{"version":"1.0","provider_name":"Salzburg Research Forschungsgesellschaft","provider_url":"https:\/\/www.salzburgresearch.at\/en\/","author_name":"Birgit Strohmeier","author_url":"https:\/\/www.salzburgresearch.at\/en\/author\/birgit\/","title":"AI Technologies for Climate-Friendly Cities - Salzburg Research Forschungsgesellschaft","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"BCSQoJ9S5o\"><a href=\"https:\/\/www.salzburgresearch.at\/en\/2026\/ai-technologies-for-climate-friendly-cities\/\">AI Technologies for Climate-Friendly Cities<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.salzburgresearch.at\/en\/2026\/ai-technologies-for-climate-friendly-cities\/embed\/#?secret=BCSQoJ9S5o\" width=\"600\" height=\"338\" title=\"&#8220;AI Technologies for Climate-Friendly Cities&#8221; &#8212; Salzburg Research Forschungsgesellschaft\" data-secret=\"BCSQoJ9S5o\" 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:\/\/www.salzburgresearch.at\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/www.salzburgresearch.at\/wp-content\/uploads\/2026\/08\/KI-Technologieradar_web.jpg","thumbnail_width":1000,"thumbnail_height":667,"description":"In what ways can artificial intelligence help cities and municipalities to achieve climate neutrality and adapt to climate change? The CityclimAIte study examines 29 AI solutions for municipal applications, providing decision-makers with practical guidance through an interactive technology radar. 29 AI solutions for five municipal application areas Cities and municipalities are facing an increasing number of challenges posed by heat, heavy rainfall, and other consequences of climate change. At the same time, however, digital technologies are providing new ways to plan and manage energy, mobility, and urban infrastructure more efficiently. The study &#8220;cityclimAIte: AI Applications for Achieving and Supporting Climate-Neutral Cities&#8221; analyzed 29 AI solutions for this purpose. The study focuses on five areas of municipal application: The applications examined were evaluated based on criteria including technological maturity, impact, feasibility, complexity and legal framework. The study therefore provides a basis for prioritising potential AI applications that can be compared. At the same time, it shows [&hellip;]"}