{"id":3702,"date":"2014-07-09T12:58:22","date_gmt":"2014-07-09T12:58:22","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=3702"},"modified":"2014-07-31T17:55:55","modified_gmt":"2014-07-31T17:55:55","slug":"predicting-crime-lapd-style","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predicting-crime-lapd-style\/3702\/","title":{"rendered":"Predicting crime, LAPD-style"},"content":{"rendered":"For more case studies in predictive analytics government, see Predictive Analytics World for Government, September 15-18, 2014 in Boston. Cutting edge data-driven analysis directs Los Angeles patrol officers to likely future crime scenes \u2013 but critics worry that decision-making by machine will bring &#8216;tyranny of the algorithm&#8217; PredPol co-developer P Jeffrey Brantingham at the Unified Command Post in Los Angeles. &#8216;This is not Minority Report,&#8217; he said. Photograph: Damian Dovarganes\/AP The Los Angeles Police Department, like many urban police forces today, is both heavily armed and thoroughly computerized. The Real-Time Analysis and Critical Response Division in downtown LA <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predicting-crime-lapd-style\/3702\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>For more case studies in predictive analytics government, see Predictive Analytics World for Government, September 15-18, 2014 in Boston. Cutting edge data-driven analysis directs Los Angeles patrol officers to likely future crime scenes \u2013 but critics worry that decision-making by machine will bring &#8216;tyranny of the algorithm&#8217; PredPol co-developer P Jeffrey Brantingham at the Unified [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[],"class_list":["post-3702","post","type-post","status-publish","format-standard","hentry","category-industry-news"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3702","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=3702"}],"version-history":[{"count":5,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3702\/revisions"}],"predecessor-version":[{"id":3812,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3702\/revisions\/3812"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=3702"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=3702"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=3702"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}