KDD 2025 Panel on AI for Science
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 high- light the transformative potential of cross-disciplinary partnerships in shaping the future of both AI and science.
Authors
- Aidong Zhang (ORCID: https://orcid.org/0000-0001-9723-3246)
- Vipin Kumar (ORCID: https://orcid.org/0000-0002-9040-2665)
- Yan Liu (ORCID: https://orcid.org/0000-0002-7055-9518)
Institutions
- University of Southern California (US)
- University of Minnesota (US)
- University of Virginia (US)
Publication Details
- Published
- 2025-08-03
- DOI
- https://doi.org/10.1145/3711896.3742464
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00