Project Grant 1918445

This $474,942 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will fund research at Duke University to evaluate the impacts of declining public R&D investment and the pivot away from defense innovation in the U.S. The research aims to (i) examine the effects of federally-funded R&D on the development of complex, science-based "deep tech" innovations, and (ii) assess the impacts of major cuts to...

This $100,000 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support research to explore how technological changes are impacting worker skills and employment. The project will analyze future skill demands driven by technological disruption and develop effective, affordable educational approaches to enable workers, especially those without college degrees, to reskill and upskill. The research aims to leverage...

This three-year, $279,847 project grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) will fund research using administrative data to study private business investment in the United States. The primary products will be the development of new theoretical frameworks and empirical models to measure self-created intangible investments by privately-owned firms that are often transferred upon sale. This will advance understanding of these latent...

This $400,000 Project Grant awarded by the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) supports research to understand how socioeconomic heterogeneity within the U.S. scientific workforce impacts scientific discovery and innovation. The project aims to (i) create a unique individual-level dataset linking researcher socioeconomic backgrounds to scholarly topics, (ii) make an anonymized version of this dataset publicly available, (iii)...

This National Science Foundation award of $379,348 provides funding from April 1, 2022 to March 31, 2025 under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to the University of Notre Dame du Lac. The award will support research assessing the impact of increased human capital on labor market outcomes and political attitudes in developing countries. The principal investigator will leverage census and other individual-level data, as well as policy variation from free...

This $285,504 EAGER award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports a two-year research project to measure the impact of university innovation facilities on real estate markets and R&D space supply and demand across the top 100 U.S. metropolitan areas. The project aims to collect and analyze data on four key outcome variables: R&D space demand, R&D space supply, business establishment clustering, and...

This Project Grant award, provided by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, will fund a $428,460 research program at the University of Chicago to develop improved econometric methods for understanding earnings heterogeneity in matched employer-employee data and intergenerational mobility. The research program consists of three projects: 1) re-examining the role of firm heterogeneity, worker heterogeneity, worker...

This Project Grant award, with a total funding amount of $299,139, was provided by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The award supports research to evaluate the impact of accelerated government R&D funding for small technology businesses, with a focus on understanding the role of timing between SBIR/STTR grant rounds and its impact on technology outcomes and program success. The research will use data on federal R&D funding...

This $285,000 federal Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) will fund research to develop new statistical methods to guide economic and public policy decisions in rapidly changing environments. The research aims to build on recent advances in statistical decision theory, causal inference, and machine learning to create econometric models that can effectively inform evidence-based policymaking while...

This Project Grant from the National Science Foundation Division of Social and Economic Science under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075) provides $186,904 to Duke University from August 15, 2022 to July 31, 2025. The grant supports research to develop quantitative frameworks analyzing the macroeconomic implications of imperfect competition in labor markets. Researchers will build on existing oligopsony models incorporating heterogeneous workers...