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Language: English Speaker: bonny p mcclain Talk Title: Decoding Climate Science with Python and Open Data Resources: What AI’s Energy Needs Mean for Our Planet In an era dominated by pressing environmental challenges, the field of geospatial analysis holds the potential to illuminate critical narratives often obscured by technical details. This project explores the use of Python-based workflows and visual storytelling tools—specifically QGIS, Blender, and Unreal Engine—to create cohesive narratives that highlight interconnected ecological issues such as deforestation, pollution, habitat destruction, and biodiversity loss. These interconnected concerns illustrate the societal detachment from ecological systems, which is further complicated by the energy demands of AI technologies and prevailing industrial practices. Through a quantitative storytelling framework that leverages urban morphometrics and social demographics, we will reveal the vulnerabilities faced by communities in the context of climate risk. This effort seeks to transition the discourse from mere technicality to impactful narratives that drive awareness and inspire meaningful action towards environmental sustainability.