<?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/2e695caf0c8f4b7794b86b962f8aba6b&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/2e695caf0c8f4b7794b86b962f8aba6b-163bb4486314e950.gif</thumbnail_url><duration>338.198</duration><title>Education Policy and Impact Predictor: Enhancing Transparency for Equity</title><description>In this video, I present our datathon project focused on enhancing transparency in education policy and predicting its impact on college affordability and equity. We utilize a two-tier approach combining smart pattern matching and AI to analyze legislative bills, integrating this data with our master dataset of 21,000 U.S. colleges. Our models predict tuition changes and classify institutions based on their equity risk, providing clear insights into how policies affect different colleges. I encourage you to engage with our dashboard, which visualizes these impacts and helps you understand the real-world consequences of educational legislation. Together, we can advocate for a system that prioritizes access and fairness for all learners.</description></oembed>