{"id":2076,"date":"2026-10-17T07:05:04","date_gmt":"2026-10-17T11:05:04","guid":{"rendered":"https:\/\/globalriskalliance.com\/insurance-nexus\/?page_id=2076"},"modified":"2026-10-18T15:02:57","modified_gmt":"2026-10-18T19:02:57","slug":"stem","status":"publish","type":"page","link":"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/","title":{"rendered":"STEM foundation of Insurance Nexus"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/ \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\">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<\/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-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\">vX0Jd9s21uhfkfH6nRAWBC22HJc0rc9OnDStnbhx0qRRNTkQCUmMuJWELMmy3m9\/5wLgpiXxdOa86ZkIBC62C+DugI3RLHSEF4UGXnkjY+6FbjSnX7+GixsWX3vDhONVwsUsCdf3LKn9xm10Qn+mbWTB56\/cRhMh4tRsNh03pN9Sl\/vefUJDLpphHDQDFvvQSGPs\/y+q\/8brqOl6qSjnq5Z+5\/YK0eBbikyUTline9K4u\/n88JHxP8fsePS2ftq5+FV87L4eL9zbX16+fffq51CcOFcX46PX365sRFAjnbCEu9U2hr+\/O42efx6P7pwgvXvlfYxef7n8M\/SGp+2Hz1efTttXV88\/\/9m+Yr\/PZRvzKJnypNrGUeuuFXb\/7nS6x5femA0XDw+zv4+6d\/Wr2WXz0+cXp9FF6Ex\/b\/0RXkAb1ElLlb95ned\/P1yJxecvn+rP3Vl48nH+7ZfPv7ZP+cmnCy9s\/3H\/Vkwf3lw1IxutJSp4Caljb5hSzhIxcZlgNGQpo+PovjkPRNrkcTo+Ou0+bw55KpoKj6\/sFepMA2SeENSG3+cEdVutAJmnBHW6kPiZoHanGyCz3SLopENlsk3QUZuq7A5B7S49UR9HalCC2ysnYqkw++gF\/PpeyFNEfiYIUmhAZIbZR+\/5iCc8dPjXV5yJWbIBxYbcr4JdyywJJPhCoIHq8Sduo0t\/xm9YMvT517sJc7n7nvseH329ZGKyDLhIlk2Xj9jMF83XUTT2+Q2L0xdREDPhQaVrfs\/90+bqYd1cLdfN1WJNv8V8rFDFhd3ukDG32y35\/cbWuz9gwpnccNdjva0cAxlxAkNPGwl3Zw53G0EE58esqW+MsALnqSmSGVfYE\/Yzx2dpaqNw0Qj8RsDimkpFoU6kggmu0wpLxYdOJSwcS5B50Bgn0SwupxvCE35W6rMlT3TamXBnWs5vAJorGSELKjUbaeLo75SPG0MR5l9xka9TwosbaSmdRPPS17SUvtfp2AtLUPA1LaXv9WydIMOR62U1PSfKhnLkNqLQX6JnEsMLbocz3ydL9TNUn1ZG3WoRNxISZrSsNuLCmRgJeTf8xh1BWZp649BYBZHLTeRESYqIk3CXh8JjfmqiKPAEInLhE57cRr7nLE0URo0sC61JiPE67y\/lRpL3FnHjV15PyMoLBR8nnliav\/N+MlhjKiY8NHIaXAwwpLBIBl6X2lyW2\/z4\/po6CWeCqzl8fH9thHxeu\/SjodFPBmQlljE35ZFqfmP3LHUSLxZoXR7lyypWEprGvieMZ4iWKXSZsj7D9Fvkhcavd+\/e0lQkXjj2RkujMvdQGHi14PaCPz7eJlHgpZwy3zf6KTcqZBoTyCkly\/RXFwI1xYNNRCV4Base2oCTfmuACYMkzKffGcBSWHpOXhBHiTCywrYs3GzOxyufplx8kt1\/THyDYcunzHVvk0hETuQbKFwAMUbEETuKEj5CZLSrxOUBIoHIxrO6MX3ipKmZ9I8G6zVe5wNd8AKD74uFRsl4aKB6QgMWGzdMTGgSzUJXLwMiCNcRRkXVe7mkhJUWFWoWUyVRXuTXjbAfDRo+PmTljZaI8rYo9WqEh51uF5+ddY4fS7mAc3x21j6pZrYh87Sa1xpgfH5+3io6+7OYq96ymm+8iHyfSxhERpqVmMm6qMlEdarV6ojESRTzRHg8Ndnj42pNxjySTMPUkLeRFwpEnChKXC9kAvhXQsLButTJnBeb7aMXitOLJGFLOkqiwGAiGhrJ4yNCmOQIvs\/Re0+dCUteRC6\/EEYLr2GTwhF9yQT7w+NzI6TD2WjEE0x8uz8gkd0iC2s+8XxuRPWTMzukPg\/HYqL6D2xGx1zAINonRkSAu2AyUblvVGa9o7PvqtnHOtu1+\/27ZqdFJs1OazCwRlFiRHX7hCzstrU4C6xFvU6iut3Bq0k9b+LUiLB1V\/mut7Hl0niWToxSg3jtqzwXr7M9VqDypky\/\/jQkZqubM3zCUu5Yx2sv5HeSFlUXM1yvK+TOE08YgDcywn5r0G8NDmw77Gdr0GhDVg\/QaMry9nZ5e4BXoUIAgGQ4+Pcmcxv5yzHs+cq2lJuyPJcIiOyQ20P++FgW2z9EkZ\/esjHv7co0sBlxAwF1bwjIbCKiuV7KAt6IEm\/shWi9g97m5CSa9hLNnUwE\/GQfbW6eKZ7T\/9f54NBzQfbhIPk0nCiUkp4hS\/C50f\/X2aCOm5QvuGMk2PJGxkGJF858X2ofzG6CGNwIF42YOdMmFTwVRgh4L8\/2YwilRghUyZSMKmZJylVGRm5Zj9F727bbPWZCB\/KfNaYOyG5GSSsqDyKvPeRyQC\/leb5hMUmF3TluFfLGW81ZvZHxkk5YaiQYr15Sl\/tcwLZbvwR+I2EsCZN6D\/w8FSWgl3TKl6mBaShxTe+ZP+P5uQqLrfCqysVhSJrtFvNgxFfLEtkpFx+8gEczYTCikB3CvmWue3XPQ3HtpYKHPDEQG0aJQKSEDMfnLMlqR9jypczx8t3N1cLhsQRStbiLCLqA1FWSRAnCIMmUeUyY8ylms8fHllXISglZgTjGfDNc7+DU3sjwKUjLs\/Tc7rZaPXbWMUfMT3NVFTBy3GodSs4TR3OjQxgm4WZbJYypsdTbMMqccJHNXns+BUnZtu3y1LK+xQRkWn\/tjQx21vnvjCVrs4S4C145jUOQ9\/bLkUpEfBOwMb\/0BNC6kKzihAczX3ixv7zw4wkDSTbkQHH8KLmLmcNfROE9T1LQa1TZuiKJ3pWYohs5s4CHQkujVz6HLwM5LLxnKcJWSOeeKyZ2on6tkE64N54IO9EJS53tELjLC0UaDNRxEVnNPd9\/z5n7KuF\/z3go\/KXUqdbYYtRN2FzOy0hIi7RyAcsxQ+IsTEZcU\/ErgAGWa7RIi+jBkGwQuMTqr8qY3UZcQp29eF4BXQJ+gyVdmG6qH6+5gVdTbk\/54+OOJeHzWjHMNmkX4uuU76PEqsukcqh8TQkUQpfylICiUUo+Pq6iqdkigZemZouMmOebrbXF+uGgXgdasKRhJDheqV+jjCBf8k8J489Ejir5tVa7AaYCEspRR8pJRqd7ggmTcgazWxY763RPLFavqzH6tjwWAVsYjTZRaS802sRgjfbxMW62jzAmkQ1CLY0czkIikz4LXeKft3oJ9T1hJjQF60C5AZlkw9Tw8WGbtjEmeU+tzY5ax7jZ6WCMrbDPBnYijIi08VpOyw6tbYI704InkcK0VD9tKWan\/daABDkSlKxoJJSHIvF4Wm+DvBbS1PccbrQwuSMuuSdX5EEi6M5uWXdnCxpad4CgoL+gIy9JRf1uYC+otB\/wtH83APoz8qPIRb2OuVmQcGeWoF7bbK2hzXu7Zd2f+dY9tAgZrt2y3DNmudkaOHbYvz9kdXdApnbQdwaS+07xCri0F864bOfBbkTWw5kdWQ9ZS1eQdQVZV1lbN\/Z9\/YFc2m79Clq5OWspgenm3PZV6jLLujy3WakPb2QE\/Un\/5pDVLweDsyleZR+2s4b\/6VWYFKvgiPJmT+gs8TVmT7FWZFETgWy97LF+W2JnyFKOeksKv+aSstij1xd\/Xr2\/6wPEQAoBJLJd7kQu\/\/j+DdiSohDoGQPhgSzsOusfKxT5+QHIlNyEgyYuj7NkDbnSiBVZCGzopY6aqB7Jf6EtnehmiZOBVbACzus+9Vwwm2o7l6q639qF6q\/6PhVBOvhOD3VEUd2nfCFISBWv3SRtE3nQDyY0muKVzw018kdUj8hEc1\/bto9bxz0EpASZCEgJygkXULx1tR6KpkX5BTcmm33eqcV07Ttu3GFyb7vU0fT6SqYVzSYPtktdCvSPOFsU5yFXqqa2WuGY+VwAKSM35NJuWVKAgB2guntt+8KYYnkEb+yWdXN2f3hl3cCedvo3A\/t1\/6F\/c3g8GKwv7fvDqzX3Uy4rzrjuwJ+JV1Fi+Ji8sP3ssJ93ut1eNrj2iRrc\/eEVNjfIA+Tt6vwFdC67rh8Nzk57Lb1hof3lu5HhEzUu9VNvZ4nOAK\/lFMdJNO8tzuyTTEJ5Yc+E4ZMXkuYszuzjXsds4\/W+ic94H8YgdztknJ+fd47x6rJeX6\/fciMgK29hviBz855MzCvN+hKumU2qjlT16\/FxJTyfA+eJF8B3Ek5lRr0OyXhRty8tlzoLGs9KnNulbpnHA6d2cVUkGT2ZGgjeZ\/3WQB9iRY0Olk86zGDmwYUIrs5nvzUonc\/vnUw\/O\/1ATHTiqHxOaQwq7L4jGakjGWVHEiV89AhVWwMSPflMFucv2uxgkRka7rixAFYVZMfsbusoueTeDrLjeRjkh1MKc1f2HfXCKXmw7+iE+RFxbBglUGDpREC9O6q8CQpuavv9jiyWeqFVMKr7glHd2JO+Kw+DXLmbKveYKqBLu90wJNzgkHZ+\/rmu6rQHh7R7+lx\/dQaHtN0Grt\/tktcgXTyQK3KJLVXRft1vDaysov26386+OvDVGSgSoIGdCrBTAXYAeB1s7edgez8HG\/vZzWSthIJ5gKdlg57MKElcbwoKUxE2yoKXrMa0taIsgqmCPgMDlJZifBoMyMKOqB\/1fcpBpvEpr7fPIhr2stx6e2BGdOKB1ARTL9n5AtuWAnBvYRqLeoCbHbzOhr1TorrmmUSVaalqv728uiELG7k8aKJ6Ik9KqM4LCeyXIN4bC6nBBjvObxr59xKxlfMaVfnp984rF7KvSr+SdUaSdf6QZyJp\/H0Su5TmhX+PNeqjeVVwycMqjwQNXTPI0ga5wmQqt8XUblnTsytrqgj+dGDf96cFs3noV9lNRGTxQP0Au1GJzgAPspG\/5caCrALTIXOz4N0TsxjXemObB08j2\/LELzNanW2NJ9FsWIOCZl9zow6ciEgaTCQB3ktw880Imv\/c7HTBTgrpiUwHP9R9ycQKtPYbWUGm9y4kjbyzg02FF+yzd7SkH0piEZGFXnAm1IGe2C1rchYdLqxJdoyvbGmeCPqTgdnC9aPO85NT674\/AQolDyYoDIlx1QSFTBXAmb36H9DH1GdnALqCTB4N7E63u77b4MKbNGvlmEF1Ob\/mVp2SepdbPSL1nXqhESqDyO2bZvu0BXK1kdQh1Tw6aR36JLAN2m1IED8aG0a7HuGm0W5EGDeN46wuxoe+tbAXjdIMF00fcrWOvDDLRZgsy98BJqOFWa2NyWhpBo0qVGj6JS043qn93ZDAjkr8cWJH9DW5s6XoRVz9e2+v1uTKbpEH5ad0Mq867GztQldJ5SeXaQ9WIFkqKY4IniTMC\/UXX7Cx2abaSz9VJvoLIRJvOBNAgcBeGvgNEHcDFiNMbvbC6JYRthQnlVbTV37EhLGvSiL98Qg\/PoY\/hEDqGF+e2+3e5Zl9lEmlDoVJ2JdrJYz3++AjH44RQUPmTMeSozSkaQoRJI0AaEAkkJIlVGxBDqEyNUTigRlrE0TmZiDDKHF3wHjhNIPw2RSCGNDI8\/3dA5l4vo8Igh9piQAnpxvNc2CZuRd44o0nPlCGHN73xF5o5jg8FJtND6ylvWKxZ0ZE6rYTqeD0Vp6rk9RziQjS7EsEKeELkX0CO5P1pHlNqcH+TKiElN\/BVSFtSJAAy5AymFuhChby7wAoE\/YtrR7JTfE+isTbyIVD8WIvxXS9e4RJwvcCpGLpc4TJbz9o4u8flH\/aWw6H4\/r7taW6wheKaIdgwXTS1DJmYBLOKvbyFiacueaMY8rimIfui4nnu0bCsfVC2Wzegi25CAhB1t\/b+YoOQFFaOV4s8Vhj4rkuDxFBsGoIW5+268slQ9anjepJ5HPYPFIwkTVVW7YMWfGpF6Y8EZd8FCXceEF8ZYiSM8CbxX+TF9JFcecNfS8cSx94acKfFDn5xd5JIeZBYxQ5MIaM2xOkfHIF9cHkI7f7\/V9Az\/kFtEjS\/6XfGZxBRg9S9aOTlgkJ8kv\/aDAYyA69wvrqcBXd5uaxbK6aaLZ5b1isDLbeCCStiLpcMGdi3HID43W4gTxN2oAiMN8HIiWt3OnO2YFzDRHJ3a1QrQ84WGjCg+ieGyiLAkLYEsly5WUFeK08URyv1i\/yTOu3Ivl3kfxUJK+LBmR7Uvxb0BsWG1JfYl7IE\/MFkefJnD4+rjJD\/ylJo1niKK+kDANKzf5gTYZAgFPzIycjT1zKj3fS1ZOaq5i5rheOzc7xmjA9eS8K4Xwkka95lBOBv5MJ756\/5qny40vGNmIufzmDkig03\/RaZrvbIrEnnMknT0zeR5LcSMiALW4h33zeIkq40nJTjnEYTMJTntzzlwmbe+H4UpqBFEVbl9C5Zzkb88kSEYjpmfPh2M+dlNiC7aMFin17AeIYCZIVO8DmKDjCuHQPFV4kLjfhXU9ixeRUofuNqzMOOJU1tJTbvGe+5zLxyBcwMViiR7UqjzHzQgEf0Uw0PeUFVf5vQ7dBA56mbMwxxitHGvGB6mx7+OSI9Uz9CJipw1WoQHF64BBIMYfbnpRYeSh4YmAi1LfaEgYmqZ0b1o9OWoXBnbbaRADkFUuFgRsy\/QkGjXNHx8qPQpNTPxwTnwlIMUHmZkpSE6ilx0PxCeToZlqSxH41CpcfD7dMtgE4UOvo\/6K6wXuc+pFMczrxTITKvnTGDU4KfwanCZv3OK\/zTdOr+KHplWem13LMIXQKzFabg81mE4akOLQySZucTrFUMHfMQ6gSmG214VLYzzuYAUlJjFcerPOd3FtyWlZKPdfmVqo3nM0tCXINm8mAKkUzf\/OsHTLGK2hURyUkLBU8QURZ7\/qMG4KkeCC\/77wHrhQitniIosB81RcSDevN2mrLmqt7L\/WGng+BcPGayO1srjRUA6hCw9VkAWV0Yb0m47K5Tw+0WLQz0esjCLBL4sgHpkf6UqJjStKDgaEB4SQlgrQG5hNgBWkB\/KDo9RMchdd0FCVXrBwlIOTJlqdBYVXIQKeVB9TiFqZ3q2I+lrKECNBA3xtBX\/Q7gwGWxzNrQK+cFE1ha2BwxUlPlGRQO0Go9On7PDVgZZR7gyC9byF8TvmC4AzXvLAmeDHeUlsJHzVQnctx7y4p9aOsoXIrc709YYCbO3SA12uJhbvp0lihdLrUkqv53ghoOl1igiZR4j1EYblgwh44JmgUjffkarVg6PPQRWa7aAQKdW6LyP6yEp1LTwliIojSeMITnuU+YTu0CO2QY0Jbp+Q5aQ3Kau9Q5CRSI1\/YgXJYgnU4S7aLZGdwdtRqlQ8iiOqZ5qNOTaH+oDXRqwVc28BUMYJ+Cwzqa0w9F2deu3dywbxgjPYcXc7rP\/E9B\/f0KSdWBwQ87diSrDiF4Cdd1qCdbl4wTED1CXmaNgK2QKbo0dOu2dZHguPV36WdTkrbmiA5KNAK1mrWWlHTUxjz6FsKgVTSUf6n0R\/gfHojqVVlM5CKXRQzxxNLZNKfQVxQLUoDXgUlKkvj8ubxUVmYzGYTbJSVnV9FsaTrICohqWYn3gziQjXeb3rtjjnm+fBybe9JC1DohqBIj3mGZnrUBSxGerdsk60ZXv3CjRleb+werVfvxOMNNyL6UnrgC3TK4P58PFKPllYvZNITrVfn6B1x44h0CX0uqZ7qMFPTv9ejgnlSn6c7+jwmJ4SelvrM9f4nbJfv9PV83\/y6WJe4DEKeE7ZEZv+IgENAufuAXqQZOYaP2AYbMdIqX+\/I7NAuGVcz6c9dMy35Uejzrkm73QyPkk6ne05+iWSn3yPZu2mD4P0UQhy3SMQGHSgjIq63pSRBnkgkEp6yIAYtEpkI6C9PBYLTCNGOG8bZmVLptLQ8y1W7LQ6p11kyL2nHvOHGjOpsjLdYqqIiBbgnjBmVmRhbN8KYYeuSy8j8ggH8oiVIoFg0Fmlvx0UqGW2cZlYvTbGArdLpU\/ag4yWO\/zSCoEAbCXO9WYrMDj0mWV6JmyYsiEGv5\/0j4NIkj1GvSZUpn4pEMJeGHY3sTMwtrlPAnNaaUGdz4iSiwgs4uMaBbasYs41ecgx+AdHqSnnn3cqdM162q0qeAHL9gW1L+R6vAptbIJitv0vooKWhnY1vRqdkbhfjm2Eysuf1X2FxgRSWRLkhVl6dGY3ycC+lWo+MAyCfpARcUE\/cK9LmBgQc0zJU8W3eR55ba+G8I6223hYY6Q8H9kjJVNdyK+Si5VBzRLkpEIEB93IeqTcJbPctmXRIZnKls02SH+HNM12OnJpRnYslymRvsplshz8YMzLH0ldaywBg9Ae2Pcpg1GwqR3C4Ic1CIwNJt+VNKrtYVDLcFLtnmcy9gZlZFTPDbbSs15YoJCeHaps71rlK+DjYyi9WjjjKo52V7M4FeH1zzqEykfeQsaONfFlD35BzqEplZco27FBtuAeTkDbjHWSgEmmpHdK\/ZzxZ3nG4UQF+MaouUSmbDcIktg09VHXG9SjyD9VvD9X+Wlw+r\/21uPi59i7m4Z1IOBc3LK6BEUEaRaIkrRnvXg6vMande6z2+s3lHTIRImM7R1\/WDtzvq6kLfjXj7cXdBQZI2E4pXqUVU2vliyY89pnDjWbtr1mrNXwuf9jGmPr\/UoWDQ0NDlfv7S3b4F8a9n5oEIbzd5i5oBVuP6+M1MAEri5KEMV\/glccNtbNLvOGLoe0+B1fZtr8qB2F\/4eSohddr1ZRdCglW1K8\/+I4Ip3jOgYDDJddKFDRbSJpdoaVpHgkq6FSFZeU0UGAVWJEWrHRkpBTc1b2DlEbTbPRcXXEQNJ1EiagjsxZGNb2ytVGU1KBVlwn+ARybAhc0IKXg9d7VAqqrsrqGkZH5qAaSCDLVbwpXnWqu59bCSNT8iLmklnCIdXBrUVgTE14DM3QNrJ9IEoxPlR3E9ZUpq1Y2eB9wHRKxLixeS5EZFzaZIBiGSvywuOojyfZaSXEVtjcujGIZ21RU1OGer2jXlygKDIzhSg3Ihdb43G5Z40ZDbYCZ\/ZUbYLQYYzLUMQ8cFq+J6rH8dyz\/ndGl\/lUREcPi+qHy4cvV4GRIvUU\/H9OQTrLIW+XunNHR8nBIJxgfDum8XgKcbwEuAARL6rx5VcPl9qqE0XuRy0cHEbjudVxoFqXL8fnp0faFj7SID+4UvGfMy+PYQCGQsq9gneIkBezr2BEl8MYaRzFdkJnG5Vixr7zzGQ0K9Mw20RMDemYSPbMyemab6IkBPTOJHjhHBy7vjwd4JX\/sa1jRmC5JTBfbNwHU\/Y+aBJWxLRyvPnP4Wa\/JHrji3oJEXo74P3I7mdqbeiEyGSzOAnUQMp+dxTV9SflZPa0\/gyu66PwsjVlYzZ+i8yuf30sZ\/uyvJgDsArtH58\/qER0FwohJC85ukEP\/1YzPkYqJ3QyV\/8xB6Q\/ATKkYvrQKXzNB5wmLpZk5ojHI0h+82BDSUCwABGfUK7VLUyndUVbj8Zm4jkJFmkqV60gPKqKSDUDjaf0PXgYiRWsIkz5Xw6ALkqWWg5JRaC4MrdhtzcGKwIUWQ6xKZQLfZ9ZwOXoYuUvJrnePLJbue6C0vTgj16l211243xi4jn\/5cHNtoKF03oHtCwzAcik+AqspbuvJ4f9dIaEIWRLI4NSJZirO7PGxP8A7GdNHReVXoSmNnmDhl4ZPMPCD4ZM8tMw+PSVtekI69IQc0ZNBX4AH7\/HxiJ6Qh7Z5TDskTjwTcsnUC124nQ0dLxFxWGy25A1aGI4n\/uOxiP7xoAc9ndtH\/KjXoR3zyFTfXfl9am4Mq91q5BSgS\/JwFagDpKhuyCZbZgdng5fyJ4wcSuTgP9IULigXgy0ZtQWNE6+Rwr8SctfM1J7Z6zaPGeyIdKdnGYFPYKc7C0aLiKDwi\/dCOSxGRDueBHVYjAG2vGEEDa204lsWlPt2agk6h0LNew8N1ZUybKj17T2nx+YJPcL19rEl6MRun1h\/VzzLKdYxxx+4Xbp6d6m9vR+4Vlc\/5tdotVzzgdvyQlEqLkIvkHTsVcICXibCss0dumiJ3RBhV3xTJM2\/f1FBeDFc6x3bHhUJC9NRlARkRoZ2KfRJHvn5Xt+49B5jQMvYj4YckdGGD+62CKkaATk4HGLyQeU5UZrnScFiZres2VmGDWuWxY59tT\/2ZwPyzc7k\/B4\/t7\/Sh1aPn32lD21FSNS\/gJJvvXlGW77Zt4f5AL7qzuofDvMBZHlFDmSBnV5SvMMhPqft56rVcW9MvfQ6cuSKvHMcf+Zyt9w7XoHi\/c0+2AVoKE\/3tSS0qhciu8eZ8\/erwKv1GtjxN7lDvmmuCKsaJ5GMHeyXKg4w+d2OOV00vtJ5s0N+go9l4yudNDvWN\/v3c8jv\/QQ\/k97vZ6L301laHq5GWWbsewdb6lvvHT+L9RpogHc8W4oJt+P+Oy7Z\/u9nE97vDHq\/17\/S+fmEQ7TDT5B3NOj9VP9KJ5DXHmx3CMuiLDJ6qrG+qP07+YnI1oisP8DWV8rhLuXS58UWtZFMgiPEQPVSVC9gAtdRvCCb2UuZjWtFxUa39T8E\/sFovV7LbjKB+1vlytpF4Topk0AwG5JcKHt2NpwJAUL+MuY2Uh+oyuKlhoRqOW0SCxBERP0ZqslgGelE5y5kGuOeCpmBKFwfHGj1ZxuSTunpFKgw6z2rZWcSzGqRrRp4Bp7k+rNaKRxHl5zvlIw2X2FB+4vhpilILGn92Q+bShMHQGMpxGQSVvarsHWO1laGzA3hqPR8DDrXcRU1QxKcGgvd2shnohawGEsJ6Vld3jyQUX0EqWd5avn3xd2Hq\/e11y+vbmrGzdWHN6Qm1XpSm3qiBsbHGdg4CkOKCjaAJnUGIqisdxe50E7tCp5Cqr0bQpwHE1GyJDWW1uLZ0PfSCdw53tFwFiVYfrYIVY0XYKeQ7YOxwqq9lb4qX\/fGRC0NmO\/XUof5ynKjbDrQeNaeDIJgIA9JlCURc\/\/zbpQhSHajLUDoFmTTGuyN\/0LzyqgD7WehnwQdvawVH6XV5JnET2q5l4m7Ut33+Tg3rRXGqPqzM3i3p\/LskXzACM5TDgaKB6rpQDZcf3Z+Jkd1flXyZNXOvDCeCX34VRu1wAtt1Ea1gC1sdIRqqeCxjVq0jWryojyccxVZmlMA2bKNPqieaxVnGRwU1bM8ZOdZZSqiV96Cu0YbVw6X692fl8Iv7gr9lqtbmCrqdZXvR02RM0uIhMo2dxlMWsUrUHlY7uoPQ\/TQkYtMFU6m5RJ5GcXp84Et1t\/AFPXFKNFXyFn1B5noSB14iee6qmFc+L6B+iXKOSg\/aJLLmGJPiK8jFhC9titCURPdXEpMS8jpFVRAubQydPSK\/IMDp59CgITSjbh9vUs3yndW5jLmJTuoRp\/FN2sq0bgirm6tecmM90ehzX1fWrPyPm25fkcuUkZ3vfFKm3+lInLM3NVc3pOmGo2Kxs3s9kpKgWVRbiFeyIY9\/WuigCcOUEe01tVudPhcqevn3Urdk5bZUkbMXik7N9Pv1Euf9bOJw1MiILkHMUs4GjzDuQnX8T1nCvFn2ZZWRlJJnLW5bCUj\/sxiaN2u2SJDzmDHwB1Bb2SIA9tWQStvwML\/bRbEHyIjVpbFlUc5S\/mHyNh4zitzNJrH3daaxBBn8\/0wTY6tzaPy296jIuddOSljvBo\/5RSM9+wfEUlZn8v9nh9lwNKFui7wVv18Vj9vuI0Q+ZPbWszM3zEoRKoLIuyI6oWBEG0uDSiBNJVk+lHm1uPSXQnvLSwrSg9YNDP7s+eD3lF2rOVms8z\/o8MZZ8pjqGMbD171Z9L4qbbUGkxzgrpsKY3QqYrUewTLXOU9nnL70zoywbyp3U7y61cZvVC8hQXzGtu2\/aZ4tvINt8cW3w6e2ekl9EZG81\/gvWn4Df28zAyia4CkqLha7WiSITdZnvZcycwsbmXDJwhhPbKVLedbXrzrvsN7I1UBQxiv4x\/4NZ0tz+aFMGZEYhnGWkQFDvdH9Ulv276oPrWCa91YEbY0JNXmNFUb7g0N2OlG3BckAKF\/W+isOFk3nKdl9cLjOuz24KKyp7ePhSQzGamr6vVx+W5jeijAwv5Wq02O78W3TExsBFY2YbRq8J80zccLjKzPGs7nI2HLTPX65NiOaDr3Yn7lq74V8diElSoc710UR7OsCcPF7JxsHlxsBDI4kqfgrMJFaQcUxf8fo5vw+uLHbND5ESPUuvwMVPmLjBOsHGkQMavGEdl72WCTMRUVt6w+DKxCzlWmYpNAf4GKFvtoKrJ9pH4u1AJcbIbrg4VBEWtLkmfrbRGa\/7kALhxsJX5oFblPtQeBTCiFwfXbH9xcebttAXSCGMb3hIsln3\/Q+OftxqEANv+PG9+4TvJ2+zpJpfwzeVstl+uw+5rDW33N4Yd3HGTwJ3PgioK+tLD3NkPl0kKrdDOhS562Cf+j+wsCr\/T22rmxrIimbGmgF4q01bxUOkvZPfN8JvVpcJR6ae3e43PlNfXSmsvvPYdb0oWaKfs1TR1TsHvwlKLSFQh1aeZFENsX1sXOqw4CrlnkYFdJYudmYn3HoXpPwRRw5FRb4NmtPDpWpd4X2yGzzu6g2Zz9bPFVGf+k+Krm1ypst3cw3U8tVQzIXs65HXW9j40u8yt4AznpXfORfe3kqiUASVE3h1kN3twXAiih\/v0QQGX5gCjAPQPXvX9n5Bpin2hAn8ug1RLDU36Di\/9yEPl\/JwTcynUZ5X38k+PVn1yNWF0CktEIG7u5GiiivW\/v5Qvb8syZU0ESDi8CmqWK2fUwyM8DTi7yDO2fyAn1aOb7qQMuPk2sHx\/zsjkfTj3xahtC6hX7FVxoU7GfOOUzN0I6GAK8yCppbFz53DUMueOgirrzsON6mMQSmFN2FVLXS4GWGbn2twuIhxomC6FLQWAgrpeIpfmFJFxMeMDNL2Tkw3fshSF3zS9EGo8uhLkUxJl4cWpuPdEH\/II5wty416UsOmCm8ShslzehsWLSvcTNgzdrXDXqRDORQ76bie+BAldQwPn9O+MjJ6W7d6SoTH6gTGucZZdmoH0pU6zLQZnEYQFPmHnLCfCJ0kx1VMym2NXnRAwUp9t8Zg38oRVp+vDopNUs7oZ1SYqb3XYHq7zrtx2Q30kasjidRGIb\/TXFXiUTNUqQF9UV+d5jmKV4CC30Lbj\/Hji6AXqp4vPgLVNHLq1A5LoLJ8e5Z2mOV6kxz1lkcTEESpRwr4vGijhUHtKcKevWKL+DOlfDu7Urc7VGP35scaSfm7jVjy2OskcnbrP3eUZbr06UnlK8lU88rDfnHEtyM8IrYYz0DkrLr2wINRG4VLcGsgfMyHP9KuEb5pRyVg5\/q0BU5qumcN7Ca9Lu8iOwZYnEA7XgPZfsQwVha0K7S2xwKwG7cEtnl0t3X7xFIl9oIRC9sc\/wxRxhI\/mQrrR6\/aYVONdLY58twSQmDYspsn6jQGESCL6wn+1w5KQ8Rt91I1WN6eoFflSDi9w2kh6cqpUbHphG50\/wm+kH\/lGtsEJl2kWlwdcy6\/wsvR9L6fEyWtgIdN32Sa19snvsMROTmmujm07tlJ3UTgAa\/t+ptS7UJ\/zXqZ1O2p2b01rHOaLHtSN6UoPfU3osYVEN7ufYKlC3lookmnIbObMk4aF4IRm7zlWXMmzUpl3UlJi7H5c8YP8UGR0XAhAFIPqVlo7Reeflf97wUdFwye1yflRuWrkantDDjj+NUDhDWQD4S8SkuqZvIasGW0cPI8uoGW\/xP13r01qbntbaLVjCX7r05Eu2gJUla1ZrHNNOrUtPaqeTY3r65Z8seecfLvkP8SY8X2x4kDwfwkwTXpPerzTN8SdLjLuJNxLSD8iSJJqn+J8fm3aHduFwHNGuTNdOaLfWnRz5R7XntHtzWuv+0aHdf3ZEsiyQcx0W20ipTTvQ+MziVSX8NyKqSvhvOy6XS9t\/iSRrrjay51SwZMwFdfwoBRtrtjJKiB5V6POtPdrnd2IBgmiXsuwEDdyCVKN2O97rGyhEIvKhFKEs68oV319121x0ftztdbrmSamx1R\/G6Dtm\/vxCw3fC\/VjIfR3wp0L6Cu30esPgknnxkXVd4jMQW2GllZipa3gh4j9aqg0\/oRYM7oQx+p57kGyWVhwj+MDWm1\/iZdcIpQu4OkIQlLLhyQNuZ97h\/FGheg4g5XrlVClbTfV9kcwm+SSHHOgUmfPK10FI8Mb7hHqhyxfvRgb6P+FiHphgn0ZmBYSM7aZjG41ev9X4mQ7qmFTSWUo\/hR9jMrObgW103Mcj91Fy5aJMxy3\/YczgBfxs18n3lZSXWNsI10oAfc8pECCjPpbvn43l+2djeflLORFWN+aCBCw2PaJeEuK+GZJJlAqTEea65jsycsw\/SSxMJsiYCzPSCsIt1\/r8a+LCozfbQru7XlsP9t5bcfvvyxlDbOZi8TbQK87dFK\/2lRhDOfsdxcpmsruqLoPKnwrT7lw9pZHJ+HfbT8h4VkSZkC\/HvOd7noSR78ZIUld+DYa5buUpmC9yn+YGBBmm+wVXTAqXvPiepXzDzqCOR0RBNjWkxh5wlsKfn8iJ62duzKXdomgkmlWf+8+Cs0sx0QgVdXZQDaDfc6r+jATz5RmuUPMRhA+DMA6BjJLuveehyxPuZn8tzJirYGq85WzML8FJF53hP45w5qS7VU496YDDxZ056E1G34\/yENC5gFmv9V\/q2SAyU750o3m4l8wc2Nk71nPqiMT\/jS+zT3hD8ze+3JjsHByb5NY+be3gU3OagqAAjTT\/dQGSgp7NKPfZAHGVf24ASq\/5SLGlRL6M8yEyqn6MRrtLPhSsrKj4HhS\/79Ws76v5Mf4hH8z1YdlkHmmASZlB1tugxeW88SktShNCuY1G3kZ1oKG2QsmPt\/8+y9+B4JiFl0uj37glrcGPUKph94NqHGq4Fmnc7gF8CVuvAroDsl6erV22Nm1CNsqQXyvWpk3QVhn0lygAKvGeU+YIIzM\/VSuMyxVeSzfUU11WPdCnCt5UaVaUm\/0gmy1Fisl6R+5mpavUYTGMOKKxFxqNNt6kVyWT13pO44TDqX+p7PTGxoOkE1F9wTKR9P1TcBF7+avv++n6aFT4SfaDgakC7rhjK9y+1x7hVQx\/gSB7D7dy5Sd5wlNk5dmMhfafaC73iQ9fX3cUyfXCsTYD5X9rLHv8CkmiaaAwuoncmc+RF9b23jBQf1cO43IrgayWynZANItGNT2Crb9+AaJfNl5UbkPGgA0ljBqPbkH+6RXtk\/O5fi6r2on88357G5allSbfgBUzVYFVKriUJ5WhlMobkQaotPDx\/XV222D7D\/OVm4K\/19KYJX5mcUWlKMJF8eazEipybpJl2PmflAzh8UEtk2t7FMgPoMY5YtEYedx3wSZF4FXd3QpGKhjIysS3x9oy5mdGfHbvjSGCjDpRGKp5q5dmUnYvH4NVgMk+DUdd14QVULj\/wYmBrvdCqYfZ\/Nxprp7k1a8aby1b5TVzb2Qs+q0B9dICNBzLB\/68VE\/NwFZ+5tdrskqiSNywZOyFJjpqtSAGAwiKXnWDlU7Xg\/yDMZsRY8l2xNj+BaqptcgNiuB+lUiDpSv\/nRmQmRbCCDPphu19yK5KDMrU4AXEgj5wIzvK29Fu+SHfDnqj8Ne7QBkoR7xl21W9dwpuH9lBJQOGsEPItlepw0LzgRP9B0xMIaTb8UKYXzkB8pSacy4lpXxYCTgEZcCOfBQlo6OrHGBbpnv57kaHd15HEKuOyAue2bALK\/QLDnZvPcztRpRxGSpiA1v\/Dw==<\/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-a01-stem\"><div class=\"nxe\" id=\"nxe-nd1yu4xq\" data-inst=\"gra\" data-theme=\"light\" data-grammar=\"atlas\" data-domain=\"finance\" data-arche=\"methods\" lang=\"en\" data-nx-css=\"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\"><style>#nxe-nd1yu4xq.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-nd1yu4xq.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-nd1yu4xq.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-nd1yu4xq.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-nd1yu4xq.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-nd1yu4xq.nxe :where(ul,ol){padding-left:20px}#nxe-nd1yu4xq.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-nd1yu4xq.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-nd1yu4xq.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-nd1yu4xq.nxe svg{display:none}#nxe-nd1yu4xq.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-nd1yu4xq.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nd1yu4xq.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"dag\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>A01 \u00b7 METHODS \u00b7 stem<\/strong>GRA 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\">GRA<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Insurance Nexus<\/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>STEM foundation<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">STEM foundation of Insurance Nexus<\/h1><p class=\"nx-tagline\">The science, technology, engineering and mathematics Insurance Nexus rests on. Each method has a canonical page in the STEM Commons, hosted by GCRI, and a page here on how it is applied in this field.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/actuarial-math\/\">Open Actuarial mathematics in insurance <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:\/\/globalriskalliance.com\/insurance-nexus\/\">Back to Insurance Nexus<\/a><\/div><dl class=\"nx-facts\"><div><dt class=\"nx-eyebrow\">Publisher<\/dt><dd>The Global Risks Alliance<\/dd><\/div><div><dt class=\"nx-eyebrow\">Field<\/dt><dd>Insurance and catastrophe, Climate and hazards, Health and biosecurity<\/dd><\/div><\/dl><\/div><div class=\"nx-hero-canvas\" data-lv-fill=\"dag\" data-lv-id=\"risk-transfer\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Canvas<\/strong> \u00b7 methods feeding this platform<\/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-a01-stem-iso31000-t nx-dag-a01-stem-iso31000-d\" data-nx-z=\"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\"><title id=\"nx-dag-a01-stem-iso31000-t\">STEM foundation of Insurance Nexus: the risk management process, scope to review<\/title><desc id=\"nx-dag-a01-stem-iso31000-d\">Scope, context and criteria set the frame; risks are identified, analysed and evaluated against criteria; treatment follows; monitoring and review and communication run across every step, and the process is recorded and reported. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig.<\/strong><span>The methods this platform draws on and what each one feeds. Design, not a record.<\/span><\/p><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Activity and exposure in the Gulf of\u2026<\/a><a href=\"#nx-sec-methods\"><span>03<\/span>The methods behind the field<\/a><a href=\"#nx-sec-pg-nx-gra-a01-st\"><span>04<\/span>The STEM methods Insurance Nexus\u2026<\/a><a href=\"#nx-sec-why-it-matters\"><span>05<\/span>Grounding makes claims checkable<\/a><a href=\"#nx-sec-terms\"><span>06<\/span>Terms used on this page<\/a><a href=\"#nx-sec-pg-sources\"><span>07<\/span>Where this page's references lead<\/a><a href=\"#nx-s-9-sec\"><span>08<\/span>Pages in STEM foundation of\u2026<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"finance\" 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 Insurance Nexus STEM foundation is the set of canonical methods its findings depend on, from actuarial mathematics to artificial intelligence and machine learning. Each method has a canonical STEM Commons page and a page here on its use in the insurance and catastrophe field.<\/p><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"search\" data-nxf-kind=\"search\" data-nxf-resource=\"nexus:\/\/gra\/A01\/stem\/#search\" data-nxf-title=\"Search the STEM Commons\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Activity and exposure in the Gulf of Mexico coast.<\/h2><p class=\"nx-lede\">For STEM foundation of insurance nexus, in GRA's spatial-finance reading, the map opens on population density and night lights with built-up and settlement extent from NASA GIBS, framed on the Gulf of Mexico coast; every other NASA layer, live feed and forecast waits in the layer 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=\"gulf-coast:finance\" data-ml-src=\"finance\" data-ml-plan=\"p-44e43a1f\"><div class=\"nx-wm\" data-nx-water=\"ctx-finance\" data-wm-domain=\"ctx-finance\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"-98,24,-80,33\" 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=\"Activity and exposure, the Gulf of Mexico coast: 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=\"ntl,people||||\" aria-pressed=\"false\">Lights and people<\/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=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"flood||||\" aria-pressed=\"false\">Floods this week<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">2<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Activity and exposure, 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=\"ntl\" aria-pressed=\"true\" data-wm-z=\"21\" 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><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"flood\" aria-pressed=\"false\" data-wm-z=\"22\" 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=\"lstd\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Land temperature, day\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite 8-day composite; persistent cloud still leaves gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land surface temperature, day, 8-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 Level 3, 8-day \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"lstd\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"imerg\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-short=\"Precipitation\" data-wm-prov=\"NASA GES DISC\" data-wm-kind=\"Satellite estimate, near real time\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Precipitation rate, daily mean<\/span><span class=\"nx-wm-layer-src\">NASA GES DISC GPM IMERG \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"imerg\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ssta\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-op=\"0.85\" data-wm-short=\"Marine heat (anomaly)\" data-wm-prov=\"NASA JPL PO.DAAC\" data-wm-kind=\"Satellite analysis\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Sea surface temperature anomaly<\/span><span class=\"nx-wm-layer-src\">NASA JPL PO.DAAC GHRSST MUR25 \u00b7 <span data-wm-date=\"ssta\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ssta\" 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=\"6oPh6EhWj+gDMzpLLT8H\/wVfxJakWdyAB8snze2Nado=\">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 STEM foundation of insurance nexus, in GRA's spatial-finance reading, the map opens on population density and night lights with built-up and settlement extent from NASA GIBS, framed on the Gulf of Mexico coast; every other NASA layer, live feed and forecast waits in the layer 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 GDACS \u00b7 CIESIN\/Columbia, NASA SEDAC HBASE<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gpm.imerg\">GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.podaac.ghrsst-mur\">GHRSST Level 4 MUR analyses, NASA Jet Propulsion Laboratory; distributed by the NASA Physical Oceanography DAAC (PO.DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li 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\" target=\"_blank\">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\" target=\"_blank\">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: GDACS (EC JRC \/ UN OCHA) Events are indicative, not official warnings.<\/li><li>Context: CIESIN\/Columbia, NASA SEDAC HBASE. Center for International Earth Science Information Network (CIESIN), Columbia University, and NASA Socioeconomic Data and Applications Center (SEDAC): Global Human Built-up And Settlement Extent (HBASE) 2010; Seto, Guneralp and Hutyra 2012, Global Grid of Probabilities of Urban Expansion to 2030; Global Urban Heat Island (UHI) Data Set, 2013.<\/li><li>Optional layers (35 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>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/li><li>Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/li><li>Precipitation rate, daily mean: GPM IMERG, NASA GES DISC \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/li><li>Sea surface temperature anomaly: GHRSST MUR25, NASA JPL PO.DAAC \u00b7 <span data-wm-date=\"ssta\">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:\/\/gra\/A01\/stem\/#map\" data-nxf-title=\"Insurance Nexus live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"health\" 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\">Methods<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">The methods behind the field.<\/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:\/\/globalriskalliance.com\/insurance-nexus\/stem\/actuarial-math\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Actuarial mathematics<\/span><span class=\"nx-mledger-role\">Loss reserving with development triangles \u00b7 Experience rating and credibility<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Actuarial and Quantitative Risk<\/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\/actuarial-math\/\" aria-label=\"Actuarial mathematics: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/extreme-value\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Extreme value theory and tail risk<\/span><span class=\"nx-mledger-role\">Large-loss pricing for excess layers \u00b7 Tail measures for solvency capital<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Reinsurance and Catastrophe<\/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\/extreme-value\/\" aria-label=\"Extreme value theory and tail risk: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Frequency and severity modelling \u00b7 Bayesian updating of assumptions<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Systems Science and Modelling<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/probability-statistics\/\" aria-label=\"Probability and statistics: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/climate-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Climate and atmospheric science<\/span><span class=\"nx-mledger-role\">Climate-conditioned hazard catalogues \u00b7 Supervisory climate stress scenarios<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Climate and Hazards<\/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\/climate-science\/\" aria-label=\"Climate and atmospheric science: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/ai-ml\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">05<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Artificial intelligence and machine learning<\/span><span class=\"nx-mledger-role\">Exposure enrichment from imagery \u00b7 Fraud and claims triage \u00b7 Fairness testing of pricing models<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Artificial Intelligence and Autonomous Systems<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/ai-ml\/\" aria-label=\"Artificial intelligence and machine learning: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-nx-gra-a01-st\" 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\">Methods<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">The STEM methods Insurance Nexus applies, and why.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><ul class=\"nx-dir\" data-cols=\"2\" aria-label=\"Method\"><li><a class=\"nx-dir-row\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/actuarial-math\/\"><span class=\"nx-dir-name\">Actuarial math<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role in Insurance Nexus<\/span><span class=\"nx-dir-v\">Actuarial mathematics is the core discipline of insurance: it turns claims experience, exposure and assumptions into premiums, reserves and capital.<\/span><\/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-dir-row\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/extreme-value\/\"><span class=\"nx-dir-name\">Extreme value<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role in Insurance Nexus<\/span><span class=\"nx-dir-v\">Extreme value theory gives the tail of the loss distribution its shape: how large a rare event loss may be, how losses accumulate in a bad year, and how uncertain those estimates become beyond the record.<\/span><\/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-dir-row\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/probability-statistics\/\"><span class=\"nx-dir-name\">Probability statistics<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role in Insurance Nexus<\/span><span class=\"nx-dir-v\">Probability and statistics provide the language of insurance: frequency and severity, dependence, credibility and uncertainty.<\/span><\/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-dir-row\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/climate-science\/\"><span class=\"nx-dir-name\">Climate science<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role in Insurance Nexus<\/span><span class=\"nx-dir-v\">Climate and atmospheric science explains how the hazards that drive insured loss are changing: storms, floods, heat, drought, wildfire and sea level.<\/span><\/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-dir-row\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/ai-ml\/\"><span class=\"nx-dir-name\">Ai ml<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role in Insurance Nexus<\/span><span class=\"nx-dir-v\">Artificial intelligence and machine learning are used in insurance to read images and documents, detect fraud, triage claims, enrich exposure data and segment risk.<\/span><\/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><p class=\"nx-p\">Each Insurance Nexus method is described once in the STEM Commons at GCRI and applied here to insured and uninsured loss, insurability and the capital view of catastrophe risk.<\/p><\/div><\/div><\/section><section id=\"nx-sec-why-it-matters\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" data-variant=\"split\" 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\">Why it matters<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Grounding makes claims checkable.<\/h2><p class=\"nx-lede\">When a finding names the methods it depends on, a reader can see its assumptions and limits, and an expert in that method can challenge it.<\/p><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" data-variant=\"split\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-7\" 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\">STEM Commons<\/td><td data-label=\"Definition\">The shared reference of science, technology, engineering and mathematics methods for the Nexus network, hosted by GCRI, with one canonical page per method and a named steward platform.<\/td><\/tr><tr><td data-label=\"Term\">Steward platform<\/td><td data-label=\"Definition\">The platform that maintains the canonical description of a method in the STEM Commons and reviews how other platforms apply it.<\/td><\/tr><tr><td data-label=\"Term\">Actuarial mathematics<\/td><td data-label=\"Definition\">Actuarial mathematics applies probability, statistics and financial theory to measure and price contingent risks, particularly in insurance and pensions.<\/td><\/tr><tr><td data-label=\"Term\">Extreme value theory and tail risk<\/td><td data-label=\"Definition\">Extreme value theory and tail risk study the behaviour of rare, high-impact events.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section\" data-hue=\"finance\" data-variant=\"split\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Where 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\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/www.iais.org\/activities-topics\/standard-setting\/icps-and-comframe\/\" target=\"_blank\" rel=\"noopener\"><span>IAIS Insurance Core Principles and ComFrame, including the Insurance Capital Standard (adopted December 2024)<\/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:\/\/eur-lex.europa.eu\/eli\/dir\/2009\/138\/oj\" target=\"_blank\" rel=\"noopener\"><span>Solvency II Directive 2009\/138\/EC as amended by the 2025 review (apply from 30 January 2027)<\/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:\/\/www.ifrs.org\/issued-standards\/list-of-standards\/ifrs-17-insurance-contracts\/\" target=\"_blank\" rel=\"noopener\"><span>IFRS 17 Insurance Contracts<\/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-s-9-sec\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Pages<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Pages in STEM foundation of Insurance Nexus.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-cards\" data-cols=\"3\"><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/actuarial-math\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Actuarial mathematics in insurance<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/extreme-value\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Extreme value theory for insurance tails<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/probability-statistics\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Probability and statistics in insurance<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/climate-science\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Climate science for insurance hazard<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/ai-ml\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Machine learning in insurance<\/h3><\/a><\/div><\/div><\/div><\/section><section id=\"nx-s-10-sec\" class=\"nx-section\" data-hue=\"health\" 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>What is a steward platform?<\/summary><div class=\"nx-answer\">The platform that maintains the canonical description of a method and reviews how it is applied across the Consortium.<\/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 Insurance Nexus.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/about\/\">Industry scope and publisher <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:\/\/globalriskalliance.com\/insurance-nexus\/sector\/\">Financial discipline overview <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:\/\/globalriskalliance.com\/insurance-nexus\/research\/\">Professional research <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:\/\/globalriskalliance.com\/insurance-nexus\/innovation\/\">Technology and emerging practices <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:\/\/globalriskalliance.com\/insurance-nexus\/readiness\/\">Resilience and finance readiness <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:\/\/globalriskalliance.com\/insurance-nexus\/programmes\/\">Research and industry programmes <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:\/\/globalriskalliance.com\/insurance-nexus\/\">Insurance Nexus 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:\/\/globalriskalliance.com\/insurance-nexus\/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:\/\/globalriskalliance.com\/\">The Global Risks Alliance 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:\/\/globalriskalliance.com\/trust\/\">GRA 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\">Insurance Nexus<\/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@globalriskalliance.com?subject=Insurance%20Nexus%3A%20STEM%20foundation%20of%20Insurance%20Nexus\">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:\/\/globalriskalliance.com\/insurance-nexus\/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:\/\/globalriskalliance.com\/insurance-nexus\/stem\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is a steward platform?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The platform that maintains the canonical description of a method and reviews how it is applied across the Consortium.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/#terms\",\"name\":\"Key terms: STEM foundation of Insurance Nexus\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"STEM Commons\",\"description\":\"The shared reference of science, technology, engineering and mathematics methods for the Nexus network, hosted by GCRI, with one canonical page per method and a named steward platform.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Steward platform\",\"description\":\"The platform that maintains the canonical description of a method in the STEM Commons and reviews how other platforms apply it.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Actuarial mathematics\",\"description\":\"Actuarial mathematics applies probability, statistics and financial theory to measure and price contingent risks, particularly in insurance and pensions.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Extreme value theory and tail risk\",\"description\":\"Extreme value theory and tail risk study the behaviour of rare, high-impact events.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:b9ef1256d605943a -->\n<!-- nx-path:\/stem\/ -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto A01 \u00b7 METHODS \u00b7 stemGRA dossier \u00b7 service level R0 GRA\u00b7Insurance Nexus\u00b7Established STEM foundation STEM foundation of Insurance Nexus The science, technology, engineering and mathematics Insurance Nexus rests on. &hellip; <a href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;STEM foundation of Insurance Nexus&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":784,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","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":"","inline_featured_image":false,"footnotes":""},"class_list":["post-2076","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/pages\/2076","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/comments?post=2076"}],"version-history":[{"count":1,"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/pages\/2076\/revisions"}],"predecessor-version":[{"id":2124,"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/pages\/2076\/revisions\/2124"}],"wp:attachment":[{"href":"https:\/\/globalriskalliance.com\/insurance-nexus\/wp-json\/wp\/v2\/media?parent=2076"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}