{"id":2132,"date":"2025-06-26T18:26:56","date_gmt":"2025-06-26T18:26:56","guid":{"rendered":"https:\/\/kdd2025.kdd.org\/?page_id=2132"},"modified":"2025-08-01T02:32:00","modified_gmt":"2025-08-01T02:32:00","slug":"kdd-ai-science-panel","status":"publish","type":"page","link":"https:\/\/kdd2025.kdd.org\/kdd-ai-science-panel\/","title":{"rendered":"KDD AI & Science Panel"},"content":{"rendered":"\n

AI & Science Panel<\/strong><\/h2>\n\n\n\n

Wednesday, August 6th<\/sup>, 8:45 AM- 10:15 AM<\/em><\/strong><\/p>\n\n\n\n

Abstract<\/em><\/strong><\/p>\n\n\n\n

Artificial Intelligence (AI) is rapidly reshaping the landscape of scientific discovery by enabling the development of novel models that tackle complex, data- and computation-intensive problems. Scientific challenges, in turn, provide rich, use-inspired settings that push the boundaries of AI research. This virtuous cycle is increasingly driven by cross-disciplinary collaboration, where advances in AI and domain sciences co-evolve to accelerate innovation. In this plenary panel, we will examine the opportunities and challenges in designing cutting-edge AI models for scientific discovery, and highlight the transformative potential of cross-disciplinary partnerships in shaping the future of both AI and science.<\/p>\n\n\n\n

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Wei Wang<\/strong>
UCLA<\/h2>\n<\/div>\n<\/div>\n\n\n\n
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Jennifer Dy<\/strong>
Northeastern University<\/h2>\n<\/div>\n<\/div>\n\n\n\n
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Ian Foster<\/strong>
University of Chicago & Argonne National Laboratory<\/h2>\n<\/div>\n<\/div>\n\n\n\n
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Tanya Berger-Wolf<\/strong>
Ohio State University<\/h2>\n<\/div>\n<\/div>\n\n\n\n
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Madhav Marathe<\/strong>
University of Virgina<\/h2>\n<\/div>\n<\/div>\n\n\n\n
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Chaitanya K\u00a0Baru<\/strong><\/strong>
National Science Foundation
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AI & Science Panel Wednesday, August 6th, 8:45 AM- 10:15 AM Abstract Artificial Intelligence (AI) is rapidly reshaping the landscape of scientific discovery by enabling the development of novel models that tackle complex, data- and computation-intensive problems. Scientific challenges, in turn, provide rich, use-inspired settings that push the boundaries of AI research. This virtuous cycle […]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-2132","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/pages\/2132","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/comments?post=2132"}],"version-history":[{"count":31,"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/pages\/2132\/revisions"}],"predecessor-version":[{"id":2471,"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/pages\/2132\/revisions\/2471"}],"wp:attachment":[{"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/media?parent=2132"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}