Cooperative Agreement AM22TMATRD00C007

This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $371,469 to the Trustees of Indiana University to develop a computational model and conduct empirical studies to understand the dynamics of how people generate subjective probability forecasts under time pressure. The key objectives are to: 1) develop a computational model to predict how people's subjective probability judgments change over time as they...

This Project Grant from the National Science Foundation (NSF), under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), provides $403,882 to Rutgers, The State University to develop improved methods for designing and analyzing audit experiments. Audit experiments are commonly used to test for discriminatory behavior but can be confounded by multiple interventions. This award will support research to disentangle causal effects by incorporating potential confounders as additional...

This federal Cooperative Agreement award, funded by the U.S. Department of Agriculture's Agricultural Marketing Service (CFDA 10.167 Transportation Services program), provides $220,999 to the University of Oregon to evaluate the Surface Transportation Board's (STB) existing rate methodologies and propose new methodologies designed for smaller rail shippers. The key objectives are to: 1) Review and identify potential improvements to the STB's existing rate methodologies, such as the...

This National Science Foundation Project Grant award under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $349,984 to The Washington University in University City, Missouri to develop innovative computational and statistical methods for quantile regression analysis of big data. The key products and services to be delivered through this 3-year award include: An efficient online framework for quantile regression analysis of data streams to enable cost-effective,...

The National Science Foundation (NSF) awarded a $131,858 Project Grant to The Trustees of Columbia University in the City of New York, Sponsored Projects Administration Division (Columbia University), under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant funds research to develop statistical approaches that improve the external validity of randomized controlled trials (RCTs) in the social sciences. Specifically, the research will make two key methodological...

This Project Grant award from the National Science Foundation's (NSF) Division of Mathematical Sciences under the CFDA 47.049 Mathematical and Physical Sciences program provides $115,000 to West Virginia University Research Corporation to develop innovative methodologies for analyzing and quantifying extremal patterns in functional data, such as daily precipitation curves, pollution levels, and intraday stock returns. The 3-year project aims to create a novel "Extremal Correlation...

This three-year project grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will provide $273,587 to develop model-based and design-based approaches to longitudinal causal decomposition analysis. Led by researchers at the University of California, Riverside, the project aims to identify modifiable risk factors contributing to social disparities. Methodological guidance, an R package, sample code, and video tutorials will be created to help researchers...

This National Science Foundation (NSF) project grant award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $369,000 to the University of North Carolina at Chapel Hill (UNC-CH) to conduct an empirical analysis of price discrimination practices in the airline industry. The research aims to gain deeper insights into the effectiveness of different price discrimination strategies, such as personalized pricing via targeted discounts and auctions for upgraded...

This three-year $269,695 project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research at Temple University to develop novel p-value based multiple testing methods for variable selection and false discovery rate control. The research aims to address longstanding issues in applying multiple testing methods to problems like identifying genetic variants influencing disease from among thousands of possibilities, and simultaneously...

This Project Grant from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $186,606 to Duke University to support research developing new algorithms and modeling techniques for optimal adaptive enrichment design in randomized clinical trials. The goal is to address increasing costs that negatively impact public health by reducing willingness to undertake clinical trials and delaying new drug...