I have just published a new research paper titled: “AI Driven Urban Heat Equity Atlas Integrating Machine Learning for Climate Risk Assessment.” This research applies artificial intelligence and machi

I have just published a new research paper titled: “AI Driven Urban Heat Equity Atlas Integrating Machine Learning for Climate Risk Assessment.” This research applies artificial intelligence and machine learning to assist in climate justice by identifying areas most affected by heat in cities around the world. The research developed an Intelligent Urban Heat and Equity Atlas of 55,871 U.S. urban census tracts that includes measures of heat exposure, characteristics of urban form, the local meteorology, and social vulnerability indicators. The research also introduced two GIS-based measures of urban heat exposure, the Vulnerability-Adjusted Urban Heat Index (VA-UHI) and the Heat Exposure Equity Index (HEEI) that can be used by urban planners to identify where exposure to heat and disadvantage combine in equitable inequity. Our findings show that socially vulnerable communities experience greater levels of urban heat exposure than less vulnerable areas. This study presents results from the analysis of 55,871 U.S. urban census tracts. The study presents results from an Intelligent Urban Heat and Equity Atlas that uses AI to integrate data for the analysis of heat exposure and climate risk in urban environments. Urban planning tools such as urban greening, the use of reflective surfaces, and increased access to cooling appliances and infrastructure can help to target intervention in the hottest areas of greatest social vulnerability. I want to appreciate my co-authors; Prof. Fadi Al-Turjman and Asst. Prof. Mubarak Taiwo Mustapha for your contributions towards the success for this research. We made a great team. ||ClimateChange ||ArtificialIntelligence ||UrbanHeatIsland || EnvironmentalJustice ||MachineLearning || ClimateRisk ||Sustainability