Project Grant 2520021
- This Project Grant award of $353,568.00 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program funds a research project at the National Bureau of Economic Research (NBER) to study the history of population displacement across American towns from 1850 to 1940. The project leverages machine learning technology to create a comprehensive database of displacement events from historical newspaper records, and then merges this data with individual...
- This federal Project Grant award, provided by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program, seeks to investigate transit-induced commercial and residential gentrification and displacement through a novel integration of historical business and household microdata with street-view imagery and online data. The $396,600 award to North Carolina State University, made on August 15, 2024, will develop advanced AI techniques and tools to analyze...
- This $521,000 federal Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports a research project led by The Trustees of Columbia University in the City of New York. The project leverages large data sources and machine learning techniques to assess how neighborhood network connectedness affects rates of entrepreneurship across the United States. The researchers are developing new indicators of neighborhood connections and...
- This federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program investigates the economic, social, and demographic processes that contribute to the success of some cities while others in the same area decline. The $147,648 award, effective September 1, 2025 through August 31, 2028, will fund collaborative research to create a detailed map of ancient residential areas using LiDAR technology and conduct excavations to...
- This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $160,000 supports an early career researcher investigating legislative activities in city councils across the United States. The 2-year project, which commenced on August 15, 2024, aims to build an original dataset of legislative actions in hundreds of city councils and analyze differences in the topics and scope of those actions across cities and over time. The research will use...
- This Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $400,000 to New York University (NYU) to research neighborhood mobility patterns and their relationship to community well-being. The key products and services to be delivered include: Identifying biases in large-scale mobility data and developing methods to correct them; modeling neighborhood connectedness networks using mobility data and analyzing how...
- This $407,000 project grant awarded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to develop a novel, data-driven, AI-enhanced framework for evaluating how the physical features of cities, such as land use and street network design, impact human well-being in terms of stress, cognition, and emotional health. The project involves three phases: 1) using machine learning to group neighborhoods by form characteristics, 2)...
- This $383,941 Project Grant award from the National Science Foundation (CFDA 47.075 Social, Behavioral, and Economic Sciences) supports the development of a collaborative digital platform and research network focused on mapping the historical origins of residential segregation patterns in U.S. urban areas. The key objectives are to create an open-access digital database and GIS mapping resources that enable interdisciplinary research on the locational attainments and household-level...
- This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $106,623 to the University of Illinois will fund collaborative archaeological research to understand the relationship between people's investment in and identification with urban neighborhoods and the historical development of cities. The research team will use non-invasive geophysical survey, soil coring, and targeted excavation to compare two peripheral neighborhoods of an...
- This Project Grant award, funded by the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075), supports the construction of a new dataset from county land-use records across 20 U.S. counties over 40 years. The dataset includes information on Federal Housing Administration (FHA)-insured and Veteran's Administration (VA)-guaranteed mortgages, which will be made publicly available for evaluation by academics, policymakers, and community organizations. The...
This Project Grant award, funded by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports a research project at Yale University that aims to understand the long-term impacts of neighborhood revitalization policies on individual and family economic outcomes. The $302,586 award, with a performance period from August 2025 to July 2028, will enable the researchers to systematically analyze historical records and administrative data using advanced artificial intelligence techniques. The goal is to provide new evidence on how government policies that reshape neighborhoods affect the economic mobility and well-being of displaced families over decades. The research findings could help guide federal, state, and local place-based policies to improve infrastructure investment designs and citizens' overall well-being.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $302.6k | 7/22/25 |