Climate Policy

Climate policy research focuses on analyzing and improving strategies to mitigate climate change, primarily through the development and implementation of effective national and international policies. Current research employs machine learning techniques, such as natural language processing (NLP) and reinforcement learning, to analyze policy documents, extract key targets, and model the complex interactions between policies and environmental outcomes. This work aims to enhance the accessibility and effectiveness of climate policy by automating data analysis, improving the design of international agreements, and providing more nuanced insights into policy framing and impact. Ultimately, these advancements contribute to a more data-driven and informed approach to tackling climate change.