Project Grant 2526151
- 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...
- This $199,944 federal Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) aims to develop advanced explainable spatial machine learning models and algorithms for clustering and predicting complex socioeconomic data. The project will create innovative, interpretable spatial machine learning methods applicable to a range of real-world problems in fields like public safety, social sciences, and advanced manufacturing. Key...
- 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 National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $350,000 is funding a research project at the University of Chicago to investigate the role of networks in influencing the outcomes of interventions across various domains, such as education, marketing, and tax decisions. The project will focus on developing new randomized experimental methods and open-source software to enable robust inference of network effects and quantify...
- The National Science Foundation awarded a $775,089 Project Grant to the National Bureau of Economic Research Inc. under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant will support research to develop innovative methods for collecting social network data inexpensively at scale. Researchers will use the new Aggregate Relational Data method to build two large datasets mapping socioeconomic relationships among vulnerable populations within local communities and across...
- This National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $318,903 to Northwestern University to conduct research on the economic theory of networks. The research will develop new models and measures of network structure to analyze applications ranging from economic development to business management. Key focus areas include: 1) how individuals learn from social contacts and the network structures that allow...
- This $400,000 Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support the University of California, Irvine in developing new techniques for analyzing complex social network data. The research aims to advance methodologies for exploratory, comparative, and semiparametric network analysis, combining innovations in machine learning and statistical theory. Key deliverables include the creation of didactic materials and...
- This federal Project Grant award of $200,934 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports the development of the GEORDYN toolkit. The toolkit will incorporate advances in artificial intelligence, computer science, and statistics to allow researchers to identify spatial and relational complexities in fine-grained data, enabling new approaches to investigating questions around collective action, event diffusion, and network...
- This Project Grant award, valued at $325,000.00, was provided by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Washington. The project develops powerful new tools for understanding complex data, leveraging cutting-edge artificial intelligence (AI) techniques to help data analysts across diverse fields make informed, automated decisions. The research introduces novel approaches to analyze messy, heterogeneous, and large...
- 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 $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 using AI tools to generate a nationwide, neighborhood-level dataset on connectedness, entrepreneurship rates, and other variables. This dataset will be made publicly available to inform future research on how neighborhood factors impact entrepreneurship and other economic outcomes. The project period runs from September 2025 to August 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $521.0k | 8/25/25 |