Project Grant CP966137010

The National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program has awarded the University of California, San Diego (UCSD) a $319,541 project grant for "Collaborative Research: Causal Structures: Experiments and Machine Learning." This 3-year research project aims to understand how economic agents develop subjective causal models and narratives to interpret information and make decisions. The researchers will conduct a series of experiments to...

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) Division of Social and Economic Science Project Grant award of $234,489 supports collaborative research at New York University (NYU) from September 1, 2023 to August 31, 2026. The primary objectives are to: Conduct a series of experiments to understand how people form subjective causal models based on observed data patterns, and how these models may be influenced by preconceptions triggered by natural contexts. This will provide insights into how economic...

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...

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 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 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $125,000 to support collaborative research on advancing the theoretical foundations of causal learning using modern machine learning tools. The key objectives are to: 1) develop methods for imputing unobserved counterfactual outcomes by integrating flexible machine learning models with statistical principles, 2) promote design-based approaches for quantifying...

This two-year Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund research titled "HOW EXPERIENCE SHAPES SPATIAL THINKING: FRAMES OF REFERENCE ACROSS AXES, AGES, AND CULTURES." With $148,000 in funding, the grantee will explore how experience influences spatial thinking through frames of reference across dimensions, life stages, and cultures. The Social, Behavioral, and Economic Sciences program at the National Science...

This $279,983 National Science Foundation project grant supports research at Brown University to develop hybrid statistical and econometric modeling methods. Funded under the NSF Social, Behavioral, and Economic Sciences program, the three-year award beginning August 2022 aims to advance modeling approaches that account for imperfect data measurement and the reality that models approximate rather than perfectly represent the world. The research will modify method-of-moments techniques to...

This two-year, $138,000 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund research into the development of social cognition in children. Specifically, the grant supports an early career scientist to conduct a large-scale investigation examining how children's understanding of other minds emerges throughout the preschool years. Leveraging recent advances in online developmental science, the fellow will validate an updated mental state...