{"id":2392,"date":"2026-10-14T21:45:50","date_gmt":"2026-10-14T21:45:50","guid":{"rendered":"https:\/\/therisk.global\/nexus-reports\/?page_id=2392"},"modified":"2026-10-14T21:45:50","modified_gmt":"2026-10-14T21:45:50","slug":"global-systems-series","status":"publish","type":"page","link":"https:\/\/therisk.global\/nexus-reports\/topics\/global-systems-series\/","title":{"rendered":"Global systems series"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/nexus-reports\/topics\/global-systems-series\/ \u00b7 source authored \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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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n1fqspzj.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=\"editorial\" 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 TOPIC \u00b7 global-systems-series<\/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>Topic dossier \u00b7 Nexus Reports<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Global systems series<\/h1><p class=\"nx-tagline\">Global systems reports try to describe risks that no single discipline owns: climate, food, finance, health and technology acting on each other. Synthesis at that scale is where small weaknesses in the evidence base become large ones, because the report is read as a summary of everything known. This page sets out how global syntheses are built and reviewed, where their evidence is thin or skewed, and how their statements travel into decisions.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/nexus-reports\/contact\/\">Make an enquiry <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\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\" data-variant=\"contents\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>In this dossier<\/strong><\/span><span class=\"nx-eyebrow\">7 parts<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">The short answer<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">Global systems series: how the risk develops<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\">Terms used on this page<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\">What is measured, and how well<\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Canvas<\/span><span class=\"nx-register-v\">From sources to decisions<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\">Where the evidence comes from<\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Decisions<\/span><span class=\"nx-register-v\">Who decides, and what the evidence serves<\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 Established \u00b7 service level R0<\/p><\/div><\/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-sec-field\"><span>02<\/span>Systemic exposure in the contiguous\u2026<\/a><a href=\"#nx-s-4-sec\"><span>03<\/span>Series production desk, in outline<\/a><a href=\"#nx-sec-question\"><span>04<\/span>Global systems series: how the risk\u2026<\/a><a href=\"#nx-sec-terms\"><span>05<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>06<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>07<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>08<\/span>Where the evidence comes from<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"project\" data-variant=\"stack\" 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\">A global risk assessment is a synthesis of evidence on risks that cross disciplines and borders, such as climate, food, finance, health and technology acting on each other. At that scale small weaknesses in the evidence base become large, because the report is read as a summary of everything known; uneven geographic and language coverage is a common one.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" 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\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Systemic exposure in the contiguous United States.<\/h2><p class=\"nx-lede\">Where people and networks concentrate, the exposure through which shocks travel between systems, shown for the contiguous United States 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=\"united-states:risk\" data-ramp=\"red\" data-basis=\"case\" data-focus=\"0 0 2000 1060|709 599 1067 947|303 314 517 681|571 150 830 325\"><figure class=\"nx-fk\" data-fk=\"map-united-states-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\/topics\/global-systems-series\/#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-s-4-sec\" 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\">Console<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Series production desk, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-reports-series\" data-cx=\"reports.series\" data-variant=\"section\" aria-label=\"Series production desk: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Series production desk<\/h3><p class=\"nx-fk-sub\">Global systems series \u00b7 Annual synthesis \u00b7 Edition 5<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Data check behind plan<\/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\">Editions in production<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-reports-series-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-reports-series-t0\" aria-label=\"Editions in production\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Edition<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Series<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Stage<\/button><\/th><th scope=\"col\" data-col=\"c3\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Values traced (%)<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Due<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-reports-series:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\" aria-current=\"true\" data-cur=\"true\"><td>Annual synthesis<\/td><td>Global<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Data check<\/span><\/td><td data-num=\"true\" data-sv=\"89\">89<\/td><td>W38<\/td><\/tr><tr data-fk-key=\"cx-reports-series:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Country profile 7<\/td><td>Country<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Peer review<\/span><\/td><td data-num=\"true\" data-sv=\"98\">98<\/td><td>W18<\/td><\/tr><tr data-fk-key=\"cx-reports-series:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Water outlook<\/td><td>Sectoral<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Drafting<\/span><\/td><td data-num=\"true\" data-sv=\"47\">47<\/td><td>W16<\/td><\/tr><tr data-fk-key=\"cx-reports-series:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Methods note 4<\/td><td>Methods<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Released<\/span><\/td><td data-num=\"true\">100<\/td><td>done<\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"bullets\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Data check, annual synthesis<\/h4><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 98\" width=\"460\" height=\"98\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Data check, annual synthesis\" data-fk-chart=\"bars\"><g data-m=\"row\" data-k=\"r-b0\"><text data-m=\"rlabel\" x=\"124\" y=\"19\" text-anchor=\"end\">Values traced<\/text><rect data-m=\"bar\" data-k=\"b-b0\" data-c=\"neg\" x=\"132\" y=\"4\" width=\"147.1\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b0\" x=\"285.1\" y=\"19\">71 pct \u00b7 req 100<\/text><rect data-m=\"hit\" x=\"0\" y=\"0\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b1\"><text data-m=\"rlabel\" x=\"124\" y=\"49\" text-anchor=\"end\">Labels attached<\/text><rect data-m=\"bar\" data-k=\"b-b1\" data-c=\"neg\" x=\"132\" y=\"34\" width=\"195.7\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b1\" x=\"333.7\" y=\"49\">94 pct \u00b7 req 100<\/text><rect data-m=\"hit\" x=\"0\" y=\"30\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b2\"><text data-m=\"rlabel\" x=\"124\" y=\"79\" text-anchor=\"end\">Uncertainty stated<\/text><rect data-m=\"bar\" data-k=\"b-b2\" data-c=\"neg\" x=\"132\" y=\"64\" width=\"176.1\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b2\" x=\"314.1\" y=\"79\">85 pct \u00b7 req 100<\/text><rect data-m=\"hit\" x=\"0\" y=\"60\" width=\"460\" height=\"30\"\/><\/g><\/svg><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"steps\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Edition pipeline<\/h4><\/div><\/div><ol class=\"nx-cx-steps\" data-n=\"7\"><li data-st=\"done\"><span class=\"nx-cx-sn\">Outline<\/span><span class=\"nx-cx-snote\">board<\/span><\/li><li data-st=\"done\"><span class=\"nx-cx-sn\">Draft<\/span><span class=\"nx-cx-snote\">authors<\/span><\/li><li data-st=\"now\"><span class=\"nx-cx-sn\">Data check<\/span><span class=\"nx-cx-snote\">every value<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Peer review<\/span><span class=\"nx-cx-snote\">two rounds<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Editorial<\/span><span class=\"nx-cx-snote\">decision<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Release<\/span><span class=\"nx-cx-snote\">DOI<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Corrections<\/span><span class=\"nx-cx-snote\">versioned<\/span><\/li><\/ol><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Series production desk: the screen's structure, terms and states for Global systems series.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-question\" 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\">The question<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Global systems series: how the risk develops.<\/h2><p class=\"nx-lede\">Interdependent global system risks. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Uneven evidence base<\/h3><p class=\"nx-p nx-mt-1\">Published literature is concentrated in some regions, languages and disciplines. A synthesis that assesses only what is indexed in English inherits those gaps and can present an absence of evidence as an absence of risk.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><polygon points=\"16.24 7.76 14.12 14.12 7.76 16.24 9.88 9.88 16.24 7.76\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Aggregation hides disagreement<\/h3><p class=\"nx-p nx-mt-1\">Combining findings across fields with different methods and definitions can produce a statement that no single study supports. Calibrated language and traceable accounts keep the level of agreement visible instead of averaging it away.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"4.5\" r=\"2.5\"\/><path d=\"m10.2 6.3-3.9 3.9\"\/><circle cx=\"4.5\" cy=\"12\" r=\"2.5\"\/><path d=\"M7 12h10\"\/><circle cx=\"19.5\" cy=\"12\" r=\"2.5\"\/><path d=\"m13.8 17.7 3.9-3.9\"\/><circle cx=\"12\" cy=\"19.5\" r=\"2.5\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Statements travel without caveats<\/h3><p class=\"nx-p nx-mt-1\">A headline from a summary is quoted in briefings, media and other reports, often without its confidence qualifier or its scope. Each repetition moves the statement further from the evidence behind it.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"16\" y=\"16\" width=\"6\" height=\"6\" rx=\"1\"\/><rect x=\"2\" y=\"16\" width=\"6\" height=\"6\" rx=\"1\"\/><rect x=\"9\" y=\"2\" width=\"6\" height=\"6\" rx=\"1\"\/><path d=\"M5 16v-3a1 1 0 0 1 1-1h12a1 1 0 0 1 1 1v3\"\/><path d=\"M12 12V8\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Errors propagate by citation<\/h3><p class=\"nx-p nx-mt-1\">A flawed or retracted source cited in a global synthesis can be carried into national plans and sector studies that cite the synthesis rather than the source, so a correction upstream may not reach users downstream.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"inset\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-6\" 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\">Confidence<\/td><td data-label=\"Definition\">In IPCC usage, a qualitative judgement of the validity of a finding based on evidence and agreement.<\/td><\/tr><tr><td data-label=\"Term\">Likelihood<\/td><td data-label=\"Definition\">In IPCC usage, a probabilistic statement of an outcome, such as likely for a probability above two in three.<\/td><\/tr><tr><td data-label=\"Term\">Literature cut-off<\/td><td data-label=\"Definition\">The date after which new studies are not assessed in a report.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" 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\">Indicators<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Assessed literature by region of author affiliation<\/td><td data-label=\"Unit\">percent of cited works by region<\/td><td data-label=\"Cadence\">per report<\/td><td data-label=\"Source type\">Bibliographic metadata matched to institution registry<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Assessed literature by language of publication<\/td><td data-label=\"Unit\">percent of cited works by language<\/td><td data-label=\"Cadence\">per report<\/td><td data-label=\"Source type\">Reference list metadata<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Key statements carrying calibrated confidence or likelihood<\/td><td data-label=\"Unit\">percent of summary statements<\/td><td data-label=\"Cadence\">per report<\/td><td data-label=\"Source type\">Editorial audit of the summary<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Review comments received and answered<\/td><td data-label=\"Unit\">count received; percent with recorded response<\/td><td data-label=\"Cadence\">per review round<\/td><td data-label=\"Source type\">Review comment log<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Literature cut-off to publication interval<\/td><td data-label=\"Unit\">months<\/td><td data-label=\"Cadence\">per report<\/td><td data-label=\"Source type\">Report front matter<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Cited works with a persistent identifier<\/td><td data-label=\"Unit\">percent of references<\/td><td data-label=\"Cadence\">per version<\/td><td data-label=\"Source type\">Reference metadata<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Cited works later retracted or flagged<\/td><td data-label=\"Unit\">count per report<\/td><td data-label=\"Cadence\">quarterly<\/td><td data-label=\"Source type\">Retraction records matched to references<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G11\/topics\/global-systems-series\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" 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\">Canvas<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Global systems series as a run graph<\/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-topics-global-systems-series-edition-t nx-dag-g11-topics-global-systems-series-edition-d\" 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id=\"nx-dag-g11-topics-global-systems-series-edition-t\">Global systems series: an edition from outline to correction<\/title><desc id=\"nx-dag-g11-topics-global-systems-series-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. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" 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 the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">IPCC report archive and review records<\/td><td data-label=\"What it gives\">Assessment reports, summaries for policymakers, expert and government review comments with author responses<\/td><td data-label=\"Licence class\">Free to read, IPCC copyright, reuse terms per IPCC<\/td><\/tr><tr><td data-label=\"Source\">IPBES assessment archive<\/td><td data-label=\"What it gives\">Global and regional biodiversity assessments, summaries and review documentation<\/td><td data-label=\"Licence class\">Free to read, reuse terms per IPBES<\/td><\/tr><tr><td data-label=\"Source\">UNDRR Global Assessment Report archive<\/td><td data-label=\"What it gives\">Global assessments of disaster and systemic risk<\/td><td data-label=\"Licence class\">Free to read, United Nations terms<\/td><\/tr><tr><td data-label=\"Source\">OpenAlex<\/td><td data-label=\"What it gives\">Works, authors, institutions, languages and citation links across disciplines<\/td><td data-label=\"Licence class\">CC0<\/td><\/tr><tr><td data-label=\"Source\">Crossref metadata<\/td><td data-label=\"What it gives\">DOIs, references, funding and update notices for scholarly works<\/td><td data-label=\"Licence class\">Open metadata, no reuse restrictions<\/td><\/tr><tr><td data-label=\"Source\">Retraction Watch Database via Crossref<\/td><td data-label=\"What it gives\">Retractions, expressions of concern and corrections with reasons<\/td><td data-label=\"Licence class\">Openly available through Crossref, attribution requested<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G11\/topics\/global-systems-series\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"inset\" 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\">Decisions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Nexus Reports prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Ministries of foreign affairs, finance and environment<\/td><td data-label=\"The question\">Which global risks warrant national attention, joint action or negotiation positions<\/td><td data-label=\"Evidence this page serves\">Summary statements with calibrated confidence, the scope of each and its evidence gaps<\/td><\/tr><tr><td data-label=\"Who decides\">Intergovernmental assessment bodies and their working groups<\/td><td data-label=\"The question\">Where a later assessment should focus or where the literature is too thin to assess<\/td><td data-label=\"Evidence this page serves\">Coverage profiles by region, language and discipline<\/td><\/tr><tr><td data-label=\"Who decides\">Research funders<\/td><td data-label=\"The question\">Which gaps in the evidence base justify new calls or data collection<\/td><td data-label=\"Evidence this page serves\">Mapped gaps where confidence is low because evidence is limited rather than because it disagrees<\/td><\/tr><tr><td data-label=\"Who decides\">Report editors and review editors<\/td><td data-label=\"The question\">Whether every comment has been answered and every key statement can be traced<\/td><td data-label=\"Evidence this page serves\">Comment logs, traceable accounts and reference integrity checks<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Traceable accounts linking each summary statement to its assessed sources and confidence<\/li><li>Coverage profiles of the evidence by region, language and discipline<\/li><li>Review comment logs with responses, published after approval<\/li><li>Versioned reports with correction notices linked to dependent statements<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" 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\">Core questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">What the series asks.<\/h2><p class=\"nx-lede\">Global risks rarely respect the boundaries of disciplines or ministries. A heatwave strains power grids, cuts crop yields, raises mortality and moves commodity prices at once. Studying such risks one sector at a time misses the connections through which they amplify. The series exists to describe those connections with evidence and to say plainly where knowledge runs out.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"columns\"><ul class=\"nx-list\"><li>Which global systems are most tightly coupled, and through which flows of goods, energy, data, money or people?<\/li><li>Where could a disruption in one system spread to others, and what buffers slow or stop it?<\/li><li>Which slow-moving trends, such as climate change, demographic shifts or technology adoption, change the structure of those couplings?<\/li><li>What do we not know, and how would a reader recognize that a finding has become outdated?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-scope\" class=\"nx-section\" data-hue=\"project\" data-variant=\"stack\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Scope<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">What the series covers.<\/h2><p class=\"nx-lede\">Three series share the global view, each with a different time horizon.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"3\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M21.54 15H17a2 2 0 0 0-2 2v4.54\"\/><path d=\"M7 3.34V5a3 3 0 0 0 3 3v0a2 2 0 0 1 2 2v0c0 1.1.9 2 2 2v0a2 2 0 0 0 2-2v0c0-1.1.9-2 2-2h3.17\"\/><path d=\"M11 21.95V18a2 2 0 0 0-2-2v0a2 2 0 0 1-2-2v-1a2 2 0 0 0-2-2H2.05\"\/><circle cx=\"12\" cy=\"12\" r=\"10\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Systems<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Global Systems Risk and Resilience<\/h3><p class=\"nx-p nx-mt-1\">Annual analysis of interdependent global system risks and the resilience of the systems that carry them.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"16\" y=\"16\" width=\"6\" height=\"6\" rx=\"1\"\/><rect x=\"2\" y=\"16\" width=\"6\" height=\"6\" rx=\"1\"\/><rect x=\"9\" y=\"2\" width=\"6\" height=\"6\" rx=\"1\"\/><path d=\"M5 16v-3a1 1 0 0 1 1-1h12a1 1 0 0 1 1 1v3\"\/><path d=\"M12 12V8\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Strategy<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Strategic Systems<\/h3><p class=\"nx-p nx-mt-1\">Systems whose failure would have strategic consequences, such as critical infrastructure, digital networks and supply chains.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m10.065 12.493-6.18 1.318a.934.934 0 0 1-1.108-.702l-.537-2.15a1.07 1.07 0 0 1 .691-1.265l13.504-4.44\"\/><path d=\"m13.56 11.75 4.33-.92\"\/><path d=\"m16 21-3.1-6.21\"\/><path d=\"M16.485 5.94a2 2 0 0 1 1.455-2.425l1.09-.272a1 1 0 0 1 1.212.727l1.515 6.06a1 1 0 0 1-.727 1.213l-1.09.272a2 2 0 0 1-2.425-1.455z\"\/><path d=\"m6.16 8.63 1.11 4.46\"\/><path d=\"m8 21 3.11-6.21\"\/><circle cx=\"12\" cy=\"13\" r=\"2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Horizon<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Foresight Outlook<\/h3><p class=\"nx-p nx-mt-1\">Long-horizon outlooks and horizon scans, labelled as foresight and never as prediction.<\/p><\/div><\/div><p class=\"nx-p\">Research on systemic risk has shown that tightly coupled systems with little slack can turn a local failure into a widespread one, and that the same efficiency that lowers costs in normal times can remove the buffers needed in a crisis. The series looks for these patterns: shared dependencies, concentration, synchronized shocks and feedback loops. It also looks for the opposite, the redundancy, diversity and institutional capacity that let systems absorb shocks and recover.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-evidence\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and evidence<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">How editions are built, and their limits.<\/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\">Systems mapping<\/h3><p class=\"nx-p nx-mt-1\">Dependency maps and network analysis identify couplings. They depend on data that are often incomplete for private and informal flows.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Statistical evidence<\/h3><p class=\"nx-p nx-mt-1\">Trend and correlation analysis, built on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/probability-statistics\/\">probability and statistics<\/a>, describes what has happened. Past relationships may not hold under new conditions.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Models and scenarios<\/h3><p class=\"nx-p nx-mt-1\">Coupled models and scenarios explore what could happen. Each carries stated assumptions and uncertainty assessed with <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/uncertainty-quantification\/\">uncertainty quantification and model validation<\/a>.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Expert judgement<\/h3><p class=\"nx-p nx-mt-1\">Structured elicitation fills gaps where data are absent. It is labelled as expert judgement and its panel and process are described.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/nexus-reports\/stem\/uncertainty-quantification\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/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><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\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/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><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\/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><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><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">A global synthesis can only assess literature that exists and can be found; indexed literature underrepresents many regions, languages and kinds of knowledge, including Indigenous and local knowledge. Calibrated confidence expresses expert judgement about evidence and agreement, not a probability that the statement is true. Interdependencies between systems are often argued from case studies rather than measured. Nexus Reports does not set policy or rank risks for any government; the bodies that use a synthesis decide what weight to give it.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-15\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-15\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What is the difference between confidence and likelihood?<\/summary><div class=\"nx-answer\">Under the IPCC guidance, confidence is a qualitative judgement of the type, amount, quality and consistency of evidence and the degree of agreement. Likelihood is a probabilistic statement about an outcome, used only where evidence allows it to be quantified.<\/div><\/details><details><summary>Why does a global synthesis need review by governments?<\/summary><div class=\"nx-answer\">In intergovernmental assessments, government review checks that summaries are clear and policy-relevant without being policy-prescriptive. The underlying assessment remains the responsibility of the authors and must stay consistent with it.<\/div><\/details><details><summary>What happens when a cited source is retracted?<\/summary><div class=\"nx-answer\">The editors check whether any statement depends on it, record the result, and issue a correction or a note to the version history if a statement changes. A retraction does not by itself change a conclusion supported by other evidence.<\/div><\/details><details><summary>Does Nexus Reports rank global risks?<\/summary><div class=\"nx-answer\">No. Ranking depends on values and on the question being asked. The series describes evidence, interdependencies and uncertainty; those who hold the decision decide the ranking.<\/div><\/details><details><summary>Does the series rank global risks?<\/summary><div class=\"nx-answer\">No. It describes risks, their connections and the evidence behind each claim. It does not publish league tables or use third-party index names.<\/div><\/details><details><summary>How is foresight distinguished from forecasting?<\/summary><div class=\"nx-answer\">Foresight editions explore plausible futures to test assumptions; they are labelled Scenario or Expert judgement. Forecasts, where any appear, are labelled Forecast and carry their method and uncertainty.<\/div><\/details><details><summary>Who reviews a global systems edition?<\/summary><div class=\"nx-answer\">Specialists in each system covered, plus technical reviewers for data and models and an editor for sourcing and disclosures, under the three kinds of review.<\/div><\/details><details><summary>How often are editions released?<\/summary><div class=\"nx-answer\">Each series states its intended cadence on its own page. An edition appears only when it is released; a planned edition is not listed as published.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-16\" 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\/topics\/country-and-regional-series\/\">Country and regional 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 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-reports\/topics\/sectoral-series\/\">Sectoral 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 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-reports\/topics\/frontier-technology-series\/\">Frontier technology 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 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-reports\/topics\/scenarios-and-methods\/\">Scenarios and methods <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\/nexus-reports\/topics\/labs-and-foundry-series\/\">Labs and foundry 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 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-reports\/topics\/universe-annual-synthesis\/\">Nexus Universe annual 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 href=\"https:\/\/therisk.global\/nexus-reports\/\">Nexus Reports 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\/nexus-reports\/counterparts\/\">Counterparts across the Consortium <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\/\">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-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Nexus Reports<\/span><h2 id=\"nx-close-17\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. 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