{"id":1033975,"date":"2026-10-13T08:14:53","date_gmt":"2026-10-13T12:14:53","guid":{"rendered":"https:\/\/therisk.global\/nexus-agency\/?page_id=1033975"},"modified":"2026-10-13T15:39:15","modified_gmt":"2026-10-13T19:39:15","slug":"decision-analysis","status":"publish","type":"page","link":"https:\/\/therisk.global\/nexus-agency\/stem\/decision-analysis\/","title":{"rendered":"Decision analysis for technical assistance"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/nexus-agency\/stem\/decision-analysis\/ \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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kzUJXNk7JJM5gnPADW+FgiH3jziXxM1lYJ7wwKmEuw6TaIfcc649tO+0YfiD\/dnYm6U\/Spph\/yqd6Ab+8ZnYN2U4H4VdIr0TbuSyPU6np\/kGZ9XUqbfTtyhWeKn92hz4XTzCwuTWt92zIrXm3l6phq7UhbT2rzfXtX2l7prW3bIs30OqW5KiGgWLzrZGztvHyCFvJ7YFlCAqmGOttuSnUM0a7UVBd0CKRyb4U95B\/6xEacS\/6Nzthwt+cPiV41xHCQzhoQv3adGTi5WMu7Og6i4oMM2ZCfe0eOSXFIRnEQurfmA2\/jaZhDmqUODlPAEaMgQNNU33CDHEQwX+2lQZv9AJx7RqlY2rlwgTIXbuwkXiTwAwlOOtRn\/ECM3LAkjYvL6xJjpO7jV6YQNMD1vodmkYaOiobypHcdvEe8tzpynYGDHOXFaFYKmZOKCLjRBXC+LkwOw95aPgGMFnHjWVFHl27o2JPhU3Q3\/lSoJ\/u2MuSjC9uhW2ye1G2o8A692BKcA6YbrNrZo2YllbgSo4\/I0HpmoHkLp41Kmbl0xjgRRTdcv0p0tFEvWGRPyDadgBRe9PW7pWKhDQjQh2ql+W1u8Cru43ncDMcUCGEtbNZMPzruSktFus3sp7US14qVp52qTGwOnygw9wCzuhFTTR7+K36+bv9PVUbSy0HRK3vUwm5LF1Ff2N50KiH172iNlc9QF3N5x\/LD+VRyR78\/NlhHr0tJj8GMEbp63TiyQ8QY0K5Eho5mBk+iCNXvid2uN1rb9RisLi1\/OrR8DAJKy5wcM6Km5Y+eyZiaKMcLVJgcaQmltqtC2q6KfG5Kp9vLMsPjedQ4dx4xE0LKTCg1GSogRiMQo7XS9KcxcEWo2RCruJ4EIwtwnEGzgfqIub8\/5Ad0vBbj5ol66Xl8Iu+cVODbsw9866c5I+E8nQ5tNEdfOCvVk+PPgS5GKUtD9bMCp+ybtlidye9TrbD2qMp9nuRCiRV7IB8a8\/xlsaf0yKpsQAO\/mS5a8asf\/\/AKP7HuURuYCd8gyK9pVZ6ug+WYbo7\/RJz6v78F54\/Vj6YcXrT3XGmzHxz48yWv4dX66Uq9h4vafbMpS7X9w5e+8hQw5mzX\/4FS3KZgcSgkFXhvx0d4JgH1savGYKPhSJ5bPBSkEV3l75qO90PDnvl0MXOUFQ0KFFjSnoAJgQw7sMS4aLS1nGrDGWiMCvHtDGRhxIUTh+dlleE8VZLrKRjShszOAFW3GTOkDYXFqMB7dzxbp4ubH4mUr+AZguabs2ZC5rHz\/nIqTHwwUECndCtOJ22rLU4Uz+H2fd1TOXpVRcBNEI4TsCue1pMvtBTVzYQI8zCcroU2qxQZTrVVz47LzY46bZa3Nu7ZPFoXh8iPDxgDMX42+vxbks3lUo5Qkt91ay7FxLA9vWHz+j2pEBVOVr4R2uBiHSrGsi10QB7jLM7spLKIyBaxZymX2fDqNlCw4JCePnPF46XuB5NFB\/XQGF0J0z1I5lJl6xYkiSOJF\/L8yRgw9QnhnMMPydmZKx48WmX4nmfpZSWENQ\/O7Th\/s3Mz1d1vc2ymx3evUzMFc86h2Zl\/aqZ6kggb4djs7Ocdgynww57L1FjWPgaPgBUO18EUTidQVOUZStben8gvd11c\/wqbf6xAVtRfsrr6wSxaYJ6E3ef0t2SFyda0P2uQuqtsko1YuF9rnmL7WrDWfGvW1IjLbczqZM8jk2zBLYP7V\/AKqgZIFuK\/55fa+Nf251lV9P8O9rt+VL\/Zlsf2+Nvsetwo77XxsWC\/YpXgNH6Z3oWf34nNOtdZC9X47zhieT3Vh6a3Yy67tgRC1weg6itdkX9cjqh1Y0KAc2Rq2DRZcah3xkP8ZtsP64e6tsj\/3Ie7XGqgNTXSdSP3tRI6r\/Zags4T1pb1tA31cZKsrHugJV3y3gxSuffDZXKB0h1PB0X4ez2FL5jTrb4iaUv0G39+6s4YIss8QzSEGSoHohEfjqPfkb4LKpwzFWxUxFq7XVrmWan\/egUPWY1Qfb3KCaOH8RwsI53Qx7Yh4oTs\/CKLof+1jUXaGR4d8+MEFl2oA5cPs+5W7OmmkgvzyrQ6sh1ZLJFu7Un1HBO+waKpR4PAGHr+pY0PfZmK5JR4v0ZB43nqSvocYX6eXe6ZlP5JyqaByVi1Z7crBC3WO154nQAV0tYTqT5\/vgghoj0t6iaLXz9J3amBEV0mDFFyK44qJYWpJ3GvANixoT2zZs05kZZipmH3pEd33AHBRA\/+BdnbTFKkuo\/VUS8h+goh7Es0LOxMNCwx\/pDHSxOtGVfPdD3xd8+46hCsdireswS+MMZWheeGb6cKe3rBRZ86oaGICU3AATnTECcqk0Cwe4zxGi7OC9lT3j5QVYjnPMNT41eUCWyvmBlLGdFon8UopFFo3624O+e50D23Oc9DzofYF5\/nKnjiuycIkxitRiw76Kd\/LZGzEj\/WQAl5TTn89MMkCKBzWTVzCEqHRgsDnO6q9fTKE1jEztSZLQQsTA6w9UKrJoftY8A5lLCya2xHpopaPVs1VqcMebPP+M8TnqH5CTAiqH7a5+UAjQBKygIuSQrqwJ3MtwwuIruE6I4xwT5NbkagWkzFtvmdhs4CWzwhLJgDaOB6zhhgnNWZIA\/hjOTPDm5kRiA5dIOYjtmlpVBUfqgSN79SJjfg8PX5h1yHmE0Wc2HPfKoxsLqSXATr8am0O+kIJsutjW48aP61xa0\/F7qEPLdtF9IubifJAQexCyRhtxVXZ7bIqlbTdwYPwGFhK\/SWsS2d3vJCjY0Yy0KJFiLZeKnItGm4BZogbTbzpArqBPnbQNOlKxu3lm0FC+RxgSEV8HrTfjox3Kx4NctiJKdYxfv9EfRUonP0Swd0V5TNt67iw8uq5z0RNwbfIeLwlp7QUlnfBuCdivMcJ13fSjk+NpYRRVoa0kjGqGyOM\/pql8EXAJeTb+TVdw6DNlTWcIMbcOgyZ+H5+4P98DL0YCYQ2zSsUz0XjiODgwvtzoXkyiA53gJIngwSptxcSL4MkhcugBTIIGGOmgtpI4O0WULxUAYpXELxrQzSdgnFbUvKUNYSmtv2CHMugSVndHcJ3W0pq9veEsrbUma3fV3a89razChxe4OfuvPDxG\/d8lpzxKLdpG3KDhI9Muw26L3NVupGnBVpVmQNFIpvVTC5xDAh+CKzP\/oui6H9g\/zK+7ZYgfy3NkWErmGOFUsaaZzxMELGpDyBrODrEyaq+oSJdn1CuosXKoxXTP+ZrtQkh6V7nQXJkbHILeNUlSiXc0GpM9ASOgMt4St7KTTKMfTnZPjo+qXkfbUh0TrOJ7E9XYvsBmJp0YXPESTfd0VzbG8E+uaueI9Gosl+bTI67ThyVDlR2Qkc4HyWCCz2\/tNxbVrATTuTXHfEo8dBNSBSp+ENmnVeNlrFafq3O\/mcotorDboPCYIE1Z6Xl1QZ7j6elVI+UTaSu6vIUhSjmEBbImL+De2ByNxq\/N\/\/Y\/w3+HGpjX9GqFSfD\/uxGjghuXTr9hIlypsc7+XlnCSLkbVVCLjxipe8qWpUoENtewud3p23VAtqPTMeYg2rzi8XeIHJXQxEHChkIKNsNJuxFXqoACpR8v0BNDmou+g+2o6Eqo+iz17izUJV8dFnz03\/7jEE6LOXTTQpfur76+5fVHlvtVdYgWVN7KBr0q+13aO1QZ89b27ePVox+uAfgHm4IEbfOeF4IBBPl9E6qhytbPyPnFZugj4irTDOloJW1hp\/9KjUvSylTwrQR0Kf1EOfm6q1KklGVWz9\/4ti2guLqxqkXVeBB8QlrVHRUbYTWtyF054+h4thdfMvkJzVFxWoymzADlvnyQ7jI71VeRpXXD9Z3li49iwUuzhFptgbX4fKYvHDRTPEIEsulnJxMKUUTza+lsGW2+hx4d4p6tm+PMQ1nEk+HG8qYKOinS8WoJNQb95aYauB2aEOO09E9Er7OU8ucWce9STFyTxVuowUilgdbCYApmIYE7446yrj6R6YCmEK2TMLdndeLN\/FRaw5ooVrUlY122IvrJwFDwUi00cJN2BlPV3LrK+6wY3S1RPlyjzCkcGiGaxZQY4QUtyPoOIIVLiYOTcxF\/Sho\/JGHC1\/ptGuZolCt+eUk5vY1Ia07MAby++fANEf9ejrTdU+10mIrYGHLncd7vsiDTRntt\/wHJquhf4mVR5Nx5o7k6hrvVx42eXsFl92p25A1dyIwHOSvTH3OlMbksqMpQbficnpurDzkR0MTs7qyge+enfqpCzyT0IQoYtwZheakcl4klEQP728B9KJscfWcjwMcBVlgzQ\/dXkPz7hiqlAZdT\/3zknd\/uQx1hpR1Ile8MG0xjmIOn+kAsU0DKYkWt5M3325pBOW83ZHUH97pjVnFIFs\/CyUy1gtueMWszWu79Ih35kcVrdKMxrdm+QWM27O2H3tcwJmLzgVWOFqD9u7QR0aLWpi7akiMdZimM+tSk8fVjxZwWGlXrvARqiAJ7kDy6bvYcFfdAq9TfUhK1IoMfvfKELEYsru7NMNhmE0x0EOIZZtS83b7b3mExqhJzdmoPxHxoS9PA1pGv2EQt\/u0cciW+OyLQ34jLozoxKwN\/O0JSuxPP+6Mj5Hjzi\/Zss4uiQzX0fZmcloEz6xm86oTC1l8QQ3DxZVdXxgqkBYCXJDy+yuRoqVzzdTDDe6c7ekz5O4fIU4cgDbODend95cJXwabfV15prtxy85X2KZGb33nK7UZmlb1FC+vprMdLLv7P32lqvVyc9mdBA5ofstK15Xd8SIuQ2dwmn8mkyOG+cIU1Upva0lL3L5hWr1lCLtptVq+LZNq9VyPVme2utj8xRCo+1dEWo8rYAycJzFcAYCUrrjan07OD7DdMVibBt\/NEx7P+n61qQ47vdnuUp988CmOtAbKs0ToMni\/bxznsieTJVW4dz35aTsZf9vQ9Nhq2E5vyUcCpLChEb2EMNh42u+zIBIimnayvq5t82MhjFRYDZMg\/DuZkApU9OKd7iA0OLmLi8Rqu2K5DyPP5bZmLQjBfW3KlnoJ1tjN\/CWjZzbEjXDQltru9\/6cNozSvuNFPxFf3Zn+ok4UTtkogLHFILRF1ar+1mS7jN1UtjPdEgmvQIl1G2JaPrO4NcY6ImLKWP1Chvndga23H6Jf37OODQjcjvXDA47wGPbDEPbsga2kSPQHQwZkwPEdr+J4E1dUzFaX6zNezmz3N2q9VWYduwgm0Ip1r24cJcdxVk5tuQ8+iwtr71UvKL96QacKMfJ\/fGiZkW0Ey7zW9A+2z7qnkwprkDYrWv8hVi+q+6+aeHyLeoKCpqDWp0Jj14ZWi7sESjg4PxBB5fjsygytKzW41CXA+2rKJ5A\/UpMglM7H31uX7ehjKfs41tWGHV1iOTvGa7PxczzQfR7CgPjb4PCQhe1Qvm5v5v6y7uQqlZcEHi\/+VmSu\/T4mm9LF0O3Y46wrz2xJjjglK1OuR4okdN5N6yfkL14jf9o6+IN77T9d4M0md+GuUIy0GgJtKb+nmcXRiUKr+OqCi40RgTWgttp75qlIKp9N4Ua4qF3PgGOFQUL6ZSCqbjeOdxu72KwW\/89bMDrvz\/lxLnv2e9mvXfpAYjYtmi1geZ4NNjf7ByznAi8QCGjkonzm0Ynt4C0F9F8QfQTVYmxKHEtxv7apg8yWXVclXkegYqO82jjSywcX\/kFeO12nabV937D3LERWO\/HrIFYdMN+0IgMtzl3Gc7LQc94KAub5sTVDeMY6Y4qjtrDzgq8h2CpP3ZTDkqKMZvycKBPxaQhLtPZzvGdCttO5zQLWOnWkBUaGtGlacriCs5nCCpQxMRzT5YrUznV5+v3ssVTx\/1gy++2l99IMa48cOqAs+9q4JIEaH2KGD93pJl5cddEgVtJV21c4LmCdQ2TIS7wvm7Psc5nVFjFb4oFVk31HXfP888yI22fhbWo0FqtQWvtawI7N1owRAQEHRmH9y5QBXV7XN97BDr79I+v8UbP8pg94\/2h82P9Rr5IrlPOizN2LeYJnHVKVciyP+6Ryd4XbRxHT3InvIhvv2xsKm9lHKZ5vCRc8Wrhul2sSpgRbN4hLNjg2gjUEBciH6JZmYyZLg0eG8lvju6hkWYyKelgVHY\/UmdQ7WW6kjDjuMHwFOZ5dq6zWgM\/8ncbpn4dlLBuuba7E9JCVdLH2yikTzeHXMnxHxNs1Cf8m+jRaA0HFYM5lLZBpxH5Aadt8GbSySWgq0vNG4xoylJoW\/NA36E6wgmch0iSyXIMK1EW6OiQ\/RBQBy\/LYFD1EAh2JarCzqls+14lmQ2K1W3UtTiJcrOg1CkplgVzGDcwefmykqptP9WlUHch9y7dpz+q8Pu4cVyKgOE4UzZxvuwMOaxVIIYvk4SkHCb8UIOpwl2oi6w49NW7qHpgbe+rK9+LNX4juzACJH5e5k2TOBqqwAi6CQYdhPjylKA+ImVsKC821BVjbwwH9XH0xnDryXXGLw2fqD\/djrdNLr1pHXOgdkckxtEPKNN0PaupIAJwsuqyqsMd7LIY\/MME4KLC4SI4WQVjjXNdz8pthbgXkRDoKlHA1FJalDs5dleJdrZVayhj3wQVBOgyttYc355LHowH9BIG\/MCEhOGzFjJitt+c++ScSo5JrR0To4ow3Bn4gRiK2Gm5NcxT0v3ths2pYxuFVvtkCi9YJIOWdQ90uAC\/Fhf0573HOmLbuq+\/RcLcesmDUk7ueRizDOHlh4Fr7dujKUSWkPDhj8UxDIyjFSQZyAcPaJxVcQ4NQPyl549pV6vgF31Cl8Hjsop\/xCu6XdaSoAG+8\/bMBI2N9ZMRWj8hLEL\/J8OxflqT2J1\/QpoJ09vG+okNA7gbUEoh8H3VtfJYsKszHYeXz6BAOVBL8yLlzngWutw1r6O1d3fUXWfZKiSmjolCfBPdt7rovewNNlOwok3oC0kwwP1q4zG46+SlqdNKpnqpyvf6isrSdJe5jRn2LR1Iz3lm\/Gzk2fU+xhce9jNYa76YZG96igcu2CrRPvT5wCZ8MOX85y\/BI6QWkmWFKwT9HzMGPbUhbZksB9uWZuGMEJ8pBMyHxw3jbisRmymomzWuwb7i6jVrd9jq9Gvt11k3xZjwwECncgN1DiLUTZxf79Jy5tWzGSERjzeDW1YcYZU1MpYULrHkUZlOcJvC8e2qtYAohXmvsVdOkeDtqhkmTk8mXWBqclgGuN5El7Qsm6tEILdZ8fwGpCtxfwtHqypl9b7OIqSzEFMj+CwvjVCYmqs6MzsFZqKD6ZI+1k3dfX94L6vXCBbx8YHvmlUf5blKm6\/vvdVHme63khQmN7yR8iPICDE+uMDRFxwAVVzAEUNa1mlaDPYhQ61\/BRSf70dYwcU+m0V6AlWxSwPp1ubLXUPbn2S9aSnJK7uysKIxuxasGz0Ndr+08A8uLaGQWIFnjZMf46fOb+TTG38ohorKR7InGo1dEDU0Y1DJSvTvJZcJJ1nV+r2xDf9yKvZdXS\/Gy0T74fADtjyFF\/Y7VHiXG72DxVo2o7m2QFutFSuonH66FnRb2VtTpG6V1yvd21hddUpRVeQT9KqrRu4Ah8rN8TuOWJoxGF3VuN+mPHN8yhyp2vtXpk7jw3mrX8+ofuH5wxgpTTb0X8FcHoYnQ0O3LuWtUXt\/42PCfp5UNY9l3fwGRxtvwdGm5TG86WsUPxqvkCMplez6jLhYJgHej59X3XOEKx76\/QnYz+wcsfUJbUu9NJFI4ACwoQSqxgdVHgiR88QGhr5Il6AyfUOL9OueVQzHWiqbOUZaz5KicxtzPR7Kpd0dSoGxJjyJX4IDtVbxn0ix+V\/f3PPHaFwpKlxGAi\/A2wtXwowEohSvc2qZocUr3e9vQ6EtgYXvCJVGgPc6kEPnYg+7FAm0QtvGG6yaLAZ5Z2BARTv\/ZuwvDB8FNRpNRfhihBrrm2jJqR7zOHcZwsP03RN1iilGBrGfvSTQqWXA405GcxYoOi6wiVCWbrvWkq9z\/43QdJazSGg9yII7KpCswd5a4LCZsBjPEUTjQ6bYbFTK\/K3kxzjWSkO9otktwmEKm0kxoIvXV6z8vjYiBZyeukXz0wPVJMDw\/th4FeNafg\/ltP7BC+h5M6k\/7hHit3daKsxtgTvbdEgNqW5A\/DpEc1GVYq0fdwJp\/Izg8rXfxhYSqvk1WUAXFXvEJzX+pDJpkaHtlFZ31GvthOcKNs3nCF7n6+SlMaEUTSsYq0kpxypA1xFpY0X88OtxYo7cqqjSZAPLGu3vZ6OrW03txE9bWVV75oaj6UqwnPl8ZEhM+a+Rd47ulSJgBHKUJTh2z94HDi+\/1FeJ5ZGyH8u2+\/56ATbxg9SFntjT01dcs2g1dUtM+jpaWLUbwLkqk+ss64e9qB\/svdIyWxNTcqCqlOcoLj9EHMZ4b7DjKGDFYPrK2L1x7sWYiEcQSZ4UvlZ9rfEaut5aRML9ocRizF8ogvek4L0fizFzfoy2bdPcX8367aBK1KBL\/kzCwhIf32jJp5UrmsYfJiqRula+kUe5Wc9i6G1rS6PCkKfZuevqusBuyPWkCHSmhhTPGxJvHAwsi+\/3DM6w0uj5WDZLyMlbN7jeC3iY6LuG4Mo1qiGYQhgUCd8KPetyDajHcQlqITVFenkR3cGvJdqPcAfYHSOAbSW3kIIiyWzwRq9OpfpqyS\/SDtOTztCwHREX\/OIdEKky5P9RjfodNOKgnacOJ1xWKEaCGzuH6Kd\/LZEzBD\/WQMJs5qNhj6KhvrOKYcasgVdx4ToSvmrXlXYKEtXB6FzfqY8DuByEUTCgOLEkElLdAfK1QWEI7aSoW0aX+jpbLh5gIZ2TCRGBNe+3qzBiYnfgx+xpgTOP2VXCjlUhLAoNcKggyVVnNTuS1ewbExjjrVtTSMql2eRyOYJf5VwgiC031F3Fkz06ml3agWaX1lO4n3PjNUElzcsysXTHH2gAszWBOY4GMG0yTQN7VwrjkfXk7NVXf\/N9UFJR3o9sl5POnD81cyjrc4Z8dGYLi7KKsuZO6oMztc7rd9Ac+eGAONZbEfjFucseflx19yqH1whrezUJnYSsfX+w0Z3VXHtnRntH0t6d0d4V2x\/ntPck7f3VFHdWzdE4SyZVFomKj5aUvcrfqo6W8w9Xqgt7uSZr\/TOG6mqdkSPRcBnvRMYuxAWyzOjAp5wyJRSEXNmxoBi97YntW8h25W15kutfFTc99ykKL11fVDJ3VqCbELquqatVp7JqszYFnrRj064r+AZBbriBaMpHp7xTjWpyHmeloPPoPbn+rSb56ZHI7eL3KPPDX6NzzrPm4eXLrqLxmSyYDX\/Xx9IbEuSjmL5qSbIEr6YZnyrzfKnOOTTt3aMLXMvf7pnHzu7Rh1689dnH7u5xG4RuYrGPvd1jEsZh2r79CwbqeYEfk+8IWuQB1yXf3d2jm\/i+uyHfvd2jH7vABeS7v3v0gGf17YPdo7\/xHQeS75vdo5P6jm+R7yH63U3771vcHrhte7NIdo9uhD7t9xqC3aMV2bYdtg\/i5mP3aCd26jjtA6R97x4d4MRuC5NcAMI2w4ra7jFIIwuSrioI091jaoVxSJ5cqggUu8doCzZJ0D46NcXuMba3IIjGeAGn1n5\/yJG95uFFmLLIjRPoClMWxtsgDoQpC0M\/ABthykLbSjfxMGXxNtnAcJgyuEncKBymLE6hS6DjKYNhvI23w5Ql2ziFwTBlMIBW5A9TFgfQSuAwZdCJoyQepiwJkiAOhymLERFDasogTN10Q00Z9KAHmSlL3dSBkJ2yFP\/DTJmTbjyCGpmyxPNDHzBTFkR+FAJqysI4SLxAEIZtYG0doylDNb4Px2ZUUpF5RYbV36f172taxxScvtZQBU7n7w+\/XEBOps60d+2WS8\/iqoXsiD855CdX\/MklP3niT95Kgdh12MKM4iM+GX\/swsnQFrBXloEjPnndAldUVLgCoc6fgKp51Q04yHIl23lfTdI7JkDo+lQ8+PbNX8vyBJOXa1Ne4iMpOaKMkmlBC\/6T6YEZBLXvDye75YJ+xkx7Nau9w7d35rV3+fbuvPYe396b175IeABFMg9C3HzwIOLmYx6MXzgIv8wl46WKeCSwoJgHJa95IKdmJohDDngYakutFAoSezwY9Gw1sRJwKaGT4OSZXqtU40MFFMYUWdwbb88IcGBr3JSVCdMUxm1tO7OOQY7CDNvX9ZC5FFlTt6dzFo9+CxG73wxXYnOukGmsmPg42qBj2IF2nBU3hl9sbjJ+UQsZuqkjNHV0m7pCU1e3qSc09XSb+kJTX7dpIDQNdJtuhKYb3aah0DTUbboVmm5XM9iaFO5K0xfR\/ER0ptXcVdLCPJaNpNodG14kmHbHjUNdZ4cB47am7dD5SiuSl0MbCRJ66HJxwxtz+OW+HZY7bQL3F8sAPeTPudHWMJIanzgyq81iJnXL3\/2w6\/6I5xnmVFziTPPIwICYRdDsrgRWzEwwWV7SeQqme2vHmINIFUtRg6JmYilwmShlKMVN0+iP7j\/aw2lr+DFLan8GWdGYRM0nuxUpi2jCN1g09Zy113VCVO\/W9s9ls2hDOg9\/xlfNuEVeZYlBDjWFwTh33mv5tNi0hRRnBOng1FAlH8kmUVBskK4m8hRrWI1PjCNio4xxG1kupBCCN\/BrV\/pgxsoTuAjXuShTs\/k8w2\/Fz9tFWwM\/AQRVRYEEDCAv4+vYTau4+ja5gMGiEtVdOn8C13bqw0a9udXUxYze6erSc9dwXsYd9cu4lun5S70t1pTIZbrOpRtfktUoCDER3aGjte1E0CkHWr5fiH76vbjR6NQxdsYFtmrNqaNbO3ZkmX+ZPpdkp9axqU\/PcWCorO6yDdnT3f7TV\/MVfgrVe39fub+v3P8vVy56W3VBTP\/mM31HAp2vgfmauafCGky5NyZ8xrI6+6MhCYsq\/7\/ydXVv8jSP24DELCw5hPT1SqJfdo925MQecifgaJbdo+N6mw0g313kbghA5JLvyIeZbGPsKUHf\/d0jCOMkDdvvR+QTjZzYTsh3Z\/cYxJ7r2OS7i973gUPgH5Enxtps3O59H3k8ImcD2+8xgrcNN5DgFzvIU+NvHdJ\/7O4e7e0Wbizy3UOeoBAdV9rvyLPj+3ZI+o+D3ePWCn24bb9HlrV7dCIncmD3AFEk9aDvdA8QSUAIsKcTPbAt7Ie1vLR7YO8evciLNmH3wEHu5k0KOqCOtXvcxt4Aw7F3j6HrhyDpHji7x00SxilBvHXebqytRZq0HiI7tIENhyfO7tG2bMfuyIOCy5EXOnCDru9WyD+6gRt7XvsMWTB3j7ZjB3a0H4LxkDs5DKKkA\/8K0UuO63bMcAQJ3FWHCHyz1vjztMHeHvQ23mTwb47vr7t\/UXES8sYR5CVyLFuxRVDDIVo7yaXQ+y7UbTdySuhD4XajVpAhQmknzfPts5l245te\/46zm9xvuui1nVpAtwMv6wFgu6m\/dd2h4N3hxxhc0GImvxXwQP1UZbgyQk+NtBx+RN\/ID53gYY9m5OlaYgkg7ZABdxdfoiw2I\/hrBqtv1pODp91GwR6UQy59nXbI8XlbbRzjHKOErMqL50+XW2djDATpl0RwmwaD9ANBHMFwkH5I2iXeIP0cECRROEg\/K3HTMBikX5rAbSctkfRLoygNkkH6pW4YeeEg\/ZKtbzvpIP1A4HhONEg\/B2zCJBikH4yC0PUo6ReBtJPWSPrBBNi09IPhJgLeIP0Cx7c6eFj6wRB9KOkHYuSZpqSfD4gru5N+SRoNMJD0Az5IEpeSfn6wDaMtJf0iGHiAkX5x4ABAST838rZbj5J+EKZO6tPSL43TOI0Y6Zc6qdPJTCL9wmjrA5uVfnEQxx2CrfSDNgwgK\/2CFATdsFrpl\/jQTx1B+jnh2g3XvrO2nvwp+bfxGfnXDuF+wRW\/8\/Pv\/Px3wM+jaubgs63ZSAJl6DXTzhHaOVrtXKGdq9XOE9p5Wu18oZ2v0+4o0OWoRZejQJejFl2OAl2OWnQ5CnQ5atHlKNDlqEWXWKBLrEWXWKBLrEWXWKBLrEWXWKBLrEWXWKBLrEeXQGgX6LSLLItvGFmWXktbbGnrtXTEllqzEdkitrYetraIra2HrS1ia+th64jYOnrYOiK2jh62joito4Xtuaz5luey1mmJDid8U5xtqNG2gAe+qSIbm26JDjN8U3zA0WgL4phvilKMtHp9FTt91WwpTI0ysZ9ujI6bfGN8BNVpjJQIvjFWLPQmt4GVOLuK2CzUes6d6Ej2ixfKKMuW4B\/b6760KpVZ3S1HfO1w25u+ZGaa1Bj\/rDhwV9jim2JtwzY8Z7x0KKo\/gZMXhtLakvPvcGJnPaeWRuFVR150yOer+XR51nQJHys+juNdX6Iea4\/YXjXuXRmp1rJn\/LKqftGtf1NVbvrC2h2CbS0btnA5X95c3aV+3eO+8774sUfbqS1DVbe7L6cjca4wFXYkdW9a+4l+OWIysudo4vqjaVFFAo\/r6UroPXEklBsHHzWFPv0FmcDPC12YGrvDqIXrOuxc2db0ZDma12wNGajjli\/5hTGknhJ3r6fy5iC6QiGx3K3Wip9GC7h3byhnp6vLPuN2oKm9E4O9R411ZQ9\/QXllJvw4gyKBSVftTVpgvpOQs0fxjMLtO\/ebRxee9PrQFyZyh776TqyscY9CJmhJw+Ii8x73PrmgdSTHII+\/obJKxs9o9ay6stQWvWwcFEojux\/Cw3sAd4\/EvdeTepBGdGmaslAVjGIvu1fefc57ucU7mjTWMzJbCxcv6Tn+2UEpa4Ryry6\/yKvjfJ37u7pO6xPIc57mN9ZuQyES56yeVbuNvwZEfonJCItOVr1T1lDbOAqPeTcWNfYef4mJEhhxOLc1AdSA3WWA\/UnAvua1Ky1kmcLAqNHs5SeORaoUjqaOt2BNJec5Ms3UXcKKWNrOObqwlx6ibSwcKpxjceupNizU5dt1xgkh0Dgh2NITgjN2QMDgSDq2WVxOsMrindGA6JKDCj2o1fhfrjdWiiRw7lgq8uYxJSSNvSwHFYLvSmlOEaGkIK9lYJT2ERpMklXfHy7nh5e+bnivED\/8p+P\/o\/OflvVfrAeaSKGkuL49xY90d0n5Xox2+E936PCc5fmCk9g0xy04OyFcnrNOsaMPfIF4sY9v\/STXYDoOxOYC9b6KOuxLE6N4ohNE9RyytX6L8hU1uMp1KSWDCqAKCKqZvbemwrH+1UZDCQLl3NFjc+NY9+qFJcBqDZBjwNSmSMm8pKkAjEo7VmnMU7JSv9qt5JI2xTYr3pVNbdZtMJ5jadvXVhMdzTYS9jutjokw7Iofk524R1Z5fGwRW26\/s+UXJ8nMdSOb8fISvoQx2EsgTyArzDpL4LiW1\/NIyFR78flqL46iNjoyHqLa6jxXYoYjszjMFrbzalzHJy8LTJkVhdLAkooAU8FHyr7bE9ZV85TUN7jFvOGJO42SZYdw89P3B0T1hxexTFprgNQrKsXDBB9ZPQbTWQoUVQMTq5Qtvy7tFnWPQQxXc1JjRqufmlCrEbBUfNxgBdaE+TYNU1uTvisFswL2WEnS1+I1I\/BGq47yCatSG9ksnIhaC+pjr9JL6xVrl75VdfP+\/aE5ZsXQxxCtrwsOVBBw8ysQT6emJg83av2H2nADxi7dVwII51iUJQj0ObLdbKznty6LfirpIm+6lHibSQor1AT8ywXMgruZQbkZIkpbmJxA9YrcwgY2f4wuWORUXy1eHqdxibVUYNFq1nRS6VjBUG9uqjI\/sgQdXMZmmybaFCa6jHtW9Fd7qxlVveVrOxDXtr41W8CUX6vruU0pIXHVKSauS8YY5Hl5aVQsyRib\/p54rigbqCsFbsDT1ZYhOQQJDi2ZX7dZW\/pVE2yvy8y6amoFZHrqxPGWZbGyKGRcKyeEtBSzLjcnGTjoa+qzqo8Lo4J5rpgK+\/5T8Qbuu3MoVd05Oa1SRLsSsa9D2cs5N6TwMI+E3stEMGnNS2F+NtcLoMWXagzcXQU10ym1GyzqVFfcVOW7NlXi8ob5yQb+mK5MKPRclXUt19xGhn+TkOm6k1T9GTnZ3UvnQQX076b1LJspmBx0z7at0JXkavu04h\/M6rhbc43i\/OoaLt2BN4O4h8UcTForlmc7eesF4GQCi7CCloTRPp60QAXniu6dDbUnTrbu9Bba9qGblbkx88rSHS\/JTrIjuKN7Uk5QatwipVGqwGhvKPCjFOndRlHv72vrbLsizPw+GCy46hNt8rBZl2mz0roxQ\/\/gfSlicazSyzosvcs6blMe8b46vrg7Y+l6NjSp5KkmrQ7UgU5nBNgT3c8ie4UBhmu4kmBL1d0FyFXaXiPAL3Uh9Hsk3IEOPSOht\/\/wCj\/TCpxg3SN2TavyRF\/W0JTDN1vl3IEHuY9eGqbNBNw6XxBtq0T0mQQH0jHByHc1GgO8LCCQOmirInwl8QdfGvWrQxoS2jsv6nVo3gbYnitY13R8rSz6kJRyMKODeC1895tut7e71pTm0LjJ9Vhcfd+uNdGHmd8hWAq5UqsyX3wzMM6dsJk1gRxP+lcDj6OWwwMskqWIoawTHEKtF9KplT4xhavJ3g7kjMeUkVACEi2t9NS9ws8FQU2MyGJTTGhpNSKaaCE0fNMLgGqXGIU8L6MkIpKSp\/IQRx7oPLkjtP6i9c\/3w4m3sai90TWqB+85YxxWSk56zgReYgPe6QJwtiMGELjS7ZQ6rLaD0YtZQ0Nqz0hHcIad0\/M5u\/acKyJgT6wVBiDSKRmAbAUwNN\/oFZiMmR2EBcLfBTEDlzYi7TpUBO0JHUpDAvVBV1lxoGFjnaSfRWs64JBNvEAbCbMOeLLoYxaVH0Lo2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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-n2qz7x1n.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n2qz7x1n.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n2qz7x1n.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n2qz7x1n.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n2qz7x1n.nxe :where(ul,ol){padding-left:20px}#nxe-n2qz7x1n.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n2qz7x1n.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n2qz7x1n.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n2qz7x1n.nxe svg{display:none}#nxe-n2qz7x1n.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n2qz7x1n.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n2qz7x1n.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=\"workbench\" 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>G10 \u00b7 METHOD \u00b7 decision-analysis<\/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 Agency<\/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 Decision analysis under uncertainty<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Decision analysis for technical assistance<\/h1><p class=\"nx-tagline\">Decision analysis structures the choices technical assistance raises: which expert to engage, which engagement type fits, whether a declared conflict can be mitigated, whether to deploy to a field site, and whether to continue, rescope or close. It makes criteria, weights, uncertainty and value judgements explicit so that the holder of the decision can examine them.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/nexus-agency\/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-agency\/stem\/\">Back to STEM foundation of Nexus Agency<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Method record<\/strong><\/span><span class=\"nx-eyebrow\">decision-analysis<\/span><\/div><ol class=\"nx-register-rows\"><li><div><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Decision analysis under uncertainty<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Steward<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/risk-management\/\">Systemic Risk Management<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Applied in<\/span><span class=\"nx-register-v\">Nexus Agency<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Data<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-data\">5 inputs<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Checks<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-checks\">4 validation steps<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Canonical page<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/decision-analysis\/\">STEM Commons<\/a><\/span><\/div><\/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>Uncertainty analysis, in outline<\/a><a href=\"#nx-sec-application\"><span>03<\/span>What decision analysis under\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-field\"><span>05<\/span>Jurisdictions in Europe<\/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=\"project\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Decision analysis under uncertainty is a structured method for choosing among options, making criteria, weights, uncertainty and the value of more information explicit. In technical assistance it frames which expert to engage, which engagement type fits, whether a conflict can be mitigated, whether to deploy to a field site and whether to continue, rescope or close.<\/p><\/div><\/div><\/section><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"finance\" 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\">Uncertainty 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-agency-method-uq\" data-cx=\"agency.method-uq\" data-variant=\"section\" aria-label=\"Uncertainty analysis: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Uncertainty analysis<\/h3><p class=\"nx-fk-sub\">Agency \u00b7 Decision analysis for technical\u2026 \u00b7 Run R-5933<\/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>Sensitivity ranked<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Nexus Agency<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Total-order sensitivity<\/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=\"Total-order sensitivity\" data-fk-chart=\"cx-agency-method-uq-c0\" data-nx-z=\"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\"><\/svg><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Output distribution<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 210\" width=\"460\" height=\"210\" role=\"img\" aria-label=\"Output distribution\" focusable=\"false\" tabindex=\"0\" preserveAspectRatio=\"xMidYMid meet\" data-fk-chart=\"cx-agency-method-uq-c1\" data-fk-xs=\"lin,0,23,36,446\" data-fk-ys=\"lin,0,100,180,20\" data-fk-series=\"Median|acc|l||0:43.2975149191916;1:46.34512344039977;2:44.72592219784856;3:46.916850128863004;4:51.90118472147733;5:51.13030337076634;6:51.19471911378205;7:50.375966096110645;8:52.99036056473851;9:58.093206595722584;10:59.47859331499785;11:60.003003334533425;12:60.65304632140324;13:57.591669839527455;14:58.34378819642589;15:64.96915041934699;16:62.05812048111111;17:64.54629552159459;18:63.3214743190445;19:63.47768451934681;20:65.0925858146511;21:65.92444946980103;22:71.9374856187962;23:71.17527888547629~Sample spread, upper|s3|l||0:49.2975149191916;1:54.54512344039977;2:55.12592219784856;3:59.516850128863005;4:66.70118472147733;5:68.13030337076634;6:70.39471911378205;7:71.77596609611065;8:76.59036056473852;9:83.89320659572259;10:87.47859331499785;11:90.20300333453343;12:93.05304632140324;13:92.19166983952746;14:95.1437881964259;15:99;16:99;17:99;18:99;19:99;20:99;21:99;22:99;23:99~Sample spread, lower|s3|l||0:37.2975149191916;1:38.34512344039977;2:34.72592219784856;3:34.916850128863004;4:37.90118472147733;5:35.13030337076634;6:33.19471911378205;7:30.375966096110645;8:30.99036056473851;9:34.093206595722584;10:33.47859331499785;11:32.003003334533425;12:30.653046321403238;13:25.591669839527455;14:24.34378819642589;15:28.969150419346988;16:24.05812048111111;17:24.546295521594587;18:21.321474319044498;19:19.47768451934681;20:19.092585814651102;21:17.924449469801033;22:21.937485618796202;23:19.17527888547629\" data-nx-z=\"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\"><\/svg><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Inputs<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-agency-method-uq-t2\"><table class=\"nx-fk-table\" data-fk-table=\"cx-agency-method-uq-t2\" aria-label=\"Inputs\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Input<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Distribution<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Range<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Source<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-agency-method-uq:r2-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Requests received<\/td><td>Beta<\/td><td>requests, stated<\/td><td>expert elicitation<\/td><\/tr><tr data-fk-key=\"cx-agency-method-uq:r2-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Teams formed<\/td><td>Uniform<\/td><td>teams, stated<\/td><td>expert elicitation<\/td><\/tr><tr data-fk-key=\"cx-agency-method-uq:r2-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Experts on roster<\/td><td>Normal<\/td><td>experts, stated<\/td><td>expert elicitation<\/td><\/tr><tr data-fk-key=\"cx-agency-method-uq:r2-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Conflicts declared<\/td><td>Beta<\/td><td>declarations, stated<\/td><td>expert elicitation<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Uncertainty analysis: the screen's structure, terms and states for Agency.<\/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=\"project\" 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 decision analysis under uncertainty does here.<\/h2><p class=\"nx-lede\">Decision analysis under uncertainty provides structured methods for choosing among options when outcomes are uncertain and objectives conflict. It makes trade-offs and value judgements explicit. In governance and institutions and development finance, decision analysis helps choose actions that perform acceptably across interconnected risks and uncertain futures. It clarifies when to act now and when to keep options open. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/decision-analysis\/\">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\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><circle cx=\"12\" cy=\"12\" r=\"6\"\/><circle cx=\"12\" cy=\"12\" r=\"2\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Multi-criteria assessment of expert fit<\/h3><p class=\"nx-p nx-mt-1\">Competence, context experience, language, availability and independence are scored against criteria set before profiles are seen. Weights are disclosed, evidence labels are kept beside each score, and sensitivity to the weights is reported.<\/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\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><polygon points=\"16.24 7.76 14.12 14.12 7.76 16.24 9.88 9.88 16.24 7.76\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Value of information before deployment<\/h3><p class=\"nx-p nx-mt-1\">Before a field assignment, the decision holder asks whether a further security, health or access assessment would change the decision. Assessments that could change it are commissioned; those that could not are not.<\/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\"><circle cx=\"6\" cy=\"19\" r=\"3\"\/><path d=\"M9 19h8.5a3.5 3.5 0 0 0 0-7h-11a3.5 3.5 0 0 1 0-7H15\"\/><circle cx=\"18\" cy=\"5\" r=\"3\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Adaptive pathways for continuation<\/h3><p class=\"nx-p nx-mt-1\">Programmes set signposts and triggers in advance, such as counterpart turnover or a failed diagnostic, that prompt a review to continue, rescope or close. Options that keep later choices open are identified early.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"finance\" 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\">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\">Adaptive pathway<\/td><td data-label=\"Definition\">A plan that sets out decision points and the signals that would trigger a change of course.<\/td><\/tr><tr><td data-label=\"Term\">Structured expert elicitation<\/td><td data-label=\"Definition\">A formal process for obtaining and combining expert judgements with their uncertainty.<\/td><\/tr><tr><td data-label=\"Term\">Risk register<\/td><td data-label=\"Definition\">A record of identified risks with their likelihood, impact, owner and mitigation.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Jurisdictions in Europe.<\/h2><p class=\"nx-lede\">The jurisdictions that hold authority over this question: countries, their first-level divisions and capitals, shown for Europe 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=\"europe:governance\" data-ramp=\"qual\" data-basis=\"case\" data-focus=\"0 0 2000 1400|1176 0 2000 917|1379 923 1852 1197|1254 676 1614 923|210 975 861 1400\"><figure class=\"nx-fk\" data-fk=\"map-europe-governance\" data-ramp=\"qual\" 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\"><figcaption class=\"nx-fk-cap\"><span>The jurisdictions that hold authority over this question: countries, their first-level divisions and capitals.<\/span><span data-honesty=\"true\">Boundaries as drawn by Natural Earth; no position on disputed areas.<\/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\/G10\/stem\/decision-analysis\/#map\" data-nxf-title=\"Nexus Agency live map\" data-nxf-height=\"560\" hidden><\/div><div class=\"nx-map-hud\"><span class=\"nx-eyebrow\">GCRI \u00b7 Nexus Agency \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=\"finance\" 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 Decision analysis under uncertainty 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-g10-stem-decision-analysis-ipcc-risk-t nx-dag-g10-stem-decision-analysis-ipcc-risk-d\" data-nx-z=\"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\"><title id=\"nx-dag-g10-stem-decision-analysis-ipcc-risk-t\">Decision analysis under uncertainty in Nexus Agency: risk as hazard, exposure and vulnerability<\/title><desc id=\"nx-dag-g10-stem-decision-analysis-ipcc-risk-d\">Risk arises from the interaction of hazard, exposure and vulnerability (sensitivity and adaptive capacity); responses act on each driver and leave a residual risk that is monitored. 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=\"project\" 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 decision analysis under uncertainty 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-agency\/research\/\">the source register<\/a>.<\/p><\/div><div class=\"nx-section-body\"><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\">Competence evidence with labels<\/td><td data-label=\"Role\">Scoring inputs<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Structured expert elicitation<\/td><td data-label=\"Role\">Probabilities where records are absent<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Risk registers and incident records<\/td><td data-label=\"Role\">Likelihood and consequence inputs<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Cost estimates and budgets<\/td><td data-label=\"Role\">Consequence of each option<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Evaluation findings<\/td><td data-label=\"Role\">Retrospective evidence on similar choices<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"data\" data-nxf-kind=\"data\" data-nxf-resource=\"nexus:\/\/gcri\/G10\/stem\/decision-analysis\/#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\/G10\/stem\/decision-analysis\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-checks\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Validation<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Analyses are checked through sensitivity analysis, peer review and stakeholder scrutiny. Retrospective review compares decisions with outcomes.<\/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\">Weight sensitivity<\/td><td data-label=\"How it is done\">Rankings are recomputed across plausible weight sets; choices that flip are flagged for the decision holder<\/td><\/tr><tr><td data-label=\"Check\">Evidence and preference kept apart<\/td><td data-label=\"How it is done\">Scores record what the evidence shows; weights record what the decision holder values, and each is documented separately<\/td><\/tr><tr><td data-label=\"Check\">Panel independence<\/td><td data-label=\"How it is done\">Everyone scoring or eliciting declares interests, and conflicted members recuse from the affected choices<\/td><\/tr><tr><td data-label=\"Check\">Retrospective review<\/td><td data-label=\"How it is done\">Past decisions are compared with outcomes to test whether criteria and probabilities were sound<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Results depend on elicited probabilities and preferences that may be biased. Deep uncertainty can make expected value comparisons misleading.<\/p><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">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-agency\/topics\/technical-assistance-scope\/\"><span>Technical assistance scope<\/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-agency\/topics\/expert-competence\/\"><span>Expert competence<\/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-agency\/topics\/team-formation\/\"><span>Team formation<\/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-agency\/topics\/institutional-support\/\"><span>Institutional support<\/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-agency\/topics\/research-and-field-assignments\/\"><span>Research and field assignments<\/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-agency\/topics\/conflict-and-independence\/\"><span>Conflict and independence<\/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-agency\/topics\/volunteer-and-professional-roles\/\"><span>Volunteer and professional roles<\/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-agency\/topics\/project-closeout\/\"><span>Project closeout<\/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=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">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\/risk-management\/\">Systemic Risk Management<\/a> stewards decision analysis under uncertainty 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\/mathematics\/decision-analysis\/\">Canonical page: Decision analysis under uncertainty<\/a><\/p><\/div><\/div><\/section><section id=\"nx-s-12-sec\" class=\"nx-section\" data-hue=\"project\" 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\/mathematics\/decision-analysis\/\"><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\">Decision analysis under uncertainty<\/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\/risk-management\/stem\/decision-analysis\/\"><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\">Decision analysis for risk management<\/span><span class=\"nx-dest-why\">Systemic Risk Management 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=\"finance\" 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 decision analysis under uncertainty in this field?<\/summary><div class=\"nx-answer\">Results depend on elicited probabilities and preferences that may be biased. 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