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<Title>Machine Learning Models for Causal Inference Analysis + HPC</Title>
<Tagline>12-1:30pm, Wed. May 5, 2026, In person PUP 438, UMBC</Tagline>
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    <p>UMBC's <a href="https://socialscience.umbc.edu/" rel="nofollow external" class="bo">Center for Social Science Scholarship</a> will hold its last seminar in its series on generative AI, LLMs, and computational social science methods from 12-1:30 pm ET, on Wednesday, May 5, 2026, <strong>in person</strong> in room 438 of the Public Policy building.</p>
    <p>The session will cover machine learning models for causal inference and the use of UMBC's high-performance computing systems to run these and similar models.</p>
    <p><a href="https://my3.my.umbc.edu/groups/umbc-ai/posts/155870/a6c/e7253c738bce53817c8a834fdda5e5d5/web/link?link=https%3A%2F%2Fwww.ericjstokan.com%2F" rel="nofollow external" class="bo">Dr. Eric Stokan</a>, CS3 Director and Associate Professor of Political Science; <a href="https://royprouty.info/pages/about.html" rel="nofollow external" class="bo">Roy Prouty</a>, DoIT Assistant Director for Research Computing, and <a href="https://my3.my.umbc.edu/groups/umbc-ai/posts/155870/a6c/027daa0e57aaf9795056d7f3b29e04b5/web/link?link=https%3A%2F%2Fiharp.umbc.edu%2Fsai-vikas-amaraneni%2F" rel="nofollow external" class="bo">Sai Vikas Amaraneni</a>, Information Systems PhD student, will present material and give demonstrations.</p>
    <h4><a href="https://docs.google.com/forms/d/e/1FAIpQLSeaN4tKDSPMLNohN7dzxhsocOAc7gmauBHQ9DDo1QysL5IfUg/viewform" rel="nofollow external" class="bo"><strong>Register here</strong></a></h4>
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<Summary>UMBC's Center for Social Science Scholarship will hold its last seminar in its series on generative AI, LLMs, and computational social science methods from 12-1:30 pm ET, on Wednesday, May 5,...</Summary>
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<Sponsor>UMBC AI</Sponsor>
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<ThumbnailAltText>flyer forAI SEMINAR</ThumbnailAltText>
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<PostedAt>Thu, 30 Apr 2026 14:16:15 -0400</PostedAt>
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