Project Grant 2445809
Award Date 9/1/25
Completion Date 8/31/27
Dollars Obligated $8M
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Chicago, IL 60603, USA
Similar Awards
- This $136,727 federal Project Grant awarded on July 1, 2025 by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will fund collaborative research at the University of Chicago to advance the understanding of attitude formation across geographic scales. The project aims to: (1) examine how attitudes vary across place and spatial scale, (2) explore how the nested contexts of cities and neighborhoods shape attitude formation, and (3)...
- This federal Project Grant award of $5,179,047 from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the Regents of the University of Michigan maintains the American National Election Studies (ANES) survey - a gold-standard probability-based public opinion survey. The project uses AI and automation to enhance sample validation, data accessibility, and survey methodology. Key products and services include: Administering pre- and post-election...
- This $309,960 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will fund a research project at the University of Chicago to improve the methodology for testing coefficients in linear regressions. The project will develop new test methods that are robust to assumptions about error term distributions and sample size, allowing for more precise coefficient estimates. This research aims to enhance decision-making,...
- This $1,753,908 Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program will enable the University of Michigan's Inter-University Consortium for Political and Social Research (ICPSR) to transition its comprehensive data archive of over 20,000 studies and 6 million variables to the modernized Research Data Ecosystem (RDE) software platform. This migration will enhance the findability, usability, and security of ICPSR's vast...
- 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 $101,598 project grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Chicago. The grant funds the development of new statistical methods to help researchers, analysts, and policymakers isolate the effects of changes in business and government policies using observational data and natural experiments. Key objectives include: (a) creating computationally simple methods to precisely identify causal...
- This $899,815 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports the 2024 Cooperative Election Study (CES). The CES is a collaborative research effort involving over 50 university teams across the United States that designs and fields a large, nationally representative survey of at least 50,000 American adults. The survey data collected will measure demographics, opinions, attitudes, and voting behavior in...
- This $187,194 Project Grant award, funded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports a research study on how effectively data visualizations communicate scientific information to the general public. The researchers at the National Opinion Research Center (NORC) will conduct an online survey of 2,000 U.S. adults to evaluate their understanding and interpretation of different data visualization designs, such as bar and...
- This $245,190 Project Grant awarded by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) aims to advance the integration of modern machine learning tools, such as deep learning and Bayesian additive regression trees, into statistical modeling frameworks. The research program has two key objectives: Developing a novel Bayesian inferential framework for "generative models" - statistical models where data is viewed as stochastic outputs of...
- 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...