<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/7b643cfb4cab4f41a18547e625d914a1&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/7b643cfb4cab4f41a18547e625d914a1-be0a2969029412a7.gif</thumbnail_url><duration>345.43</duration><title>Addressing Energy Infrastructure Impacts  (JHU AI Hackathon) 🍃</title><description>Hi, I&apos;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.</description></oembed>