Project Grant 2338428

Award Date 5/15/24
Completion Date 4/30/29
Dollars Obligated $193K
Federal Grant Program
47.075
Assistance Type
Project Grant
Place of Performance
Fort Collins, CO 80521, USA
Similar Awards
This $233,955 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support a research project at The Washington University in St. Louis to develop improved methods for probabilistic data integration and record linkage without the use of unique identifiers. The central objectives are to create computationally efficient and accurate techniques for merging large datasets from multiple sources, which is a critical...
This Project Grant award of $299,996 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the development of software to improve post-linkage data analysis for federal statistical agencies, researchers, and practitioners. The project aims to address gaps in existing record linkage software by developing scalable, robust, and user-friendly implementations of advanced statistical and computational...
This $562,092 National Science Foundation project grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) funds research and data infrastructure development to support analysis of historical settlement and population growth patterns in the United States. The University of Colorado, Boulder will collaborate with the Institute for Social Research and Data Innovation at the University of Minnesota to develop gridded time series data on census tract-level variables related to...
This Project Grant award of $194,675 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to develop new econometric and statistical methods that allow researchers to draw valid conclusions from complex data in a variety of social, behavioral, and medical science settings. The key products and services to be delivered include: Developing a generally applicable reparameterization procedure for informative...
This $353,568 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program funds a research project to study the history of population displacement across American towns from 1850 to 1940. The project will leverage machine learning and historical newspaper records to create a comprehensive database of these displacements, which will then be merged with individual census data. The expanded dataset will enable analysis of the...
This $226,874 Project Grant awarded by the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) will fund research to develop new statistical tools for modeling and analyzing dependent data. The project, to be conducted by Cornell University, will focus on advancing methods for handling data dependencies in areas such as local elections, inflation modeling, spatial patterns, and environmental monitoring data. The research aims to provide...
This Project Grant from the National Science Foundation's National Center for Science and Engineering Statistics will fund the development of Bayesian statistical and machine learning methodologies tailored for complex survey and census data. Awarded $743,050 under the Social, Behavioral, and Economic Sciences program, the grant will support research at the University of Missouri from September 2022 through August 2025. The research aims to advance computational efficiency and expand...
This three-year, $674,542 National Science Foundation project grant supports research at the University of California Santa Cruz to develop Bayesian statistical and machine learning methods for analyzing complex survey data from the federal statistical system. The grant falls under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), which promotes basic research and education in these fields. Specifically, the investigators will extend existing models using data...
This National Science Foundation project grant of $281,469 will fund research at the University of Colorado Denver from August 2022 through July 2025 to advance causal inference methods for heterogeneous data fusion. Specifically, the award will support developing new approaches to empirically estimate associations and perform causal inference when individual-level data cannot be obtained due to privacy or logistical constraints. The research aims to extend statistical methodologies to...
This National Science Foundation (NSF) award, made under the Mathematical and Physical Sciences Program (CFDA 47.049), supports the development of new methods for aggregating information from multiple datasets in three key data integration problems: meta-analysis, model fusion, and transfer learning. The $172,186 project, awarded to North Carolina State University, aims to create intuitive, principled, and robust approaches to extract insights from large datasets across medical, economic, and...

This $193,038 five-year Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support research at Colorado State University to develop flexible Bayesian record linkage models. The goal is to enable more accurate linking of multiple data sets without unique identifiers, which is crucial for leveraging diverse data sources to address complex problems. The research will focus on addressing key limitations in current record linkage approaches by incorporating dependence between linking fields, handling missing data, and enabling real-time updating. The new methodologies will be applied to historical census and public records data related to freedom seekers, the captive slave trade, and Black Americans in the antebellum South. The research outputs will include a real-time updating web application to search the linked historical records, as well as educational activities such as a workshop, community field day, and PhD course.

Generated 1/28/25, 7:13 AM