Report on 2023 NSF Sponsored Workshop on AI-Enabled Scientific Revolution
2023-05-14
Loading...
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Report on 2023 NSF Sponsored Workshop on AI-Enabled Scientific Revolution
Alternative title
Authors
Published Date
2023-05-14
Publisher
Type
Report
Abstract
A two-day workshop on the Al-enabled scientific revolution was held during March 8- 9, 2023, at NSF headquarters in Alexandra, Virginia. It brought together leading experts from Al and various scientific and engineering fields (including computational biology, health sciences, neuroscience, chemical and materials science, ecology, climate science, hydrology, limnology, and physics) to identify key challenges and steps that can be taken to enable the next Al revolution in the Sciences. The workshop led the discussion on a new frontier in Al, where novel Al frameworks will drive scientific inquiry, suggest novel experiments, elucidate new theories, and thus revolutionize the traditional discovery process across multiple scientific disciplines. It identified limitations of the current state-of-the-art in Al for existing grand scientific challenge problems and discussed Al advances that are needed to catalyze synergistic research across scientific communities and how these advances can be incorporated into the practice of scientific discovery. The workshop provided an opportunity to have an open conversation with a reflection on the past, present, and future of Al-enabled scientific discoveries. Through the interactions among the participants, the workshop provided an opportunity to align future objectives and new strategies for Al.
Description
Related to
Replaces
License
Collections
Series/Report Number
Funding information
NSF
Isbn identifier
Doi identifier
Previously Published Citation
Other identifiers
Suggested citation
Kumar, Vipin; Zhang, Aidong. (2023). Report on 2023 NSF Sponsored Workshop on AI-Enabled Scientific Revolution. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/270005.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.