by Amanda K. Hirsch
Northeastern University Professor and Institute for Experiential AI faculty member Auroop Ganguly will participate in a panel at an event hosted by the National Academies of Sciences, Engineering, and Medicine happening Monday, February 7, 10, and 11, 2022.
The event titled, Machine Learning and Artificial Intelligence to Advance Earth System Science: Opportunities and Challenges — A Workshop, brings together presenters, panelists, and attendees from the research and practice communities who are at the forefront of developing artificial intelligence (AI) and machine learning (ML) methods for both predictive understanding of earth system sciences and the cross-linkages of these sciences with human-engineered and social systems.
Earth system sciences involve the study of our planet’s natural make-up; the ground, the water, the air, and how the physics and biogeochemistry of these elements react when designing climate or Earth system models.
Human-engineered systems range from physical, human-made structures on Earth, like buildings and bridges, to power plants, irrigation systems, transportation networks, and more. Social systems include human institutions and communities. Together, these separate disciplines affect and influence global concerns such as climate change, food-energy-water sustainability, and biodiversity.
In his presentation titled, “Artificial Intelligence and the Convergence of Complexities in Coupled Complex Natural Engineered Human Systems,” Ganguly discusses how the shortcomings of each of these disciplines, when combined, make their challenges that much more difficult. He also shares how AI systems informed by scientific theory, engineering principles, social science knowledge, and policy imperatives can provide credible solutions to these problems.
“I am hoping the audience takeaways will be both the enormous barriers as well as the significant opportunities that exist in both research directions and best practices in this truly interdisciplinary area,” said Ganguly. “The audience will hopefully also see how despite many remaining challenges, AI/ML can offer hope of serious progress, but only when informed by theory and domain understanding.”
Learn more about Auroop Ganguly’s work at Northeastern University and the Institute for Experiential AI by watching this video featured in the institute’s Faculty Friday series or contact the institute to see how our experts can help with your next AI project.