{"version":"1.0","provider_name":"ITU","provider_url":"https:\/\/www.itu.int\/hub","author_name":"Ralf Vanalst","author_url":"https:\/\/www.itu.int\/hub\/author\/ralf-vanalstitu-int\/","title":"U4SSC - Case study - Crime prediction for more agile policing in cities - Rio de Janeiro, Brazil - ITU","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"PvSbCGdKvL\"><a href=\"https:\/\/www.itu.int\/hub\/publication\/t-tut-smartcity-2019-3\/\">U4SSC &#8211; Case study &#8211; Crime prediction for more agile policing in cities &#8211; Rio de Janeiro, Brazil<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.itu.int\/hub\/publication\/t-tut-smartcity-2019-3\/embed\/#?secret=PvSbCGdKvL\" width=\"600\" height=\"338\" title=\"&#8220;U4SSC &#8211; Case study &#8211; Crime prediction for more agile policing in cities &#8211; Rio de Janeiro, Brazil&#8221; &#8212; ITU\" data-secret=\"PvSbCGdKvL\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/www.itu.int\/hub\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/www.itu.int\/hub\/wp-content\/uploads\/sites\/4\/2019\/10\/t-tut-smartcity-2019-3-img-jpg-m-1-768x433.jpg","thumbnail_width":600,"thumbnail_height":338,"description":"Using artificial intelligence to predict crime has its challenges, but a case study on predictive analytics for crime in Rio de Janeiro shows it can be done. Crime Prediction for More Agile Policing in Cities - Rio de Janeiro, Brazil tells how leaders in one of the most populous cities in the Americas with a soaring crime rate used technology to predict crime and establish an agile policy of lowering the crime rate over time."}