NETL researchers will share their internationally recognized geo-data science and artificial intelligence/machine learning (AI/ML) expertise through an invited talk and other sessions during the American Geophysical Union (AGU) Fall Meeting, held in New Orleans, Louisiana, Dec. 13-17. Kelly Rose, geo-data scientist and technical director for the Lab’s Science-based Artificial Intelligence/Machine Learning Institute (SAMI), will share her group’s work blending geoscience with AI and ML during a session at 1:45 p.m. ET, Wednesday, Dec. 15. This innovative work is advancing energy, environmental justice, climate, data management and resource characterization applications. Rose’s invited talk, titled “Improving Prediction of Subsurface Properties Using Geoscience Informed, Multi-Technique, Artificial Intelligence Approach,” will cover how advancements in data science and AI techniques have significant potential to improve analysis and prediction of subsurface properties, even in areas with limited pre-existing data.