{"id":79,"date":"2026-10-17T11:11:11","date_gmt":"2026-10-17T11:11:11","guid":{"rendered":"https:\/\/therisk.global\/future-work-skills\/?page_id=79"},"modified":"2026-10-21T13:44:53","modified_gmt":"2026-10-21T13:44:53","slug":"lifelong-learning","status":"publish","type":"page","link":"https:\/\/therisk.global\/future-work-skills\/topics\/lifelong-learning\/","title":{"rendered":"Lifelong learning"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/future-work-skills\/topics\/lifelong-learning\/ \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-ncnztvqq.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=\"dag\" 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>G-P17 \u00b7 TOPIC \u00b7 lifelong-learning<\/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\">Future of Work and Skills<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Future of Work and Skills<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Lifelong learning<\/h1><p class=\"nx-tagline\">As work changes, people need to learn throughout their working lives, not only at the start. Yet participation in adult learning is lowest among those who need it most: lower-skilled workers, older workers and those in small firms. This page sets out how lifelong learning systems work, who they reach, how participation and outcomes are measured, and what evidence serves the governments, employers and training providers involved.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/future-work-skills\/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\/future-work-skills\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-canvas\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Systems<\/strong> \u00b7 around this subject<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-work-exposure\" data-cx=\"work.exposure\" data-variant=\"section\" aria-label=\"Skills and exposure console: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Skills and exposure console<\/h3><p class=\"nx-fk-sub\">Lifelong learning \u00b7 Labour market A \u00b7 Year 2<\/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>Gap in data roles<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Future of Work and Skills<\/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\">Occupations by exposure<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-work-exposure-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-work-exposure-t0\" aria-label=\"Occupations by exposure\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Occupation group<\/button><\/th><th scope=\"col\" data-col=\"c1\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Workers<\/button><\/th><th scope=\"col\" data-col=\"c2\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Task exposure<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Complement or substitute<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Pathway<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-work-exposure:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Clerical support<\/td><td data-num=\"true\" data-sv=\"86766\">86,766<\/td><td data-num=\"true\" data-sv=\"0.7\">0.7<\/td><td>Substitute<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Data operations<\/span><\/td><\/tr><tr data-fk-key=\"cx-work-exposure:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Machine operators<\/td><td data-num=\"true\" data-sv=\"47032\">47,032<\/td><td data-num=\"true\" data-sv=\"0.4\">0.4<\/td><td>Mixed<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Robot maintenance<\/span><\/td><\/tr><tr data-fk-key=\"cx-work-exposure:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Care workers<\/td><td data-num=\"true\" data-sv=\"19455\">19,455<\/td><td data-num=\"true\" data-sv=\"0.1\">0.1<\/td><td>Complement<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Upskill<\/span><\/td><\/tr><tr data-fk-key=\"cx-work-exposure:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Analysts<\/td><td data-num=\"true\" data-sv=\"27329\">27,329<\/td><td data-num=\"true\" data-sv=\"0.4\">0.4<\/td><td>Complement<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Upskill<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Vacancies by skill<\/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=\"Vacancies by skill\" data-fk-chart=\"cx-work-exposure-c1\"><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\">vacancies per 100 jobseekers<\/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=\"s4\" x=\"53.2\" y=\"57\" width=\"67.7\" height=\"123\"\/><text data-m=\"tick\" x=\"87\" y=\"194\" text-anchor=\"middle\">Data<\/text><rect data-m=\"hit\" x=\"40\" y=\"16\" width=\"94\" height=\"164\"\/><\/g><g data-m=\"col\" data-k=\"c-b1\"><rect data-m=\"bar\" data-k=\"b-b1\" data-c=\"s4\" x=\"147.2\" y=\"78.3\" width=\"67.7\" height=\"101.7\"\/><text data-m=\"tick\" x=\"181\" y=\"194\" text-anchor=\"middle\">Care<\/text><rect data-m=\"hit\" x=\"134\" y=\"16\" width=\"94\" height=\"164\"\/><\/g><g data-m=\"col\" data-k=\"c-b2\"><rect data-m=\"bar\" data-k=\"b-b2\" data-c=\"s4\" x=\"241.2\" y=\"94.7\" width=\"67.7\" height=\"85.3\"\/><text data-m=\"tick\" x=\"275\" y=\"194\" text-anchor=\"middle\">Trades<\/text><rect data-m=\"hit\" x=\"228\" y=\"16\" width=\"94\" height=\"164\"\/><\/g><g data-m=\"col\" data-k=\"c-b3\"><rect data-m=\"bar\" data-k=\"b-b3\" data-c=\"s4\" x=\"335.2\" y=\"143.9\" width=\"67.7\" height=\"36.1\"\/><text data-m=\"tick\" x=\"369\" y=\"194\" text-anchor=\"middle\">Green<\/text><rect data-m=\"hit\" x=\"322\" y=\"16\" width=\"94\" height=\"164\"\/><\/g><g data-m=\"col\" data-k=\"c-b4\"><rect data-m=\"bar\" data-k=\"b-b4\" data-c=\"s4\" x=\"429.2\" y=\"116\" width=\"67.7\" height=\"64\"\/><text data-m=\"tick\" x=\"463\" y=\"194\" text-anchor=\"middle\">Admin<\/text><rect data-m=\"hit\" x=\"416\" y=\"16\" width=\"94\" height=\"164\"\/><\/g><\/svg><\/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\">Reskilling pathway<\/h4><\/div><\/div><ol class=\"nx-cx-steps\" data-n=\"5\"><li data-st=\"done\"><span class=\"nx-cx-sn\">Assess<\/span><span class=\"nx-cx-snote\">skills profile<\/span><\/li><li data-st=\"done\"><span class=\"nx-cx-sn\">Match<\/span><span class=\"nx-cx-snote\">target role<\/span><\/li><li data-st=\"now\"><span class=\"nx-cx-sn\">Train<\/span><span class=\"nx-cx-snote\"><span class=\"nx-cx-n\">20<\/span> weeks<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Place<\/span><span class=\"nx-cx-snote\">employer<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Follow up<\/span><span class=\"nx-cx-snote\">6 months<\/span><\/li><\/ol><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Skills and exposure console: the screen's structure, terms and states for Lifelong learning.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><p class=\"nx-caption\"><strong>Fig.<\/strong><span>Skills and exposure console. Design wireframe with placeholder names and illustrative values, not a record or a live system.<\/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-sec-field\"><span>02<\/span>People and exposure in Southeast Asia<\/a><a href=\"#nx-sec-question\"><span>03<\/span>Lifelong learning: how the risk\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>05<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>06<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>07<\/span>Where the evidence comes from<\/a><a href=\"#nx-sec-decisions\"><span>08<\/span>Who decides, and what the evidence\u2026<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"social\" 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\">Lifelong learning is learning throughout life in formal, non-formal and informal settings to keep skills current as work changes. Participation is lowest among those who need it most, time and cost are barriers, recognition makes learning count, and training funds and agreements widen access.<\/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\">People and exposure in Southeast Asia.<\/h2><p class=\"nx-lede\">Population density, night-time lights, air quality, heat and floods, framed on Southeast Asia; each layer is a dated NASA product.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"southeast-asia:social\"><div class=\"nx-wm\" data-nx-water=\"ctx-social\" data-wm-domain=\"ctx-social\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"92,-11,141,24\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"People and exposure, Southeast Asia: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"no2||||\" aria-pressed=\"false\">Air quality<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"lstd||||\" aria-pressed=\"false\">Heat<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"flood,people||||\" aria-pressed=\"false\">Floods<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">2<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">People and exposure<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-name=\"Population density, 2020\" data-wm-short=\"Population density\" data-wm-src=\"NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-name=\"Night-time lights, daily\" data-wm-short=\"Night lights\" data-wm-src=\"NASA LAADS DAAC VIIRS Black Marble (VNP46A2)\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"no2\" aria-pressed=\"false\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-name=\"Nitrogen dioxide, lower atmosphere column\" data-wm-short=\"Nitrogen dioxide\" data-wm-src=\"NASA GES DISC OMI Aura\" data-wm-prov=\"NASA GES DISC\" data-wm-kind=\"Satellite retrieval; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Nitrogen dioxide, lower atmosphere column<\/span><span class=\"nx-wm-layer-src\">NASA GES DISC OMI Aura \u00b7 <span data-wm-date=\"no2\">10 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"no2\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"lstd\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-name=\"Land surface temperature, day, 8-day composite\" data-wm-short=\"Land temperature, day\" data-wm-src=\"NASA LANCE VIIRS NOAA-20 Level 3, 8-day\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite 8-day composite; persistent cloud still leaves gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land surface temperature, day, 8-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 Level 3, 8-day \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"lstd\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"flood\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-name=\"Flood water, 3-day composite\" data-wm-short=\"Flood water\" data-wm-src=\"NASA LANCE VIIRS Global Flood Product\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite detection; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Flood water, 3-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS Global Flood Product \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"flood\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"tools\" aria-controls=\"nx-wm-menu\" aria-expanded=\"false\" aria-label=\"Expert tools\" title=\"Expert tools\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 4.5l10 0m-10 3.5 10 0m-10 3.5 10 0m-7.5-8.5 0 3m5 .5 0 3m-3.5.5 0 3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><span class=\"nx-wm-sep\" aria-hidden=\"true\"><\/span><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"in\" aria-label=\"Zoom in\" title=\"Zoom in\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 3v10M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"out\" aria-label=\"Zoom out\" title=\"Zoom out\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"reset\" aria-label=\"Reset the view\" title=\"Reset the view\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.2 8a4.8 4.8 0 1 0 1.5-3.5M3.2 2.6v2.6h2.6\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><div><dt><kbd>Arrows<\/kbd><\/dt><dd>Move<\/dd><\/div><div><dt><kbd>Shift and arrows<\/kbd><\/dt><dd>Turn and tilt (3D)<\/dd><\/div><div><dt><kbd>+ and \u2212<\/kbd><\/dt><dd>Zoom<\/dd><\/div><div><dt><kbd>0<\/kbd><\/dt><dd>Reset the view<\/dd><\/div><div><dt><kbd>N and P<\/kbd><\/dt><dd>Next and previous station<\/dd><\/div><div><dt><kbd>Enter<\/kbd><\/dt><dd>Pin the station<\/dd><\/div><div><dt><kbd>I<\/kbd><\/dt><dd>Inspect a point<\/dd><\/div><div><dt><kbd>M<\/kbd><\/dt><dd>Measure<\/dd><\/div><div><dt><kbd>C<\/kbd><\/dt><dd>Compare dates<\/dd><\/div><div><dt><kbd>Escape<\/kbd><\/dt><dd>Close<\/dd><\/div><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>Population density, night-time lights, air quality, heat and floods, framed on Southeast Asia.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Natural Earth<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gesdisc.aura-omi-omps\">OMI nitrogen dioxide (Aura) and OMPS aerosol index (Suomi NPP), NASA; distributed by the NASA GES DISC; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>Nitrogen dioxide, lower atmosphere column: OMI Aura, NASA GES DISC \u00b7 <span data-wm-date=\"no2\">10 Oct 2026<\/span><\/li><li>Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/li><li>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G-P17\/topics\/lifelong-learning\/#map\" data-nxf-title=\"Future of Work and Skills live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"social\" data-variant=\"stack\" 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\">The question<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Lifelong learning: how the risk develops.<\/h2><p class=\"nx-lede\">Mid-career transitions and skill maintenance. 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=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\/><circle cx=\"9\" cy=\"7\" r=\"4\"\/><path d=\"M22 21v-2a4 4 0 0 0-3-3.87\"\/><path d=\"M16 3.13a4 4 0 0 1 0 7.75\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Those who need it least get most<\/h3><p class=\"nx-p nx-mt-1\">Highly educated workers in large firms receive most training, while lower-skilled and older workers, and those in small firms, receive least.<\/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=\"M5 22h14\"\/><path d=\"M5 2h14\"\/><path d=\"M17 22v-4.172a2 2 0 0 0-.586-1.414L12 12l-4.414 4.414A2 2 0 0 0 7 17.828V22\"\/><path d=\"M7 2v4.172a2 2 0 0 0 .586 1.414L12 12l4.414-4.414A2 2 0 0 0 17 6.172V2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Time and money are barriers<\/h3><p class=\"nx-p nx-mt-1\">Adults face costs, lost earnings, caring duties and lack of time, which keep them from training.<\/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=\"M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z\"\/><path d=\"m9 12 2 2 4-4\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Recognition makes learning count<\/h3><p class=\"nx-p nx-mt-1\">Learning is more valuable when it leads to recognised qualifications or credentials that employers trust.<\/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=\"m11 17 2 2a1 1 0 1 0 3-3\"\/><path d=\"m14 14 2.5 2.5a1 1 0 1 0 3-3l-3.88-3.88a3 3 0 0 0-4.24 0l-.88.88a1 1 0 1 1-3-3l2.81-2.81a5.79 5.79 0 0 1 7.06-.87l.47.28a2 2 0 0 0 1.42.25L21 4\"\/><path d=\"m21 3 1 11h-2\"\/><path d=\"M3 3 2 14l6.5 6.5a1 1 0 1 0 3-3\"\/><path d=\"M3 4h8\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Employers and unions shape access<\/h3><p class=\"nx-p nx-mt-1\">Training funds, paid learning leave and collective agreements expand access to learning where they exist and are used.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-5\" 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\">Adult learning<\/td><td data-label=\"Definition\">Education and training undertaken by adults after they have left initial education.<\/td><\/tr><tr><td data-label=\"Term\">Recognition of prior learning<\/td><td data-label=\"Definition\">Assessing and certifying skills that people have gained outside formal education, such as at work.<\/td><\/tr><tr><td data-label=\"Term\">Micro-credential<\/td><td data-label=\"Definition\">A record of learning outcomes from a short, assessed course of study.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"social\" data-variant=\"stack\" 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\">Indicators<\/span><\/div><h2 id=\"nx-s-6\" 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\">Adult participation in learning<\/td><td data-label=\"Unit\">percent of adults in the last twelve months<\/td><td data-label=\"Cadence\">per survey<\/td><td data-label=\"Source type\">Adult education surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Participation gap by skill level<\/td><td data-label=\"Unit\">percentage point difference<\/td><td data-label=\"Cadence\">per survey<\/td><td data-label=\"Source type\">Adult education surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Adult literacy and numeracy proficiency<\/td><td data-label=\"Unit\">score<\/td><td data-label=\"Cadence\">per assessment<\/td><td data-label=\"Source type\">Adult skills surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Public spending on adult learning<\/td><td data-label=\"Unit\">percent of GDP<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Budget data<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Workers with paid training leave rights<\/td><td data-label=\"Unit\">percent of employees<\/td><td data-label=\"Cadence\">per assessment<\/td><td data-label=\"Source type\">Labour law and agreements<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Micro-credentials recognised in qualification frameworks<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">per assessment<\/td><td data-label=\"Source type\">Qualification authority records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G-P17\/topics\/lifelong-learning\/#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-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\">Canvas<\/span><\/div><h2 id=\"nx-s-7\" 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 Lifelong learning 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-g-p17-topics-lifelong-learning-skills-t nx-dag-g-p17-topics-lifelong-learning-skills-d\" data-nx-z=\"zVzJcuPIEf2VCvgyExYo1IItotkRtER3M0ZNtiVqxn0sgSUSIRCgAVBLn3z02R\/hX\/DdnzJf4qgFIMANBYJq+9Ai2CSyMrMyHzJfVfHDjD1mHz+saJ6zNAbhrG\/Er+aMzs25uYKumSerMMjMKHxkURLPzYjRNA7juZk9hVGUmbMkzwzwEs7yRd+AjgEWLJwvcnmtpN7HYZ71jXXG0rsVDdgkvs+Y8fFDEKZBxEAQ0Yx\/zGU9hiyaGSB47RueAYI38ZL2DavnGpcfP1wqiR8\/LGn6xNL2+tI0TV4M8Byylz8lr33DAhbwAB+EPf61b7ji4lvfIAaQQ\/wmTXOK95+VfY4BkjRkcd436DpPzCynaW6m7JmlwrgVzRcb09Sws77xBfAhb4AHCLgRg38XlknpHQ0zo\/CZ\/Y+sU2NrmHgpYy5lQb6REdD4mVZCCVnWJphshxggfeV6XaobD3\/vMYyivrFOo5\/+0DqUfy7ll4qtaMwikws1AHepAd7E370KOBYXEIVxJawXNEzNzACvUNz3ioqb3qC4Abyh4sacvVZGXiZxAtZmGD8hMTT0xNjYNsBjEudmFn5nfQNaPdsA\/E6TxsEiSfuGmC0DRIwni5mtaBDGc55EFmFL42O6jjNwCR7X+TplZvJoviTpk0njmfQEuATSI+AS7DjrwyUfadtHcTJjZk7nYG3mD+YDnc2Z0JggqTKCpb98VMEIT84qPmh7Idjkn0qRLpFewL26H7wdNyzD2Sxi+\/wAuRuuh3ejT2Nwez8ujJpvxs8fDDCjOTVpkIdJ3De+J8nSDGMDpEnE+sbDOs+T2AA5fQjjGZOBQdOQmhF9YJH8PghjYyfOF+FKGOJ7bk+agjbRhEivgqH8A+4f0hwbvu\/3XOkY0hQeh\/1iOdwxfyz8cTnX8Emyzts5hd9w2Cs26Xnn84rj9uCZvPL7P\/6p65fHUN8l\/LuHvWH5277ALvfPKb5Abs8\/ky\/+PJrq+mIV0TdtZ4gvH\/SGZzs8Dur+IIRn0Qn+8FxPRVp3f3y9GXyrOuSAAa69E9q+dWJoexbu4TOpfzP4Nrmfgv\/8G9zc7gf4eZqspQ1YPgBdvzRBPHQLCzBC0gTvmAlYQrkU5eOa\/r7uwwwigeKjwafx5G7YpLdjOduKYxedprgDnTNoPr0djO9G09Fk3KS770tPQQ9v6g6vUnZASLSVh5alpPluF\/VvhoPbUvN6PchmcwbkS1EVckjIcrbiD3v57jFNln0jCdTbPOkb7FX0DIsbFs+FjaqchL4HEHHAFUAYiStkWfIVE\/5alK8mi2enlH6bAlYUgLvWmI9RWb83a3PZyiFuzSHcB6VD5nS13yPYt5QOBIkxAfYRwLYFCHL46w\/1SLM2XTzyTAMdl9gWAdCD4EpccSWqrxjCH+qSZm2OuiQW5W7FJV7NJcIJpUtWLwc84slJuAIOFNMAbE\/q4EDvbGlzwBk17aFVU58rvNE+2q+96xIVVJ4lE851HQAJAh60+OuP0x4d1j5btdGezwHX\/lwJqqU9qWsfVQH3eb\/2viM9fQX400Jc+o40A1oW+rGxU9c\/W2nqLyNf6M8v30\/\/eb0PLrrWWRLXDSmiiH9aefCp0ncSBOsV5TVzVhj4tmJ9g19mbAMGNGd943oyHqr\/WcK+kdPsqbhrifrGZHh1De7W6TN7A8kjGMzWUQ7uZE\/\/09fRYHD1s\/q2qDH6xnVI53GSMe1CvaLtBVAqXgBh8l5u4CF5VYSAKoDdTSFjVwpg19vmeepyFozOtAQhp6WgCkVREwTRAQlhwD302jdsS3EcleKsUhEXpRnejXUhZx69rRYGyFMaZ49Juuwb4jKiOfvJti4QxD\/LqMaA9OzAMiFAJuzZgPC\/GQH8EsCe\/WwHFoAm4tem+J\/MJCa\/5l\/8\/gUDl38BiC\/IWzL+uRS0WzhmNM5k4QjB2nxxeNnImxhlLiJbBAzkUj5WIqMoDo\/Xo4X7iN9A5zQ1AoPp4G44bRoU1QZ1dCr4jyK\/2lnjOjqCDyXq73\/\/13GiTVbyNu6p6CUVgsCpEgTQbk+xQRcWfbYN65PSkmGbjMu+bJvsXyV8MjnRD31F9QtUTvsGltG4xSwcxVZcw9ayhlZoNaXZE2CvqyRbp6yGrstkxqKj2Mrp76WIZ94fD0YVmA2S5SpiSxbnIElBtn7I8jBf56wjtta0vQBCRR1sRZicCVwbJWmjaynpdHhFBUK\/A74igmoAC2GETRsggAE2HW1IRA46iom1GdXDkdLqrrD4ZXI9vNEDxXJMPVTczoyWhukh5KEc04BHTOx3gUfs4B8JjyKF9sDj4Tswp4s6AqpdA9RNC64w6lca0DgIWftadcaWNJ5VUPRrRHOel4CvQrE064iepWYt61I5o9DCnQvTBkktKlMlCbqnYidR8Ast\/+zYSTC5gJb\/\/1WcElsZjKy9SFxGhx5Ylf4j9g8sTstRbV8HImVGtTSIU9\/NordzUwN1bewq1IXYOSPq2ratUBcS9\/1R1\/aQxFBBNGlh6Jzm+2lMiaEbzk4hlWjIwZyu6iBaEyMQ9NNgWkXQhzeQlE1WBUhTGj+xWUf43Ch1Abgm8q8eeAqO9SzgeVBSa\/DEyO4KnriKv2cETwxdBZ4uQJENbFP8M+3vreEOI28v3G1msx08YBt3wzsesu3ADjs6q1Efa8Hf0ii+YtY8gkyjVkiHCXkXpMO23QXpqpNwGOlEpgSFFTr15eYOW7MiLdFUEN9aaLqzKOTV0LQk4RVufaX54oW+1aGU8zZ1KL29H49H409V7jSlIed1K0D6EuYLwJarKHnbqUenPIVDibyakFqodgG4PhcgXcdiwKOY6kDvTM18oyRtTC0lnd7MOwqW36OZd5BTa+bxwnv2PmN9NHWIc7SNLyZSD3ZKU7t28NPB3S96WFoOqUlrqtBvaY9e415PIg04daFVtNWVdt22q9t7ToFTF3tqo0zHdl1hxyFEpUHAWYq1Qq5AUOWCSJWtuMvnPVW6H4ZKkWSa7T6QL9UR3ZIssLrcbesWvX9bs3VZdG4t9iqkjraQOqKBIHQaoPov98P74XUFqZc0DxZ1pH5Moih5Mder7iBdaFWgtDLsKEh70DoTa9AoSRukS0mnswaewvn3YA086NVYg9Yg7WHvaIdfTqQeqpW2du3w9VG6HFKvvS\/CvqU9eg1+mUAaAO1bxYbJamdP\/B7qBtA+xj1yjs5eIkZzxStSZE9vf\/gO33HasgH7gLG+AyDb5gOSIKQRWKVJzoJKb68NkGEcJEsGsvVKal7CJH9LHyLWGSV3VDwFLbvTBI2SWqNlB5qgyLj3oAk4Wm5ogg5oeZAg2J7QdijTmSdoj5qaPEE9F1papUcUFFnVCjqrVME5obMjVdAaOrcaeQ3o1G\/9ZywIsw3+bW0DU0v8z3XwHD7TaE13UHNHlEDOwf308+R2NP1WAc9pSrkGcZ1TVZu+Mn5ohQfUFhtwwz\/XRs+NjhegUOwC0HW+SNIwfzuOnnzf2pkYgWZR2vi5EXU6JwAt+H47qLjwCiuAgLuAFidcn6GljaLQwsc3PW1mVg9pNiZ33vU0vBrdVY4QNJwgLMfVYwgqSdHWMD2WYCe\/dLY9WR7as7DvuJ33PUHoqONiHamCEmA0dj+JDNJs2XduOdqnL8M4XNKVsfdEq3KlInW8SvJWzpUQUjmPVBeyXO7ZQCBzxSlO8AnuppArTp+VgqVc2Eau7anza2eW68Geapntnt9Vrly9q8vFpLtcSdKIILVwGaTd\/VC0KUIyKjbMnMMT+yWfwxebh7qQTYplmFP9wY\/LF7Gr7K\/IwV71kJiUg4psa3HSmyB11JtfXB7OSSQLOnF0WungVo+YQ1Q9C38cjrHMbkKcrYeW9kOGKOYTTEdfhjej8ZDv9ZqMh+Bq8nlyW25o2PWD9ALkjKLwgzi2zd3AiwPuBptoGABdCSXEIac+J+URx0GWsSxrUhfbVo\/3F1zj4rq90tgm8s4z6D3lHH2T2jZyexhLtYvr9mrbGMo7z6C2YOGa1HYtFRzior3CrnWm4HDAMonzhebCTpFUW13ioVH37Yiv536e0uBJhbtKfncDQDau\/r5EparZEhKZDzTdfby5RD2FqjI9sSSyT6ie6b7V06NL9299bTTfE2X2WRyAHKSWf+pSO7rAtqCeA3Z2nDUa75\/LdI5g7o7MroaLjkfL9N3dJ02225bddeLLAmxjfV1qe\/thzX6E9KzfXi1utB063SwvS0SCfZXzVZld5x0j3XnfWYJpNB05Xae9Um2KJ+AeuV0dQLBm2B\/iVBvdgN33cEJF6mEX1Ki4lzrzVvyix6tZKFu8f1GKKmLuxRS7z3HP912MIPQ9xyfE2K4AYnGMWoAUr7l8VQWIC1kFoFoVUDdZrrPLmXGL+ra6v79SKuNKuX5oks0krsn0FQwTv9eJUh1Pfjv8kyCbct9Vv4JRrfdJzYgW9b5ro7MU\/KPx3dfh1XRyy6v9u+HN8Go6vAbjyfWBTX27vJl4l5l5mEesrpqzpRqqbq3h46n9UXrFWCnWO7kGFLM1+W08vK0NKWI6jLO+kbzELDU2OnDDnsGeJQp1+G9bl3ORa6Wtvt\/J1tH46\/307oCxYbxa85\/007fW11rGzlpuRS2MtWHHib2fHrE2Wectzd3Wp2FvFVjxh2Fbm1G3CR7+Oroejq+GB4xmz+GMxQFrYzXSmuRivxcIkuUyzHkN0NZ00m2678c3k6tfDk33Oo6S4KnVdBOieVCiVvL8Fw==\"><title id=\"nx-dag-g-p17-topics-lifelong-learning-skills-t\">Lifelong learning: from task exposure to reskilling pathways<\/title><desc id=\"nx-dag-g-p17-topics-lifelong-learning-skills-d\">Occupations are broken into tasks and scored for exposure; skill gaps are found against vacancies; training pathways are designed with employers; placement and social protection support the transition. 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=\"social\" data-variant=\"split\" 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\">Sources<\/span><\/div><h2 id=\"nx-s-8\" 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\">OECD Survey of Adult Skills (PIAAC)<\/td><td data-label=\"What it gives\">Adult literacy, numeracy and problem-solving<\/td><td data-label=\"Licence class\">Public results, OECD terms<\/td><\/tr><tr><td data-label=\"Source\">Eurostat Adult Education Survey<\/td><td data-label=\"What it gives\">Participation in adult learning<\/td><td data-label=\"Licence class\">Open, Eurostat reuse policy<\/td><\/tr><tr><td data-label=\"Source\">UNESCO Institute for Lifelong Learning Global Report on Adult Learning and Education<\/td><td data-label=\"What it gives\">Global adult learning policy and participation<\/td><td data-label=\"Licence class\">Public, UNESCO terms<\/td><\/tr><tr><td data-label=\"Source\">Cedefop skills and training data<\/td><td data-label=\"What it gives\">Vocational training and skills in Europe<\/td><td data-label=\"Licence class\">Public, EU terms<\/td><\/tr><tr><td data-label=\"Source\">National qualification framework registers<\/td><td data-label=\"What it gives\">Recognised qualifications<\/td><td data-label=\"Licence class\">Public records, licence per authority<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P17\/topics\/lifelong-learning\/#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=\"stack\" 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\">Decisions<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Future of Work and Skills 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\">Education and labour ministries<\/td><td data-label=\"The question\">How to fund and target adult learning<\/td><td data-label=\"Evidence this page serves\">Gap analyses; evaluations<\/td><\/tr><tr><td data-label=\"Who decides\">Employers and sector bodies<\/td><td data-label=\"The question\">Which training to provide and co-fund<\/td><td data-label=\"Evidence this page serves\">Skills and participation evidence<\/td><\/tr><tr><td data-label=\"Who decides\">Qualification authorities<\/td><td data-label=\"The question\">How to recognise short courses and prior learning<\/td><td data-label=\"Evidence this page serves\">Credential reviews<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Participation and access gap analyses<\/li><li>Evaluation designs for adult learning programmes<\/li><li>Recognition and credential reviews<\/li><li>Evidence notes for skills strategies<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"social\" data-variant=\"stack\" 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\">Core questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">What researchers ask about adult learning.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Who takes part in adult learning, and who does not?<\/li><li>Which forms of training lead to better jobs and earnings?<\/li><li>How transferable are skills between occupations?<\/li><li>How can learning be fitted around work, care and other obligations?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" 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\">Mechanisms<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Why adult learning is hard.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Skills depreciate when unused and become obsolete when technology changes. Adults face barriers that young students do not: lost earnings while training, care responsibilities, uncertainty about which skills will pay off and, often, past negative experiences of education. Employers under-invest in general skills that workers could take elsewhere.<\/p><p class=\"nx-p nx-mt-2\">As a result, participation in adult learning tends to be highest among people who are already well educated and in good jobs, and lowest among those most exposed to change. Training that is short, close to real work and linked to actual vacancies tends to show better results than generic courses.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"social\" 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\">Methods and data<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Evidence on learning and transitions.<\/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\">Programme evaluation<\/h3><p class=\"nx-p nx-mt-1\">Comparing outcomes of participants and similar non-participants, using <a class=\"nx-link\" href=\"https:\/\/therisk.global\/future-work-skills\/stem\/econometrics\/\">econometrics<\/a>. Selection into training is hard to control for.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Skills taxonomies<\/h3><p class=\"nx-p nx-mt-1\">Mapping skills between occupations to identify feasible transitions, using <a class=\"nx-link\" href=\"https:\/\/therisk.global\/future-work-skills\/stem\/economics\/\">economics and development economics<\/a>. Taxonomies simplify real skills.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Longitudinal surveys<\/h3><p class=\"nx-p nx-mt-1\">Following adults over time to see how learning relates to careers, with <a class=\"nx-link\" href=\"https:\/\/therisk.global\/future-work-skills\/stem\/social-science\/\">social and behavioural science<\/a>. Such surveys are costly and rare.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Recognition of prior learning<\/h3><p class=\"nx-p nx-mt-1\">Methods for assessing skills gained outside formal education. Recognition must be trusted by employers to matter.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" 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<\/span><\/div><h2 id=\"nx-s-13\" 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\/future-work-skills\/stem\/social-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Social and behavioural science<\/span><span class=\"nx-mledger-role\">Job quality surveys \u00b7 Social dialogue studies \u00b7 Learner experience research<\/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\/science\/social-science\/\" aria-label=\"Social and behavioural science: 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\/future-work-skills\/stem\/econometrics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Econometrics<\/span><span class=\"nx-mledger-role\">Displacement effects with linked data \u00b7 Training programme evaluation \u00b7 Workforce projections<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" 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\/econometrics\/\" aria-label=\"Econometrics: 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\/future-work-skills\/stem\/economics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Economics and development economics<\/span><span class=\"nx-mledger-role\">Task-based analysis of technology \u00b7 Labour market institutions \u00b7 Just transition economics<\/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\/science\/economics\/\" aria-label=\"Economics and development economics: 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\">Participation surveys count any learning activity and miss its quality and outcomes. Skills assessments are infrequent and cover selected countries. Programme effects depend on design and are often evaluated weakly. Future of Work and Skills accredits no provider; authorities decide.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-14-sec\" class=\"nx-section\" data-hue=\"social\" 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\">Questions<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What is lifelong learning?<\/summary><div class=\"nx-answer\">Learning that takes place throughout life, in formal, non-formal and informal settings, to improve knowledge, skills and competences.<\/div><\/details><details><summary>Why do lower-skilled adults train less?<\/summary><div class=\"nx-answer\">Because of costs, lack of time, fewer employer-provided opportunities, past negative experiences of education and lack of information.<\/div><\/details><details><summary>What are micro-credentials?<\/summary><div class=\"nx-answer\">Records of learning outcomes from short courses, which can be stacked or recognised within qualification systems.<\/div><\/details><details><summary>Does training help displaced workers?<\/summary><div class=\"nx-answer\">Some programmes do, especially those linked to employer demand and real vacancies. Many generic programmes show small or no effects. Design matters.<\/div><\/details><details><summary>Why do those most at risk train least?<\/summary><div class=\"nx-answer\">Cost, time, care duties, uncertainty about returns and past experiences of education all weigh more heavily on them, and employers invest less in their training.<\/div><\/details><details><summary>Are learning pathways from the platform qualifications?<\/summary><div class=\"nx-answer\">No. They are research outputs showing feasible skill transitions. Qualifications are awarded by competent education and professional bodies.<\/div><\/details><details><summary>What are individual learning accounts?<\/summary><div class=\"nx-answer\">Schemes that give individuals funds or entitlements to spend on training. Evidence on their effectiveness is mixed and depends on guidance and quality control.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-15\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-15\" class=\"nx-h3 nx-mt-2\">Around Future of Work and Skills.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/future-work-skills\/topics\/labour-market-change\/\">Labour market change <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\/future-work-skills\/topics\/automation-and-jobs\/\">Automation and jobs <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\/future-work-skills\/topics\/occupational-safety\/\">Occupational safety <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\/future-work-skills\/topics\/digital-work-and-platforms\/\">Digital work and platforms <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\/future-work-skills\/topics\/education-to-work-transition\/\">Education to work transition <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\/future-work-skills\/topics\/institutional-workforce-planning\/\">Institutional workforce planning <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\/future-work-skills\/\">Future of Work and Skills 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\/future-work-skills\/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-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Future of Work and Skills<\/span><h2 id=\"nx-close-16\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. 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=Future%20of%20Work%20and%20Skills%3A%20Lifelong%20learning\">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\/future-work-skills\/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\/future-work-skills\/topics\/lifelong-learning\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/future-work-skills\/topics\/lifelong-learning\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is lifelong learning?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Learning that takes place throughout life, in formal, non-formal and informal settings, to improve knowledge, skills and competences.\"}},{\"@type\":\"Question\",\"name\":\"Why do lower-skilled adults train less?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because of costs, lack of time, fewer employer-provided opportunities, past negative experiences of education and lack of information.\"}},{\"@type\":\"Question\",\"name\":\"What are micro-credentials?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Records of learning outcomes from short courses, which can be stacked or recognised within qualification systems.\"}},{\"@type\":\"Question\",\"name\":\"Does training help displaced workers?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Some programmes do, especially those linked to employer demand and real vacancies. 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