{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/7b643cfb4cab4f41a18547e625d914a1\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/7b643cfb4cab4f41a18547e625d914a1-be0a2969029412a7.gif","duration":345.43,"title":"Addressing Energy Infrastructure Impacts  (JHU AI Hackathon) 🍃","description":"Hi, I'm Soho Shah, and in this video, we discuss our data-driven approach to tackling the effects of rapid energy infrastructure growth. Our team highlights the problems arising from fast-tracked energy projects and their impact on marginalized communities. We aim to ensure equitable and sustainable infrastructure development. No action requested."}