New Energy: Tackling Climate Change with Machine Learning
Priya Donti, PhD candidate at Carnegie Mellon University, presents recent research as part of the online New Energy series.
Priya Donti, Ph.D. candidate in Computer Science and Public Policy at Carnegie Mellon University and co-founder and chair of Climate Change AI, an initiative to catalyze impactful work in climate change and machine learning, gives a talk called "Tackling Climate Change with Machine Learning" as part of the online New Energy series.
Climate change is one of the greatest challenges that society faces today, requiring rapid action from all corners. In this talk, Donti will describe how machine learning can be a potentially powerful tool for addressing climate change, when applied in coordination with policy, engineering, and other areas of action. From energy to agriculture to disaster response, she will describe high impact problems where machine learning can help through avenues such as distilling decision-relevant information, optimizing complex systems, and accelerating scientific experimentation. Donti will then dive into some of her own work in this area, which merges data-driven approaches with physical knowledge to facilitate the transition to low-carbon electric power grids.
Learn more, register, and view past New Energy talks here.
New Energy: Conversations with Early-Career Energy Researchers is an online series featuring graduate, post-doctoral, and other early-career researchers sharing their discoveries and perspectives on energy-related topics. From policy to analysis to emerging research, this bi-weekly series will give anyone interested in energy the opportunity to learn from the rising stars in the field.