=\"true\">Indicator derived from Natural Earth at map scale; a screening view, not an assessment.<\/span><\/figcaption><\/figure><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G11\/stem\/#map\" data-nxf-title=\"Nexus Reports live map\" data-nxf-height=\"560\" hidden><\/div><div class=\"nx-map-hud\"><span class=\"nx-eyebrow\">GCRI \u00b7 Nexus Reports \u00b7 field<\/span><span class=\"nx-eyebrow nx-map-hud-right\">DESIGN FIGURE<\/span><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-5\" 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\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/probability-statistics\/\" aria-label=\"Probability and statistics: canonical page on the STEM Commons\">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\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/uncertainty-quantification\/\" aria-label=\"Uncertainty quantification and model validation: canonical page on the STEM Commons\">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\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/data-engineering\/\" aria-label=\"Data engineering, interoperability and stewardship: canonical page on the STEM Commons\">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\" data-hue=\"project\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Method mix<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Why Nexus 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\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Why it matters<\/span><\/div><h2 id=\"nx-s-7\" 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-terms\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">STEM Commons<\/td><td data-label=\"Definition\">The shared reference of science, technology, engineering and mathematics methods for the Nexus network, hosted by GCRI, with one canonical page per method and a named steward platform.<\/td><\/tr><tr><td data-label=\"Term\">Steward platform<\/td><td data-label=\"Definition\">The platform that maintains the canonical description of a method in the STEM Commons and reviews how other platforms apply it.<\/td><\/tr><tr><td data-label=\"Term\">Probability and statistics<\/td><td data-label=\"Definition\">Probability and statistics provide the mathematical framework for describing uncertainty and learning from data.<\/td><\/tr><tr><td data-label=\"Term\">Uncertainty quantification and model validation<\/td><td data-label=\"Definition\">Uncertainty quantification and model validation characterise how uncertainty in inputs, parameters and model structure affects predictions.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Where this page'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\" target=\"_blank\" rel=\"noopener\"><span>COPE core practices (Committee on Publication Ethics)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.icmje.org\/recommendations\/\" target=\"_blank\" rel=\"noopener\"><span>ICMJE recommendations on authorship and conflicts of interest<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.crossref.org\/services\/crossmark\/\" target=\"_blank\" rel=\"noopener\"><span>Crossref Crossmark and retraction metadata<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-10-sec\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Pages<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Pages in STEM foundation of Nexus 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-11-sec\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">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 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><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-12\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-12\" class=\"nx-h3 nx-mt-2\">Around Nexus Reports.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/nexus-reports\/series\/\">All report series <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 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aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-13\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Nexus Reports<\/span><h2 id=\"nx-close-13\" class=\"nx-section-title\">Bring 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An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Nexus%20Reports%3A%20STEM%20foundation%20of%20Nexus%20Reports\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/nexus-reports\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/nexus-reports\/stem\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/nexus-reports\/stem\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is a steward platform?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The platform that maintains the canonical description of a method and reviews how it is applied across the Consortium.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/therisk.global\/nexus-reports\/stem\/#terms\",\"name\":\"Key terms: STEM foundation of Nexus Reports\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/nexus-reports\/stem\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"STEM Commons\",\"description\":\"The shared reference of science, technology, engineering and mathematics methods for the Nexus network, hosted by GCRI, with one canonical page per method and a named steward platform.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/nexus-reports\/stem\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Steward platform\",\"description\":\"The platform that maintains the canonical description of a method in the STEM Commons and reviews how other platforms apply it.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/nexus-reports\/stem\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Probability and statistics\",\"description\":\"Probability and statistics provide the mathematical framework for describing uncertainty and learning from data.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/nexus-reports\/stem\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Uncertainty quantification and model validation\",\"description\":\"Uncertainty quantification and model validation characterise how uncertainty in inputs, parameters and model structure affects predictions.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/nexus-reports\/stem\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:b72a033f0f1cbf66 -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto G11 \u00b7 METHODS \u00b7 stemGCRI dossier \u00b7 service level R0 GCRI\u00b7Nexus Reports\u00b7Established STEM foundation STEM foundation of Nexus Reports The science, technology, engineering and mathematics Nexus Reports rests on. &hellip; 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