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About the workshop

This virtual workshop is a continuation of the NOAA series of workshops on “Leveraging AI in Environmental Sciences.” The third event continues the successes of previous workshops and encourages participation by scientists, program managers, and leaders from the public, academic and private sectors who work in AI and environmental sciences. The theme for this year’s workshop is “Transforming Weather, Climate Services, and Blue Economy with Artificial Intelligence.” This year’s workshop is led by the NOAA Center for Artificial Intelligence (NCAI), a program in the formulation stage.

All time listed on this page is Mountain Time (UTC-6) by default. You can change to your local time zone on the right side of this page. Questions regarding the workshop can be addressed to ai.workshop@noaa.gov. View the participant handbook for how to navigate the workshop technology platforms.

Registration for the workshop is closed and this page is viewable to registered participants only. Please do not share your access code publicly.
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Monday, September 13 • 4:00pm - 4:45pm
Virtual Poster Walk - Part I
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Chairs: Brian Meyer; Yoonjin Lee

Leilei Duan – "Training the Next Generation Geodesign Practitioners for Leveraging AI in Environmental Sciences"
Abhishek Gupta – "Carbon accounting as a way to build more sustainable AI systems: An analysis and roadmap for the community"
Jaleesia Amos – "Community led efforts to capture environmental nanomaterial transformations"
Brandon Smith – "Advancing Organizational Capabilities in AI/ML through a Deep Learning Academy"
Shreya Agrawal – "Interpreting Large-Context Multi-dimensional Predictions of Precipitation Neural Networks"
Eric Loken – "Understanding next-day random forest severe weather hazard forecasts using predictor sensitivity tests and tree interpreter analysis"
Zachary M. Labe – "Climate model evaluation with explainable neural networks"
Sally Wang – "Identifying key drivers of wildfires in the contiguous US using machine learning and game theory interpretation"
Dr. Jennifer Sleeman – "Deep Learning Autoencoders for Detecting and Predicting Extreme Air Quality Pollution Events"
Randy Chase – "Next hour tornado prediction dual-polarization radar signatures gleaned from deep learning and explainable artificial intelligence"

Monday September 13, 2021 4:00pm - 4:45pm MDT
Qiqochat N/A