{"id":185734,"date":"2010-08-23T00:00:00","date_gmt":"2010-12-28T09:39:10","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/computational-social-science-in-medicine\/"},"modified":"2016-08-22T11:28:33","modified_gmt":"2016-08-22T18:28:33","slug":"computational-social-science-in-medicine","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/computational-social-science-in-medicine\/","title":{"rendered":"Computational Social Science in Medicine"},"content":{"rendered":"<div class=\"asset-content\">\n<p>\u201cMedicine is a social science\u201d, this has been the mantra of public health since 1848.  Today, medicine is a computational social science.  In this talk, I&#8217;ll give an overview of the Global Burden of Disease Study (GBD), and describe some of its many algorithmic challenges. GBD is a systematic effort to produce estimates of how 200+ diseases, injuries, and risk factors impact people around the world. Naturally, there are a lot of numbers to crunch. But you may be surprised to learn how many of the relevant numbers are missing. And the numbers we do have often don&#8217;t add up. This is where we need computational tools, and where we leverage research from probability theory and machine learning, as well as economics and political science. I&#8217;ll give you a quick tour of the interdisciplinary area that is Health Metrics.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u201cMedicine is a social science\u201d, this has been the mantra of public health since 1848. Today, medicine is a computational social science. In this talk, I&#8217;ll give an overview of the Global Burden of Disease Study (GBD), and describe some of its many algorithmic challenges. GBD is a systematic effort to produce estimates of how [&hellip;]<\/p>\n","protected":false},"featured_media":280976,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13546,13559],"msr-video-type":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-185734","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-computational-sciences-mathematics","msr-research-area-social-sciences","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/TDT74zT_BSA","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/185734"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/185734\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/280976"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=185734"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=185734"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=185734"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=185734"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=185734"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=185734"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}