Climate change is one of the greatest challenges that society faces today, requiring rapid action from all corners. In this talk, I 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, I 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. I will then dive into some of my own work in this area, which merges data-driven approaches with physical knowledge to facilitate the transition to low-carbon electric power grids.
Faculty and staff
Division of Environment and Sustainability
Interdisciplinary Programs Office
Division of Public Policy
Presented by Prof. Priya L. DONTI and moderated by Prof. Masaru YARIME, IPO Sustainability Seminar “Tackling Climate Change with Machine Learning” will be held on 4 November 2022 (Friday). The seminar will discuss how machine learning can be utilized as an effective tool for tackling climate change when it is applied in coordination with policy, engineering, and other fields of action.