The second round of abstract submissions is now open until June 28th, 2024: More Information
1st Science Understanding through Data Science Conference
August 21-23rd, 2024
California Insitute of Technology, Pasadena, CA
To increase the speed, depth, and rigor of scientific return
by revealing new connections through data science.
Recent interdisciplinary collaborations between physical scientists and data scientists have yielded significant advancements in both fields. In order to establish a strong community of science and data science collaborators, we invite researchers, practitioners, leaders, and students to join us for our inaugural SUDS Conference.
This three-day conference will feature…
- Keynotes and panels from experts in SUDS-like collaborations
- Townhalls for findings from our Workshop by institutional leaders
- Technical posters and talks by researchers and students in this fast-growing community
Dates and Logistics
First Round Deadline: May 31st, 2024, 23:59 PDT- Second Round Deadline: June 28th, 2024, 23:59 PDT
- Conference: August 21-23rd, 2024
- Location: Chen Neuroscience Research Building, California Institute of Technology, Pasadena, CA
- Attendees: 200 participants, accepted authors prioritized
Contributors
Keynote Speakers
 |
Dr. Amy McGovern is the director of the NSF AI Institute on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES), and holds dual appointments in the School of Computer Science and the School of Meteorology at the University of Oklahoma. Her research focuses on developing and applying machine learning and data mining methods for real-world applications with a special interest in high-impact weather phenomena including tornados, hail, severe wind events, flooding, drought, and aircraft turbulence. |
| … four more keynote speakers will be announced soon! |
Organizing Committee
- Lukas Mandrake (NASA/Caltech JPL; Earth Data Science and Technology)
- Erika Podest (NASA/Caltech JPL; Carbon Cycle and Ecosystems)
- Ryan McGranaghan (NASA/Caltech JPL; Machine Learning and Instrument Autonomy)
- Jake Lee (NASA/Caltech JPL; Machine Learning and Instrument Autonomy)
- Sam Berndt (NASA/Caltech JPL; Future Technology Exploration and Infusion)
Steering Committee
- Anthony Arendt (University of Washington; eScience Institute)
- Chris Bard (NASA Goddard; Center for HelioAnalytics)
- Rajesh Gupta (UC San Diego; Halıcıoğlu Data Science Institute)
- Amy McGovern (University of Oklahoma; NSF AI2ES AI Institute)
- Barbara Thompson (NASA Goddard; Center for HelioAnalytics)
- Kiri Wagstaff (AAAS Science & Technology Policy Fellow)
Thank you for your interest, and we hope to see you there!