Fellow Story

Hsu presents Harnessing Machine Learning for Climate Policy

Fellow(s): Angel Hsu

In her August 31 webinar for Climate Change AI, Angel Hsu explores applications of machine learning in the realm of climate policy, with a specific focus on evaluating the actions of subnational and non-state actors such as cities, regions, and corporations. In recent years, these actors have emerged as key players in driving climate action, and their efforts have the potential to significantly impact global emissions reduction targets. Leveraging machine learning techniques, we can effectively assess the initiatives and contributions of these entities towards climate mitigation and adaptation goals. This presentation showcases the diverse ways in which machine learning can analyze large-scale data sets, identify trends, and provide valuable insights for policymakers and stakeholders.

Learn more and register for the free event here. Recordings of previous webinars are also posted.