3rd NOAA Workshop on Leveraging AI in Environmental Sciences

Chairs: Brian Meyer; Yoonjin Lee

Posters:
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"