{"id":13616,"date":"2026-10-13T08:23:26","date_gmt":"2026-10-13T12:23:26","guid":{"rendered":"https:\/\/therisk.global\/nexus-campaigns\/?page_id=13616"},"modified":"2026-10-13T15:56:12","modified_gmt":"2026-10-13T19:56:12","slug":"social-science","status":"publish","type":"page","link":"https:\/\/therisk.global\/nexus-campaigns\/stem\/social-science\/","title":{"rendered":"Social and behavioural science for campaigns"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/nexus-campaigns\/stem\/social-science\/ \u00b7 source template \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" 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\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auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n1i8tql3.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n1i8tql3.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n1i8tql3.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n1i8tql3.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n1i8tql3.nxe :where(ul,ol){padding-left:20px}#nxe-n1i8tql3.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n1i8tql3.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n1i8tql3.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n1i8tql3.nxe svg{display:none}#nxe-n1i8tql3.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n1i8tql3.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n1i8tql3.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=\"protocol\" 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>G07 \u00b7 METHOD \u00b7 social-science<\/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 Campaigns<\/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>Method page \u00b7 Social and behavioural science<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Social and behavioural science for campaigns<\/h1><p class=\"nx-tagline\">Social and behavioural science is the core discipline of this platform. It explains how people perceive risk, judge sources, take part and act, and it supplies the survey, interview and experimental methods used to research audiences, test material and evaluate campaigns without overstating what they achieved.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/nexus-campaigns\/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-campaigns\/stem\/\">Back to STEM foundation of Nexus Campaigns<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-lv-steps\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Protocol<\/strong><\/span><span class=\"nx-eyebrow\">6 steps<\/span><\/div><ol><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-lv-steps-n\">01<\/span><span class=\"nx-lv-steps-t\">In brief<\/span><span class=\"nx-lv-steps-d\">The short answer<\/span><\/a><\/li><li><a href=\"#nx-sec-application\"><span class=\"nx-lv-steps-n\">02<\/span><span class=\"nx-lv-steps-t\">Application<\/span><span class=\"nx-lv-steps-d\">What social and behavioural science does here<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-lv-steps-n\">03<\/span><span class=\"nx-lv-steps-t\">Key terms<\/span><span class=\"nx-lv-steps-d\">Terms used on this page<\/span><\/a><\/li><li><a href=\"#nx-sec-canvas\"><span class=\"nx-lv-steps-n\">04<\/span><span class=\"nx-lv-steps-t\">Canvas<\/span><span class=\"nx-lv-steps-d\">The method as a run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-data\"><span class=\"nx-lv-steps-n\">05<\/span><span class=\"nx-lv-steps-t\">Data<\/span><span class=\"nx-lv-steps-d\">What the method consumes<\/span><\/a><\/li><li><a href=\"#nx-sec-checks\"><span class=\"nx-lv-steps-n\">06<\/span><span class=\"nx-lv-steps-t\">Validation<\/span><span class=\"nx-lv-steps-d\">How results are checked<\/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-s-3-sec\"><span>02<\/span>Survey analysis, in outline<\/a><a href=\"#nx-sec-application\"><span>03<\/span>What social and behavioural science\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-field\"><span>05<\/span>People and services in the Philippines<\/a><a href=\"#nx-sec-canvas\"><span>06<\/span>The method as a run graph<\/a><a href=\"#nx-sec-data\"><span>07<\/span>What the method consumes<\/a><a href=\"#nx-sec-checks\"><span>08<\/span>How results are checked<\/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\">Social and behavioural science is the study of how people perceive, decide and act, individually and in groups. For campaigns it explains how people judge risk and sources, supplies survey, interview and experimental methods to research audiences and test material, and evaluates effects without overstating them.<\/p><\/div><\/div><\/section><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"social\" 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\">Console<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Survey analysis, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this method: 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-campaigns-method-survey\" data-cx=\"campaigns.method-survey\" data-variant=\"section\" aria-label=\"Survey analysis: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Survey analysis<\/h3><p class=\"nx-fk-sub\">Campaigns \u00b7 Social and behavioural science\u2026 \u00b7 Run R-0626<\/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=\"info\"><i aria-hidden=\"true\"><\/i>Estimates stable<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Nexus Campaigns<\/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\">Estimates<\/h4><p class=\"nx-fk-panel-sub\">robust standard errors<\/p><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-campaigns-method-survey-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-campaigns-method-survey-t0\" aria-label=\"Estimates\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Term<\/button><\/th><th scope=\"col\" data-col=\"c1\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Estimate<\/button><\/th><th scope=\"col\" data-col=\"c2\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Std error<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">95 pct interval<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Sig.<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-campaigns-method-survey:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>People reached<\/td><td data-num=\"true\" data-sv=\"0.63\">0.63<\/td><td data-num=\"true\" data-sv=\"0.18\">0.18<\/td><td>[\u22120.4, 0.3]<\/td><td><span class=\"nx-fk-pill\" data-state=\"off\"><i aria-hidden=\"true\"><\/i>No<\/span><\/td><\/tr><tr data-fk-key=\"cx-campaigns-method-survey:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Knowledge gain<\/td><td data-num=\"true\" data-sv=\"0.36\">0.36<\/td><td data-num=\"true\" data-sv=\"0.06\">0.06<\/td><td>[\u22120.2, 0.2]<\/td><td><span class=\"nx-fk-pill\" data-state=\"off\"><i aria-hidden=\"true\"><\/i>No<\/span><\/td><\/tr><tr data-fk-key=\"cx-campaigns-method-survey:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Consent records complete<\/td><td data-num=\"true\" data-sv=\"-0.14\">\u22120.14<\/td><td data-num=\"true\" data-sv=\"0.14\">0.14<\/td><td>[\u22120.5, 0.3]<\/td><td><span class=\"nx-fk-pill\" data-state=\"off\"><i aria-hidden=\"true\"><\/i>No<\/span><\/td><\/tr><tr data-fk-key=\"cx-campaigns-method-survey:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Preparedness actions taken<\/td><td data-num=\"true\" data-sv=\"0.64\">0.64<\/td><td data-num=\"true\" data-sv=\"0.03\">0.03<\/td><td>[\u22120.2, 0.9]<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Yes<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"kv\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Method card<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>Method<\/dt><dd>Social and behavioural science<\/dd><\/div><div><dt>Sample<\/dt><dd>11,913 obs<\/dd><\/div><div><dt>Design<\/dt><dd>stratified, weighted<\/dd><\/div><div><dt>Label<\/dt><dd><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>MODELLED<\/span><\/dd><\/div><\/dl><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Residuals by group<\/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=\"Residuals by group\" data-fk-chart=\"cx-campaigns-method-survey-c2\" data-nx-z=\"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\"><\/svg><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Survey analysis: the screen's structure, terms and states for Campaigns.<\/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-application\" class=\"nx-section\" data-hue=\"social\" data-variant=\"split\" 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\">Application<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">What social and behavioural science does here.<\/h2><p class=\"nx-lede\">Social and behavioural science studies how individuals, groups and institutions think, act and organise. It explains vulnerability, risk perception, compliance and collective response to shocks. In information and public trust and society and human development, social science identifies who is exposed and less able to cope, and why warnings are or are not acted upon. It informs equitable design of policies and interventions across interconnected risks. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/social-science\/\">the STEM Commons<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cols\"><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><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><\/div><h3 class=\"nx-h3 nx-mt-2\">Audience research before a campaign<\/h3><p class=\"nx-p nx-mt-1\">Surveys, interviews and community discussions establish what an audience already knows, whom it trusts, which languages and channels it uses, and which groups are missed, before any message is written.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><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=\"M14 9a2 2 0 0 1-2 2H6l-4 4V4c0-1.1.9-2 2-2h8a2 2 0 0 1 2 2z\"\/><path d=\"M18 9h2a2 2 0 0 1 2 2v11l-4-4h-6a2 2 0 0 1-2-2v-1\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Pre-testing material for comprehension<\/h3><p class=\"nx-p nx-mt-1\">Draft explainers and notices are tested through cognitive interviews and comprehension tasks with members of the intended audience, and revised until the meaning people report back is the one intended.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><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 3v18h18\"\/><path d=\"m19 9-5 5-4-4-3 3\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Evaluation with a comparison group<\/h3><p class=\"nx-p nx-mt-1\">Randomised, stepped or matched designs compare people reached with similar people not yet reached, measuring understanding and observed action separately, with the analysis plan registered in advance.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" data-variant=\"stack\" 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\">Cognitive interview<\/td><td data-label=\"Definition\">An interview that asks people to think aloud while reading material, to find where it is misunderstood.<\/td><\/tr><tr><td data-label=\"Term\">Pre-test<\/td><td data-label=\"Definition\">Testing campaign material with a sample of the audience before release.<\/td><\/tr><tr><td data-label=\"Term\">Comparison group<\/td><td data-label=\"Definition\">A group not exposed to a campaign, used to estimate what would have happened without it.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"social\" 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\">Geography<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">People and services in the Philippines.<\/h2><p class=\"nx-lede\">Where people live and how far each division sits from a large city's services, shown for the Philippines 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=\"philippines:social\" data-ramp=\"purple\" data-basis=\"case\" data-focus=\"0 0 2000 1400|639 735 951 1141|974 339 1057 426|1211 1018 1278 1110\"><figure class=\"nx-fk\" data-fk=\"map-philippines-social\" data-ramp=\"purple\" data-nx-z=\"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\"><figcaption class=\"nx-fk-cap\"><span>Where people live and how far each division sits from a large city's services.<\/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\/G07\/stem\/social-science\/#map\" data-nxf-title=\"Nexus Campaigns live map\" data-nxf-height=\"560\" hidden><\/div><div class=\"nx-map-hud\"><span class=\"nx-eyebrow\">GCRI \u00b7 Nexus Campaigns \u00b7 field<\/span><span class=\"nx-eyebrow nx-map-hud-right\">DESIGN FIGURE<\/span><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-canvas\" class=\"nx-section\" data-hue=\"social\" 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\">The method as a run graph.<\/h2><p class=\"nx-lede\">Data from the source register feeds the methods; calibration and an independent test gate the estimate and its limits; the decision stays with the competent authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Method canvas<\/strong> \u00b7 Social and behavioural science as applied here<\/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-g07-stem-social-science-prisma-t nx-dag-g07-stem-social-science-prisma-d\" data-nx-z=\"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\"><title id=\"nx-dag-g07-stem-social-science-prisma-t\">Social and behavioural science in Nexus Campaigns: systematic evidence synthesis<\/title><desc id=\"nx-dag-g07-stem-social-science-prisma-d\">A question is framed with its owner and a protocol registered; records are searched, screened and checked for eligibility by two reviewers; data are extracted, synthesised and graded for certainty before a brief is written. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 01<\/strong><span>Nodes carry their type, metrics and state; connectors show what feeds what; the gates are the validation steps; the timeline is one application. Design of the method's use, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-data\" 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\">Data<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">What the method consumes.<\/h2><p class=\"nx-lede\">Datasets and records used by social and behavioural science on this platform, with the role each plays and the label its values carry. Sources are listed in <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/research\/\">the source register<\/a>.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Data<\/th><th scope=\"col\">Role<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Data\">Opinion and trust surveys<\/td><td data-label=\"Role\">Baseline awareness, trust and media use by group<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Cognitive interview transcripts<\/td><td data-label=\"Role\">How material is understood in people's own words<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Census and language statistics<\/td><td data-label=\"Role\">Audience composition and denominators for reach<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Data\">Platform researcher access data<\/td><td data-label=\"Role\">Exposure to and spread of public content<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Consent and participation registers<\/td><td data-label=\"Role\">Who took part and on what terms<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"data\" data-nxf-kind=\"data\" data-nxf-resource=\"nexus:\/\/gcri\/G07\/stem\/social-science\/#data\" data-nxf-title=\"Method record\" data-nxf-height=\"520\" hidden><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G07\/stem\/social-science\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-checks\" class=\"nx-section\" data-hue=\"social\" 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\">Validation<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Findings are tested through replication, triangulation of methods and pre-registered designs. Measurement instruments are checked for reliability and validity.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Check<\/th><th scope=\"col\">How it is done<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Check\">Instrument validity<\/td><td data-label=\"How it is done\">Questions are piloted, translated with back-translation and cognitive testing, and checked for reliability before fielding<\/td><\/tr><tr><td data-label=\"Check\">Pre-registration<\/td><td data-label=\"How it is done\">Hypotheses, outcomes and analysis are registered before data collection; deviations are reported<\/td><\/tr><tr><td data-label=\"Check\">Representativeness<\/td><td data-label=\"How it is done\">Sample composition is compared with census benchmarks, and weights are reported with the results<\/td><\/tr><tr><td data-label=\"Check\">Triangulation<\/td><td data-label=\"How it is done\">Survey, interview and observational evidence are compared before a conclusion is stated<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Behaviour is context dependent and may change under stress. Self-reported data carry recall and social desirability biases.<\/p><\/div><\/div><\/section><section id=\"nx-sec-connections\" 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\">Connections<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Topics that rely on this method.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/risk-literacy\/\"><span>Risk literacy<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/water-and-food-awareness\/\"><span>Water and food awareness<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/community-preparedness\/\"><span>Community preparedness<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/responsible-ai-literacy\/\"><span>Responsible AI literacy<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/campaign-governance\/\"><span>Campaign governance<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/participation-consent\/\"><span>Participation consent<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/campaign-evidence\/\"><span>Campaign evidence<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/campaign-completion\/\"><span>Campaign completion<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-stewardship\" class=\"nx-section\" data-hue=\"social\" 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\">Stewardship<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Who maintains the method.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/\">Society and Human Development<\/a> stewards social and behavioural science for the Consortium and reviews how it is applied across platforms.<\/p><\/div><div class=\"nx-section-body\"><p class=\"nx-p\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/social-science\/\">Canonical page: Social and behavioural science<\/a><\/p><\/div><\/div><\/section><section id=\"nx-s-12-sec\" class=\"nx-section\" data-hue=\"social\" 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\">Connected<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Where this page leads across the Consortium.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/stem\/science\/social-science\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Canonical method page<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Social and behavioural science<\/span><span class=\"nx-dest-why\">Platform application links to the canonical method page.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><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><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/human-development\/stem\/social-science\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Steward platform<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Social science methods<\/span><span class=\"nx-dest-why\">Society and Human Development stewards this method.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><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><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-13-sec\" class=\"nx-section\" data-hue=\"social\" 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\">Questions<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What are the limits of social and behavioural science in this field?<\/summary><div class=\"nx-answer\">Behaviour is context dependent and may change under stress. Self-reported data carry recall and social desirability biases.<\/div><\/details><details><summary>How are results checked?<\/summary><div class=\"nx-answer\">Findings are tested through replication, triangulation of methods and pre-registered designs. Measurement instruments are checked for reliability and validity.<\/div><\/details><details><summary>Are the values on this page real?<\/summary><div class=\"nx-answer\">The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method's use, not a run; no result is reported here.<\/div><\/details><details><summary>Where else is this method applied?<\/summary><div class=\"nx-answer\">The <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/social-science\/\">canonical method page<\/a> lists every platform that applies it.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-14\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-14\" class=\"nx-h3 nx-mt-2\">Around Nexus Campaigns.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/nexus-campaigns\/stem\/decision-analysis\/\">Decision analysis for risk communication <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-campaigns\/\">Nexus Campaigns 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-campaigns\/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-15\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Nexus Campaigns<\/span><h2 id=\"nx-close-15\" 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=Nexus%20Campaigns%3A%20Social%20and%20behavioural%20science%20for%20campaigns\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/nexus-campaigns\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/nexus-campaigns\/stem\/social-science\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/nexus-campaigns\/stem\/social-science\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What are the limits of social and behavioural science in this field?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Behaviour is context dependent and may change under stress. 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