This award funds a research project that uses existing administrative records to understand the long-term impacts of neighborhood revitalization policies on individual and family economic outcomes. Government interventions that reshape neighborhoods may have profound and lasting effects on residents' economic mobility and well-being. While prior research has studied the effects of these projects on local economies and property values, very little is known about what happened to the families displaced by neighborhood revitalization over decades. By linking historical Census records with modern administrative data, the researchers employ Large Language Models (Artificial Intelligence) to systematically analyze and classify thousands of original source documents, including newspaper articles, project reports, and archival records, enabling systematic extraction of information. The researchers analyze how government policies affected multiple aspects of family well-being including health, labor market outcomes, housing quality, and geographic mobility. Understanding the long- run consequences of economic development policies serves the national interest by providing evidence to guide place-based policies at federal, state, and local levels that affect millions of urban and rural American families. Ultimately, the research findings could help the United States develop infrastructure investment designs and improve citizens’ wellbeing. This award funds a research project provid