4th NOAA Workshop on Leveraging AI in Environmental Sciences has ended
The interactive workshop will be a virtual event to build collaboration and initiate the active development of AI-powered applications and community standards.

We invite developers, data scientists, domain experts, social scientists, and downstream users to form small teams around different use cases that are relevant to three themes relevant to NOAA Mission Areas: Fire Weather and Impacts, AI for Ocean Conservation, and Interoperable Digital Twin Earth.

All information about workshop logistics can be found in the handbook for participants.

If you encounter issues registering for the workshop, please contact ai.workshop@noaa.gov.
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Thursday, September 8 • 11:30am - 1:00pm
Digital Twin for Earth System – AI Needs and Challenges for DT Systems

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Develop a list of potential roles for AI in DT4ES component evolution.

Session agenda:
11:30     Welcome / Housekeeping
11:35     Dev Niyogi (UT Austin): Urban Digital Twin
11:50     Jonathan Kyle (AWS): Putting Context to Digital Twin Use Cases - Introducing a Leveling Framework
12:05     Dale Durran (UW): Deep Learning Weather Prediction and Earth System Modeling
12:20     Q&A - post your questions to Slack anytime (#04_digital_twin_for_earth_systems)
12:30     Breakout rooms by Component (attendee self selection)
12:55     Main room general discussion
13:00     Session Close

Times above are in Mountain Daylight Time (UTC - 6). Lightning talks are roughly 10-15 minutes each followed by a Q&A with the speakers. We'll use Slack to pose questions to the speakers and to build community throughout the workshop.

avatar for Rob Redmon

Rob Redmon

Scientist, NOAA Center for AI
Dr. Rob Redmon is a senior scientist with NOAA's National Centers for Environmental Information (NCEI). He is the Lead for NOAA's Center for Artificial Intelligence (NCAI, noaa.gov/ai), and the Space Weather Follow On (SWFO) Science Center.


Dev Niyogi

Professor, University of Texas - Austin

Dale Durran

Professor, University of Washington

Thursday September 8, 2022 11:30am - 1:00pm MDT
Virtual - Zoom