{"version":"1.0","provider_name":"JHU Engineering Magazine","provider_url":"https:\/\/engineering.jhu.edu\/magazine-archive","title":"New MINDS for Big Data - JHU Engineering Magazine","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"tDjG8qmtHt\"><a href=\"https:\/\/engineering.jhu.edu\/magazine-archive\/2018\/05\/new-minds-for-big-data\/\">New MINDS for Big Data<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/engineering.jhu.edu\/magazine-archive\/2018\/05\/new-minds-for-big-data\/embed\/#?secret=tDjG8qmtHt\" width=\"600\" height=\"338\" title=\"&#8220;New MINDS for Big Data&#8221; &#8212; JHU Engineering Magazine\" data-secret=\"tDjG8qmtHt\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\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:\/\/engineering.jhu.edu\/magazine-archive\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/engineering.jhu.edu\/magazine-archive\/wp-content\/uploads\/2018\/05\/New-MINDS-for-Big-Data_THUMB.jpg","thumbnail_width":300,"thumbnail_height":200,"description":"Johns Hopkins has launched an interdisciplinary institute aimed at developing the mathematical theories that will hasten the analysis of the massive amounts of data being used to study everything from the inner workings of the human cell to the structure of the universe."}