{"version":"1.0","provider_name":"Apex","provider_url":"https:\/\/carleton.ca\/apex","author_name":"cuthemeedtr5","author_url":"https:\/\/carleton.ca\/apex\/author\/cuthemeedtr5\/","title":"Integrating societal preferences in large-scale optimization models of the energy system - Apex","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"etx4DptUxN\"><a href=\"https:\/\/carleton.ca\/apex\/2020\/ispo\/\">Integrating societal preferences in large-scale optimization models of the energy system<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/carleton.ca\/apex\/2020\/ispo\/embed\/#?secret=etx4DptUxN\" width=\"600\" height=\"338\" title=\"&#8220;Integrating societal preferences in large-scale optimization models of the energy system&#8221; &#8212; Apex\" data-secret=\"etx4DptUxN\" 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:\/\/carleton.ca\/apex\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/carleton.ca\/apex\/wp-content\/uploads\/sites\/103\/bnpp-out.png","thumbnail_width":347,"thumbnail_height":230,"description":"Public policy has grown increasingly reliant on complex analytical models that, while valuable, rarely integrate behavioural constraints in theoretically appropriate or practically relevant ways. By offering a simplistic representation of the real world, these models risk producing unrealistic results and leading to potentially myopic decision making. For example, many complex socio-technical systems are modeled with [&hellip;]"}