{"id":104,"date":"2026-10-17T10:39:12","date_gmt":"2026-10-17T10:39:12","guid":{"rendered":"https:\/\/globalriskforum.com\/disaster-crisis-governance\/?page_id=104"},"modified":"2026-10-17T10:39:12","modified_gmt":"2026-10-17T10:39:12","slug":"methods","status":"publish","type":"page","link":"https:\/\/globalriskforum.com\/disaster-crisis-governance\/research-2\/methods\/","title":{"rendered":"Methods and critical debate"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/globalriskforum.com\/disaster-crisis-governance\/research\/methods\/ \u00b7 source template \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-water-data\" data-nx-pack=\"deflate\">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<\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-water-gibs\" data-nx-pack=\"deflate\">lVjbcqPIst2\/cd4cPJ0TyobKqqIAv2HLthDoYtmWLE90KBCgi4VAAnSdmF\/YH7M\/YX\/ZicTttnumZ89sRxgVRVVlrpWrICv\/+T\/\/+Mev2l67RNAO66rULrVFVW3KS8OYL6elnoRFtYjDKtSzsAz1eb43aJiRbMq5FFwZ06SsNNCmYZlol79qK+3yrQ3aMtYuNffh8WYwuWvedCZ3RXIqozBNJg+LME7iySBJl8lMA61ak12BOjfXGmjr8PiiXSKClhwr7VJ73cy130CLk\/W7BWr+0cB1nubFxMvi5PjXi26yed27KbXLX37VqmWVJtqldpMm+7Ba5pkGWhpOk1S7zHZpCtouW9bs0FrVaUNjozyrltku35UaaMV8St60njK3Nc7cVpS7rfnGba22bivfuq2ycFusdFuyclv2zvXcnevd7F3PO7je\/dH1no6uNz65XnR2vTlzvRW6Xomud+Cux4TrSel6tnTbrum2PeW2O5bbvrfd9pPttseO244abntuuO3ccNuV67aPV24br9222XTbTtP1b29cv33r+t071x\/cuf6w5fovnusv2q6f+q6\/8V2\/Clz\/2HF97Lq+03OV07kqroLr6a3fDNrtptX1bopu63Y6uLsLhret4KXZsuJrr4iv2tOF6wcrw7fyRlCUTmda2t3pQfUCZvYsKfuFLe6nNh90XBzYN+yh9M6PZef0VN4fhvbTbmSPq3EnKl46820YrfJplGdRWaZxyVaJLZcz214suu5s2b1JXmMvWsWdaVrdv6yr8ThzolHuzIfb7uqx6OYPZVzeV\/Ghv6tYd+\/Ynb0jg0OXBYfuITjEZXCI8+BQrYKDMw8OThQcu+Pg2H0KjvF9cIw7wbHygqNzExwdNzh17ODUkcEpYsEpOgSn8hCc7NI\/2bl\/7qz8c2fun6PIP0dj\/1w++Wf73j\/bHZ91PJ91bnwWuT6b2j4rpM8s5jPr4GNQ+hjkPk5XPhYrH6djH4N7n1k3AdvaAQsPHebnnbOad8\/bp+457PTOvts7mbJ\/2pT908vq\/tSO7o\/m\/eC48QbHsf1w9NjDQeaPh3z+eBiPHw9e52kvb572mRzunw\/DfWs12olotMuennfP3vOu5Y4rzsbVunypRvOX6m4clvw+LNc303JoT8vbQ1RgHhU4j4t0Pi\/S1apI87xIy7IYHg7FkLFiKEUxtK3izjWKu9tmcXfbKu7awZZ3+1s+eNjy4WjLX8LtOk6268Vyu07X2\/Vmu11jtRVXh63onovWCy+eU7N4PtpFfu0Wea9ZyPCu9Nbt0jt1ynGjX770HstNOCrN9UtpnqKq3ZhVvr+swnBdbdebansqK9XYV5Z\/2gUj3E3X5s7aWfspdw6dpnsog+tj9Hx7tGetU5S1z51z51xaPRa3BszpP2L8POTd1zGvilDEIhaOMZO7YGn2HlfmbrpWSbZRjX1h7ayd3W8e7H1wcmbP6Bgz0dgXyuifbcMwDHoJhOvN99dTmmuXvyAoQARUwBG4AoEgFEgEqcBEMBUoBKXAQrAU2Ai2AgfBUYAMARnNRkBUgBwBuQIUCCgUoERAqQBNBDQVoCIzCtBCQEsB2ghoK0AHAR0FnCFwRn4gcPKHHOIKuEDgQgGXCFwq4CY5isAtBG4jcAdBMASBCIIjCIIgEYRJUBCEhSBsBOEgSIYgEUFyBCkQJAE1CSyCtBCkjSAdBJMhmIhgcgRTIJgSwazpQDAtBNNGMB0ExRAUIiiOoASCkgjKJMIQlIWgbATlIFgMwUIEiyNYAsGSCJaJYBGnDMHmCmwTwbYUOAzB4QocE8EhnlhNNDHLiEpGfTX5Nds1vTWfRCASY0gUIac+IgZFHRXqE9RHJKCkPoKOkvoIMJrUZ9bhoj4Ch4r6CBIq6iMgaFEfuY9WHUfqIwRIEJAwIIFAQoEEAwkHZ3WAKaKEgxMOTjg44eCEgxMOXguhjnwdasLBCQcXtRqoj3BwwsEJByccnHBwwsEJByccnHBwwsEJB1e1dKiPcHDCwQkHJwicvOfkOCefBbkryFOBtbqoRa4J8krUiqslRm4I8kCQcWHWsqMWWRNkSJANQTYE2RBkQ5ANSTYk2ZBYK5NaZEOSDUk2JNmQtW5roZINadaSpRbZkGRDkg1JNiTZkGRDkg2T1VqmC61s0qImrWfWIqdVTFrApLkmTVOsVjVdaIaiGYpmKJqhas3TDEUzFM2wWK1vutAMi2ZYNMOiwVatcFbLnC6S4VfQFsv3zKVaRitKcn5hoKH2FX5B0JAxxi7W2tevv339jTKdU1K8JUKUXm2SfJN+T+Hu+qNJP9\/s0jovmjSTrFxWpwlnnH1Ps3D1kWOpH1OsNKwoRfzmzCYplnn8fveH9OvDzsU3O3+Wh735aKzW\/\/7Xf8zIDCMYGA0jMBrnO6ORuUYjtIxGjxuN64Ph8MJwtmujGoVGfN0zOrum0XkRDfu2bBTHeaNYDBvF7aCxrboNNfQbpnNntNOm0e4YxpjZDXkjG89PzOGrgzOUpY1ebj+NV3aznKumN5cP+YIvb5ZssXo9Hd3V0Z2n+3t3\/fGl+M50\/bFggIC6CRy4boIAoZsgQeommGDpJiADpCdoAtI9Z8DpnptgMrBoAI2gAYzeIPROoF1O+5b2FW0IUjJpExQ3SVhgWSbYJgOH1\/PZN+3UCmHss3x0xi37m4aYLpipSEhvd6b5dsc+Cezic4y+1uvGyVWS5gft0iTdvaltluZ5\/C62oecNHibX+Xq6zJJ4ckvPJuJLMzx91xo32YfY7J+LTaMX4RdkX1BqH6LT+tj8WdI\/CqukuOgXebyLqj8T3CeVpWFZJh8S61QBGobtNhZyVajGXoPvQy5\/0Q60OI1Noh39vsPNcjpWaV+\/mavHPuyKWRglF6NvcwY0p1hm84vbb7Pef72s3M1my2iZZNVFs17og9Gq2CU\/EtrtuS5nk+u8KJKoSuJBMkuTqAqzKJk8FrukPjr9BcN0DPtbDH8P7LKoWfqjH4+LpFiH6cTN8nWYLpNyIixzPXHT9LsPJvvkg\/Xuw3pf\/dQH8cco75Ooygs6MW6KnPba7aCvfYSzM9J+e3c0yvc13bWjnV7T+6TAQEy8u6v+JAizeHJNAyePp00ycbNsF\/6Vu38UpfzC8AvDH90d\/0yU1ySh5WwZ1a\/D8r+XpTfOF53ocFx3Dsd0vx29TrfdXc67TqzOfLeLDefJtYM0G8geNnbO2Ti47vqlO6Jcdm81nEVZvL7cDVY\/ynmWF28n\/r\/TKBfFbvr5N9yHWRb+0JoXYUlOH5IqDTPSdkTxAm1XTEM6hq\/zMlxGFJ4oqSsNRZFQ\/\/vG+tlGutknxbxIkuyimyRxmqRJOLu4rd0iWx+Pr4o8jH\/3tJlEy5g+Ij+f\/PH4Z5M7y2MSf7q\/TvMyiS8eiAHCR329TZL92DPK8\/h08fBGCnV8at4RQe8D+7RxMtr0oze+ahtFvnlvPxFrF2EWX1ztlmn1Zbe5CH43zOiG1a4I04thMk+qt69tpyb5RwsPWX6oV\/Jq4q\/eiX97XV7l8bJW21MWfZNqEn9+C2VV+uPmf+j2+5O7cHO7TNMknlwNmrcfb6RJMzx1l\/NFdUUbbRDGS3o5\/df76+11wP\/GS\/+TiZ9urGxk\/G+0\/ve\/Lsri\/\/5jhnF1iFrNe9a9OXYe767m49aAxd7DzaL98JT6D6tN8MAqOoZ2adA5Er3XXPUfmXN\/c+Xes25z8DS8fbhZeA+rjf\/4hN1H5vSfhrcDag7pD+Pn0TB9GWE1faYbdGZjMrRuL2l\/vtBDHmfhKN2E6812encspzSYO\/uodXWgo28kumc67sa0QPbCk9ZCJs+pSUfbRFQWHWdnmdmYCceYe9funAzk\/vVc9poLAjMe3S7y8G4hk9bSW3pLMp5v\/aXcBa\/eqfM65t3XXPVeZaO\/al\/fr8ixjf+wMnuPKRFBTm7CUWomz+v2crx+Wb+sN9twbe6mWfsUZQRgoxJygcySKVqelqRlaCoNpyHUTc0t\/aldUfinsgh5VdCNauzL4PpQEgn0wOqdKwoAEUKDrETsgqWsawQ0geoEwcmmWsGeJlsNo64ZEHG0kN1vHjuPN3X9gBalGkLn1aM6wokM2PugricQwWTMNvqMAk1kk2GqL3Qfn6jGgOSEM3uuaw0UBHLI2U8FiYLqDuQc1R56zbmkAJGjjf5rXYegYJHTjVmmSEAUOAJAdYneubQoiASmYezrGsWsdaQ6hW30zw6JjQJMIKlm0X+VDQo2ATb2Vl2\/oMAT+B\/qGCntx\/IjO2U6AtM5MF0A0yUw3QSmK2C6BUy3gelOncHSPwfUBaAu64wWdQWoW4C6Dag7dYaLwHX6FcB1WWe8XFfAdQu4bgPXnToDRhA6B6FTW9YZsdAVCN0CodsgdKfOkBGkzkHqAqT+ljFLXYHULZC6DVJ3wARTRzB1DqYuwNQlmJRX6wpM3QJTt8HUHVCgdASlc1C6AKVLULoJSqd+C5RugwWWjmDpHCxdgKVLsHQFlk79Nli6A7aOYOscbF2ArZtg6wps3QZbd8ABR+fg6AIc3QRHV+AQIwyQuEUiFolZJFqROK2rP3p9EXQx6WLRxQbkdB6oL5IuVJqgbgFIpCExhkQXEk9INCFxhEQQEjt0kiBOkAhBs+6hocQAEnwk3KiojzDXxw4ktGgDEkIkeEj40KH1HZrkUBAZcMLDSR1UayIAnITAawXUga8jLoBTfDkFlUvgFEJOceMUMm7WJxyaQjHh5BCnGPD6CESMc3KEkw+c6OXEqyBCBSmU6lVY\/5KkiCpRi6vWExEjyKAgkQiyJRQIirogI4KiK2yd\/\/mxCLT3MxCz5ceJyDIdGzT+7c5hJmiCXfzwVfndmUj8Rl\/P\/wc=<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-water-engine\" data-nx-run=\"water\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-maplibre-points\" data-nx-run=\"mlpoints\">fVRhj5s4EP0r2ZUieRbjkOy2x4adja66frucKp36pQhVPmIXX4iNjAmpKP\/9ZEjC7la9LyCYec9v5o2HyEbnThlNoFOStErvTMu+ftWnLa\/+VP9Y8cko7WrorHCN1f0lf7Ynkh7plu5oCd2R21mNWrSzz0q7+Hdr+XcigVrsqnXU0xOmWXKFcjIiBEZU45KaZGc6g3VqWRUEWSICNPPlKr7Tib7D5Sru20KVgphn\/wHJKGUmJjHtlZGTKT5fbUIigiUsVmuxWE3pORFUQzeyWlY9iRFuPJwWaOYxVbjlrmCyNMYSs4ghUZIUiLgac53PDSyr\/P8bTRR1AJ1lFbq+F2UtZuf8CDofDTkBGAI+KUAfWm7i9UPf9zmpWSn0N1fQqx+DQiWJuEG8v7R\/JnlZi37U+hA9vqeF72xO9AT0QjxQIeI76AyG7tIRZxvR+9DNUMYrzpy4iaOizcBRIeIDdAWrmrog3h\/aZNC\/AsIrdkgKJo39yPOCTJIuLYtohRFt6CGRxvrOo0qjLPEWqHSZJdA1g4MHbOYxIv62idYvbGi8DaNrhzCcPUfQuQBbAkk1vpQkI3AJ3WkUXZJj4Bbmbke3YeXfAH3fe9WsQv1G+\/nr1P\/yIuC1KDkWdcSup1v\/2KFkB15dSK6JJa3HVIuSHZVoCdAT7tg34T6YRu9qApRjRFtMM5pTca6QP5XswE9fNqs4XgxNqExLVpTDs2XtYrUe2g8dD4JhIDT+lEjNOMTWH0Pu30cL7cfbsvb5\/t3jJlzG0dqy0uhwYBxMESPkwE8koi96Tx6j8OQ1\/2WsKwjAQgMk4gnf5FzR4WNEB8DfphkAHpGIIIDOn5O\/AhbBMo6GhPzpTcCydgp6tN9T5+vytFxB156nU1CSz01gYG4y77FvisI64EHL\/jVKk9vkdhiRY1qyfYaI6rrWzr9U8smag6oF42VJWm\/nNMVudLHCku0DT+uSbVpl6B8\/fkhfKpGMV4o5VYrPtvTOU05dGmXUpcsMgLlC6Imxud7Bhpn9pmHcL84PjZTCEljrpiz7\/8Fs9qQZiO+0t5I+RqE\/605TTSWrHKzTrKcvNvwITLNp0r32\/idd4wKZ2rS5kWwn+I7AZeh2Z2NtLsitPoVleBuUbA+sFu4P7jiRTOYkzVhudM4d41VVfidp5pck9L23Bwgk\/wE=<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-maplibre-sources\" data-nx-run=\"mlsources\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-maplibre-engine\" data-nx-run=\"maplibre\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-mount\" data-nx-run=\"mount\">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<\/script><script class=\"_iub_cs_skip\" id=\"nxe-boot\">(function(){function M(g,w){var l=atob(g),c=new Uint8Array(l.length),r;for(r=0;r< l.length;r++){c[r]=l.charCodeAt(r)}var o=0,e=0,b=0,f=new Uint8Array(Math.max(1024,c.length*6)),n=0;var V=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258];var W=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0];var Y=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577];var Z=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13];var z=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];function u(a){while(b< a){if(o>=c.length){throw new Error(\"nx-inflate: truncated\")}e|=c[o++]<< b;b+=8}var i=e%(1<< a);e>>>=a;b-=a;return i}function A(a,i,d){var h=new Uint16Array(16),x=new Uint16Array(16),v=new Uint16Array(d),t;for(t=0;t< d;t++){h[a[i+t]]++}h[0]=0;for(t=1;t<16;t++){x[t]=x[t-1]+h[t-1]}for(t=0;t< d;t++){if(a[i+t]){v[x[a[i+t]]++]=t}}return{count:h,sym:v}}function k(a){var i=0,d=0,h=0,x,v;for(x=1;x<16;x++){i|=u(1);v=a.count[x];if(i-v< d){return a.sym[h+(i-d)]}h+=v;d+=v;d<<=1;i<<=1}throw new Error(\"nx-inflate: bad code\")}function I(a){if(n+a<=f.length){return}var i=new Uint8Array(Math.max(f.length*2,n+a));i.set(f.subarray(0,n));f=i}var L=null,R=null,T=0;while(!T){T=u(1);var O=u(2),S,$;if(O===0){e=0;b=0;var E=c[o]|c[o+1]<<8;o+=4;I(E);f.set(c.subarray(o,o+E),n);n+=E;o+=E;continue}if(O===1){if(!L){var X=new Uint8Array(288),J=new Uint8Array(30);for(r=0;r<288;r++){X[r]=r<144?8:r<256?9:r<280?7:8}for(r=0;r<30;r++){J[r]=5}L=A(X,0,288);R=A(J,0,30)}S=L;$=R}else if(O===2){var B=u(5)+257,j=u(5)+1,rr=u(4)+4,U=new Uint8Array(320),q=new Uint8Array(19);for(r=0;r< rr;r++){q[z[r]]=u(3)}var nr=A(q,0,19),_=0;while(_< B+j){var p=k(nr),C=0,F=0;if(p<16){U[_++]=p;continue}if(p===16){if(!_){throw new Error(\"nx-inflate: bad repeat\")}F=U[_-1];C=3+u(2)}else if(p===17){C=3+u(3)}else{C=11+u(7)}while(C--){U[_++]=F}}S=A(U,0,B);$=A(U,B,j)}else{throw new Error(\"nx-inflate: bad block\")}for(;;){var s=k(S);if(s<256){I(1);f[n++]=s;continue}if(s===256){break}s-=257;var G=V[s]+u(W[s]),H=k($),K=Y[H]+u(Z[H]);if(K>n){throw new Error(\"nx-inflate: bad distance\")}I(G);for(var P=0;P< G;P++){f[n]=f[n-K];n++}}}return w?f.subarray(0,n):new TextDecoder(\"utf-8\").decode(f.subarray(0,n))}if(typeof window.__nxInflate!==\"function\"){window.__nxInflate=M}function Q(g){var w=M(g,true),l=w[0]|w[1]<<8|w[2]<<16|w[3]<<24;var c=w.subarray(4+l);function r(o,e){var b=\"\",f=c.subarray(o,o+e);for(var n=0;e>n;n+=8192){b+=String.fromCharCode.apply(null,f.subarray(n,n+8192))}return btoa(b)}return JSON.parse(new TextDecoder(\"utf-8\").decode(w.subarray(4,4+l)),function(o,e){return e?e.$b?r(e.$b[0],e.$b[1]):e:e})}if(typeof window.__nxUnpack!==\"function\"){window.__nxUnpack=Q}var N=document.querySelectorAll(\"script[data-nx-run]\");for(var D=0;D< N.length;D++){var y=N[D];if(y.hasAttribute(\"data-nx-ran\")){continue}y.setAttribute(\"data-nx-ran\",\"true\");try{var m=document.createElement(\"script\");m.className=\"_iub_cs_skip\";m.setAttribute(\"data-nx-runtime\",y.getAttribute(\"data-nx-run\"));m.textContent=window.__nxInflate(y.textContent);(document.head||document.documentElement).appendChild(m)}catch(g){y.setAttribute(\"data-nx-ran\",\"failed\")}}})();<\/script><div class=\"nxe-host\" data-nxe-embed=\"n-r-p02-research-methods\"><div class=\"nxe\" id=\"nxe-n7a8gi0m\" data-inst=\"grf\" data-theme=\"light\" data-grammar=\"atlas\" data-domain=\"systemic\" data-arche=\"evidence\" lang=\"en\" data-nx-css=\"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\"><style>#nxe-n7a8gi0m.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n7a8gi0m.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n7a8gi0m.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n7a8gi0m.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n7a8gi0m.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n7a8gi0m.nxe :where(ul,ol){padding-left:20px}#nxe-n7a8gi0m.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n7a8gi0m.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n7a8gi0m.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n7a8gi0m.nxe svg{display:none}#nxe-n7a8gi0m.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n7a8gi0m.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n7a8gi0m.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=\"ledger\" 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>R-P02 \u00b7 EVIDENCE \u00b7 methods<\/strong>GRF 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\">GRF<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Disaster and Crisis Governance<\/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>Methods and uncertainty<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Methods and critical debate<\/h1><p class=\"nx-tagline\">The methods Disaster and Crisis Governance relies on, the assumptions they carry and the limits of what they can show.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskforum.com\/disaster-crisis-governance\/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:\/\/globalriskforum.com\/disaster-crisis-governance\/research\/\">Back to Research and institutional knowledge<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\" data-variant=\"ledger\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Disaster and Crisis Governance<\/strong><\/span><span class=\"nx-eyebrow\">Register<\/span><\/div><ol class=\"nx-register-rows\"><li><div><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">Fields<\/span><span class=\"nx-register-v\">Disaster and crisis, Critical infrastructure<\/span><\/div><\/li><li><div><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">STEM methods<\/span><span class=\"nx-register-v\">3 canonical methods applied<\/span><\/div><\/li><li><div><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Topics<\/span><span class=\"nx-register-v\">8 subject pages<\/span><\/div><\/li><li><div><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Counterparts<\/span><span class=\"nx-register-v\">12 platforms in shared fields<\/span><\/div><\/li><li><div><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Publisher<\/span><span class=\"nx-register-v\">The Global Risks Forum<\/span><\/div><\/li><\/ol><p class=\"nx-register-foot\">GRF \u00b7 In development \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>Draft to published version<\/a><a href=\"#nx-sec-field\"><span>03<\/span>Hazards now in the Caribbean<\/a><a href=\"#nx-sec-methods\"><span>04<\/span>The methods in use<\/a><a href=\"#nx-sec-pg-methods\"><span>05<\/span>Methods for crisis governance<\/a><a href=\"#nx-sec-uncertainty\"><span>06<\/span>How uncertainty is reported<\/a><a href=\"#nx-sec-terms\"><span>07<\/span>Terms used on this page<\/a><a href=\"#nx-sec-pg-sources\"><span>08<\/span>Where this page's references lead<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"split\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">The Disaster and Crisis Governance methods page sets out the methods the platform relies on, among them decision analysis under uncertainty, policy, institutional and decision science, and optimization and operations research, with their assumptions, validation and limits. Each analysis lists its assumptions and data, reports ranges and confidence beside central estimates, is checked against observations or other models, and states what it cannot show.<\/p><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"search\" data-nxf-kind=\"search\" data-nxf-resource=\"nexus:\/\/grf\/R-P02\/research\/methods\/#search\" data-nxf-title=\"Search publications\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Draft to published version.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Canvas<\/strong> \u00b7 draft to published version<\/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-r-p02-research-methods-prisma-t nx-dag-r-p02-research-methods-prisma-d\" data-nx-z=\"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\"><title id=\"nx-dag-r-p02-research-methods-prisma-t\">Methods and critical debate: systematic evidence synthesis<\/title><desc id=\"nx-dag-r-p02-research-methods-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.<\/strong><span>How a finding is reviewed before it is published. Design, not a record.<\/span><\/p><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"systemic\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Hazards now in the Caribbean.<\/h2><p class=\"nx-lede\">For methods and critical debate, in GRF's situational-awareness reading, the map opens on population density, flood water and true-colour imagery, framed on the Caribbean; 3 further NASA layers wait in the list.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"caribbean:disaster\" data-ml-points=\"on\" data-ml-src=\"disaster\" data-ml-plan=\"p-78abbc59\"><div class=\"nx-wm\" data-nx-water=\"ctx-disaster\" data-wm-domain=\"ctx-disaster\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"-85.5,10,-59,24\" 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=\"Hazards now, the Caribbean: 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=\"flood,people||||\" aria-pressed=\"false\">People and floods<\/button><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=\"flood||||\" aria-pressed=\"false\">Floods this week<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"true||||\" aria-pressed=\"false\">True colour<\/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\">3<\/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\">Hazards now, for this page<\/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-short=\"Population density\" 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=\"flood\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-short=\"Flood water\" 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><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"true\" data-wm-z=\"22\" data-wm-lag=\"1\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"fires\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-op=\"1\" data-wm-breaks=\"10,50,200\" data-wm-short=\"Fires and flares\" data-wm-prov=\"NASA LANCE FIRMS\" data-wm-kind=\"Satellite detection; clouds and overpass timing leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Active fires and thermal anomalies, last day<\/span><span class=\"nx-wm-layer-src\">NASA LANCE FIRMS VIIRS NOAA-20 375 m (FIRMS) \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"fires\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.7\" data-wm-short=\"Land cover\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite classification; latest year GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land cover type (IGBP), yearly<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Terra and Aqua land cover (MCD12Q1) \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"cover\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" 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><\/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=\"xt\" data-wm-xt=\"nD8AHC9C+3M3ObZpd9R\/Lxb2bo29sfEuijTslQu3cAY=\">More expert tools<\/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\"><\/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 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \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>For methods and critical debate, in GRF's situational-awareness reading, the map opens on population density, flood water and true-colour imagery, framed on the Caribbean; 3 further NASA layers wait in the list.<\/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 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 NASA EONET \u00b7 GDACS<\/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\">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\">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\">CC BY 4.0<\/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\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.firms\">NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles 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\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.modis-viirs.land\">MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and 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\">NASA open data<\/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\">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\">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\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; 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\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Live: NASA EONET Events are indicative, not official warnings.<\/li><li>Live: GDACS (EC JRC \/ UN OCHA) Events are indicative, not official warnings.<\/li><li>Optional layers (21 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.<\/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>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><li>Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/li><li>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/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><\/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:\/\/grf\/R-P02\/research\/methods\/#map\" data-nxf-title=\"Disaster and Crisis Governance live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">The methods in use.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/disaster-crisis-governance\/stem\/decision-analysis\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Decision analysis under uncertainty<\/span><span class=\"nx-mledger-role\">Warning thresholds and false alarms \u00b7 Pre-agreed triggers for action<\/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\/decision-analysis\/\" aria-label=\"Decision analysis under uncertainty: 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:\/\/globalriskforum.com\/disaster-crisis-governance\/stem\/policy-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Policy, institutional and decision science<\/span><span class=\"nx-mledger-role\">Comparing emergency law \u00b7 Tracing recurring findings \u00b7 Mapping coordination structures<\/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\/policy-science\/\" aria-label=\"Policy, institutional and decision 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:\/\/globalriskforum.com\/disaster-crisis-governance\/stem\/optimization\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Optimization and operations research<\/span><span class=\"nx-mledger-role\">Pre-positioning relief stocks \u00b7 Evacuation and relief routing \u00b7 Sequencing recovery investment<\/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\/optimization\/\" aria-label=\"Optimization and operations research: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><\/div><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/grf\/R-P02\/research\/methods\/#evidence\" data-nxf-title=\"Evidence records\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-sec-pg-methods\" class=\"nx-section\" data-hue=\"systemic\" 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\">Methods<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Methods for crisis governance.<\/h2><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th>Method<\/th><th>Page<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Method\">Decision analysis under time pressure<\/td><td data-label=\"Page\"><a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/disaster-crisis-governance\/stem\/decision-analysis\/\">Decision analysis<\/a><\/td><\/tr><tr><td data-label=\"Method\">Logistics and resource optimisation<\/td><td data-label=\"Page\"><a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/disaster-crisis-governance\/stem\/optimization\/\">Optimization<\/a><\/td><\/tr><tr><td data-label=\"Method\">Institutional analysis of mandates<\/td><td data-label=\"Page\"><a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/disaster-crisis-governance\/stem\/policy-science\/\">Policy science<\/a><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-uncertainty\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"band\" 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\">Uncertainty<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">How uncertainty is reported.<\/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\">State assumptions<\/h3><p class=\"nx-p nx-mt-1\">Each analysis lists its assumptions and the data it depends on.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Quantify where possible<\/h3><p class=\"nx-p nx-mt-1\">Ranges and confidence are reported alongside central estimates.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Validate and compare<\/h3><p class=\"nx-p nx-mt-1\">Models are checked against observations and, where possible, against other models.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Publish limits<\/h3><p class=\"nx-p nx-mt-1\">What an analysis cannot show is stated beside what it can.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><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\">Uncertainty quantification<\/td><td data-label=\"Definition\">Characterising and propagating the uncertainties in a model to state confidence in its outputs.<\/td><\/tr><tr><td data-label=\"Term\">Sensitivity analysis<\/td><td data-label=\"Definition\">Repeating an analysis under different assumptions to show how much the result depends on them.<\/td><\/tr><tr><td data-label=\"Term\">Model validation<\/td><td data-label=\"Definition\">Independent testing that a model performs as intended and is fit for a stated use.<\/td><\/tr><tr><td data-label=\"Term\">Decision analysis under uncertainty<\/td><td data-label=\"Definition\">Decision analysis under uncertainty provides structured methods for choosing among options when outcomes are uncertain and objectives conflict.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"band\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Where this page's references lead.<\/h2><p class=\"nx-lede\">The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li><a class=\"nx-link\" href=\"https:\/\/www.undrr.org\/gar\">UNDRR GAR<\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-10-sec\" class=\"nx-section\" data-hue=\"systemic\" 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\">Questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Are the methods open?<\/summary><div class=\"nx-answer\">Method descriptions are public on the STEM Commons. Code and data follow their own licences and access terms, listed in the source register.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-11\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-11\" class=\"nx-h3 nx-mt-2\">Around Disaster and Crisis Governance.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskforum.com\/disaster-crisis-governance\/research\/sources\/\">Sources and records <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:\/\/globalriskforum.com\/disaster-crisis-governance\/\">Disaster and Crisis Governance 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:\/\/globalriskforum.com\/disaster-crisis-governance\/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:\/\/globalriskforum.com\/\">The Global Risks Forum 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:\/\/globalriskforum.com\/trust\/\">GRF 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-12\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Disaster and Crisis Governance<\/span><h2 id=\"nx-close-12\" 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@globalriskforum.com?subject=Disaster%20and%20Crisis%20Governance%3A%20Methods%20and%20critical%20debate\">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:\/\/globalriskforum.com\/disaster-crisis-governance\/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:\/\/globalriskforum.com\/disaster-crisis-governance\/research\/methods\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskforum.com\/disaster-crisis-governance\/research\/methods\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Are the methods open?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Method descriptions are public on the STEM Commons. Code and data follow their own licences and access terms, listed in the source register.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/globalriskforum.com\/disaster-crisis-governance\/research\/methods\/#terms\",\"name\":\"Key terms: Methods and critical debate\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskforum.com\/disaster-crisis-governance\/research\/methods\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Uncertainty quantification\",\"description\":\"Characterising and propagating the uncertainties in a model to state confidence in its outputs.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskforum.com\/disaster-crisis-governance\/research\/methods\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Sensitivity analysis\",\"description\":\"Repeating an analysis under different assumptions to show how much the result depends on them.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskforum.com\/disaster-crisis-governance\/research\/methods\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Model validation\",\"description\":\"Independent testing that a model performs as intended and is fit for a stated use.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskforum.com\/disaster-crisis-governance\/research\/methods\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Decision analysis under uncertainty\",\"description\":\"Decision analysis under uncertainty provides structured methods for choosing among options when outcomes are uncertain and objectives conflict.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskforum.com\/disaster-crisis-governance\/research\/methods\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:8fbaf05736985e3c -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto R-P02 \u00b7 EVIDENCE \u00b7 methodsGRF dossier \u00b7 service level R0 GRF\u00b7Disaster and Crisis Governance\u00b7In development Methods and uncertainty Methods and critical debate The methods Disaster and Crisis Governance relies &hellip; <a href=\"https:\/\/globalriskforum.com\/disaster-crisis-governance\/research-2\/methods\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Methods and critical debate&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":94,"menu_order":313,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_buddyx_sub_header_visibility":"","_buddyx_sub_header_title_visibility":"","_hide_show_side_panel":"","_buddyxpro_page_sidebar":"","_buddyxpro_page_disable_header":"","_buddyxpro_page_disable_footer":"","_buddyxpro_page_content_width":"","_buddyxpro_page_header_style":"","_buddyxpro_page_color_mode":"","_buddyxpro_page_loader":"","footnotes":""},"class_list":["post-104","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/globalriskforum.com\/disaster-crisis-governance\/wp-json\/wp\/v2\/pages\/104","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globalriskforum.com\/disaster-crisis-governance\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/globalriskforum.com\/disaster-crisis-governance\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/globalriskforum.com\/disaster-crisis-governance\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globalriskforum.com\/disaster-crisis-governance\/wp-json\/wp\/v2\/comments?post=104"}],"version-history":[{"count":1,"href":"https:\/\/globalriskforum.com\/disaster-crisis-governance\/wp-json\/wp\/v2\/pages\/104\/revisions"}],"predecessor-version":[{"id":123,"href":"https:\/\/globalriskforum.com\/disaster-crisis-governance\/wp-json\/wp\/v2\/pages\/104\/revisions\/123"}],"up":[{"embeddable":true,"href":"https:\/\/globalriskforum.com\/disaster-crisis-governance\/wp-json\/wp\/v2\/pages\/94"}],"wp:attachment":[{"href":"https:\/\/globalriskforum.com\/disaster-crisis-governance\/wp-json\/wp\/v2\/media?parent=104"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}