{"version":"1.0","provider_name":"Microsoft Research","provider_url":"https:\/\/www.microsoft.com\/en-us\/research","author_name":"Emily Maryatt","author_url":"https:\/\/www.microsoft.com\/en-us\/research\/people\/v-emmary\/","title":"Getting LinkedIn to Data Science with Dr. Igor Perisic - Microsoft Research","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"CKJishKACN\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/getting-linked-data-science-dr-igor-perisic\/\">Getting LinkedIn to Data Science with Dr. Igor Perisic<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/getting-linked-data-science-dr-igor-perisic\/embed\/#?secret=CKJishKACN\" width=\"600\" height=\"338\" title=\"&#8220;Getting LinkedIn to Data Science with Dr. Igor Perisic&#8221; &#8212; Microsoft Research\" data-secret=\"CKJishKACN\" 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\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2018\/02\/MicrosoftResearch_Podcast_IgorPerisic_MCR-AcademicCarousel_480x280.jpg","thumbnail_width":480,"thumbnail_height":280,"description":"Episode 11, February 7, 2018 - Big data is a big deal, and if you follow the popular technical press, you\u2019ll have heard all the metaphors: data is the new oil, the new bacon, the new currency, the new electricity. It\u2019s even been called the new black. While data may not actually be any of these things, we can say this: in today\u2019s networked world, data is increasingly valuable, and it is essential to research, both basic and applied."}