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  <NewsItem contentIssues="false" id="148715" important="false" status="posted" url="https://dev.my.umbc.edu/groups/csee/posts/148715">
  <Title>UMBC receive $3.8M DARPA award to assess the feasibility of scientific claims</Title>
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    <div class="html-content"><span><span>A multidisciplinary team led by UMBC COEIT researchers was awarded $3.8M from DARPA's <a href="https://www.darpa.mil/research/programs/scientific-feasibility" rel="nofollow external" class="bo"><strong>SciFy: Scientific Feasibility</strong></a> program to explore new computational methods for assessing the feasibility of scientific claims. The team is led by CSEE Professor <a href="https://userpages.cs.umbc.edu/ferraro/" rel="nofollow external" class="bo"><strong>Frank Ferraro</strong></a> and includes UMBC faculty <a href="https://www.tejasgokhale.com/" rel="nofollow external" class="bo"><strong>Tejas Gokhale</strong></a> (CSEE) and <a href="https://cbee.umbc.edu/josephson/" rel="nofollow external" class="bo"><strong>Tyler Josephson</strong></a> (CBEE), as well as colleagues from Stony Brook University, the University of Texas at Austin, and the University of Cambridge.</span></span><div><span><br></span></div><div><span><p><span>The key problem to be addressed is developing a process that can break down claims in a given scientific domain into their constituent components that can then be assessed. During the 32 month program, the researchers will develop and test their tools on three leading areas of scientific research: materials science, AI, and quantum computing. These </span><span>domains were chosen to represent a progression in scientific complexity.</span></p><p><span>Read more about this new research award </span><a href="https://umbc.edu/quick-posts/ai-to-assess-the-feasibility-of-scientific-claims/" rel="nofollow external" class="bo"><strong>here</strong></a><span>.</span></p></span></div></div>
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  </Body>
  <Summary>A multidisciplinary team led by UMBC COEIT researchers was awarded $3.8M from DARPA's SciFy: Scientific Feasibility program to explore new computational methods for assessing the feasibility of...</Summary>
  <Website>https://umbc.edu/quick-posts/ai-to-assess-the-feasibility-of-scientific-claims/</Website>
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  <Tag>darpa</Tag>
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  <Tag>scyfy</Tag>
  <Group token="csee">Computer Science and Electrical Engineering</Group>
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  <Sponsor>Computer Science and Electrical Engineering</Sponsor>
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  <PostedAt>Fri, 04 Apr 2025 17:35:36 -0400</PostedAt>
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