Urban trees play a critical role in shaping healthy, resilient communities—providing shade, improving air quality, reducing flood risk, and enhancing public well-being. Yet, during extreme weather events such as windstorms, hurricanes, and ice storms, trees can become significant hazards, causing power outages, infrastructure damage, and safety risks. Currently, there is no reliable, proactive system for identifying high-risk trees and integrating that information into local planning. The TREE-CARE project addresses this gap by developing a science-based, data-driven, and community-centered framework for assessing and managing tree-related hazards. Through close collaboration with municipal partners, utility companies, and residents in Oklahoma, this project will empower communities with the tools and knowledge needed to reduce risk, enhance infrastructure resilience, and adapt to increasingly severe weather conditions. By advancing cross-disciplinary methods that integrate engineering, artificial intelligence, environmental, social and economic aspects, along with constant public engagement, TREE-CARE supports NSF’s mission to promote innovative research that addresses pressing societal challenges and strengthens community preparedness. TREE-CARE will integrate AI-powered image recognition, numerical fragility modeling, and hazard data to identify individual trees at risk of failure during high-wind or ice events. The project will develop models that link tree structure (