A team of students led by an interdisciplinary group of faculty at the intersection of policy, economics, and computer science will use statistical and machine learning methods to assess and map the discourse of speeches (1919-2022) by applied economists on food and agricultural policy. Understanding the historical underpinnings of these policies and the political developments can provide insights into the relationship of food and agricultural policies to climate change and food security today. This project is adjacent to an NSF-funded project on wasted food and will provide opportunities to connect food and agricultural policies to social and environmental policies in the U.S.
Project Leads: Drs. Norbert Wilson, Leslie Collins, and Boyla Mainsah