Project Grant 2619167
- Federal Grant Award Summary The National Science Foundation's Division of Social, Behavioral and Economic Science (Social, Behavioral, and Economic Sciences program, CFDA 47.075) awarded $210,470 to the University of Virginia on October 1, 2025, for a collaborative research project examining disruptions in the global science system. This project will be completed by July 31, 2027, and will produce empirical research findings, analytical datasets, and evidence-based insights on how geopolitical...
- Federal Project Grant Award Summary The National Science Foundation's Division of Social, Behavioral and Economic Science (Social, Behavioral, and Economic Sciences program, CFDA 47.075) awarded $144,947 to The Regents of the University of California, doing business as University of California, Berkeley, effective January 1, 2026, with a completion date of April 30, 2028. This collaborative research project examines the drivers of exchange rates through the lens of international asset prices and...
- Federal Grant Award Summary The National Science Foundation's Division of Social, Behavioral and Economic Sciences (CFDA 47.075) awarded the National Opinion Research Center (NORC) a $7.998 million Project Grant effective September 1, 2025, through August 31, 2027, to enhance and modernize the General Social Survey (GSS). The GSS, a longstanding data platform that has tracked American attitudes, behaviors, and economic circumstances since 1972, will be strengthened through three primary...
- Federal Grant Award Summary The National Science Foundation's Division of Behavioral and Cognitive Sciences awarded a $604,425 Project Grant to The Regents of the University of California, doing business as University of California, Berkeley, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The award, effective September 1, 2025, through August 31, 2028, supports fundamental research investigating how the brain leverages memory systems to guide attention while...
- Federal Grant Award Summary The National Science Foundation's Division of Mathematical Sciences (CFDA 47.049 – Mathematical and Physical Sciences) awarded $140,000 to the University of California, Berkeley on August 15, 2025, for a collaborative research project titled "Performance Guaranteed Statistical Learning with Multiple Classes of Models." The project, which extends through July 31, 2028, will develop a next-generation statistical framework called...
- Federal Grant Award Summary The Santa Fe Institute received $131,078 in funding from the National Science Foundation's Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) for a collaborative research project spanning July 1, 2025 through June 30, 2028. The award supports research investigating how geographic contexts and spatial scales influence attitude formation and interpersonal interactions at the block, neighborhood, and...
- The National Science Foundation awarded a $221,000 project grant to the University of Chicago under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The three-year grant will support collaborative research examining heterogeneity, risk premia, and macroeconomic fluctuations. The funding will enable researchers to investigate how differences across economic agents impact asset prices and aggregate outcomes. Relevant contextual details include the program's goal of...
- Federal Grant Award Summary The National Science Foundation's Division of Behavioral and Cognitive Sciences awarded a $400,000 Project Grant (Social, Behavioral, and Economic Sciences program, CFDA 47.075) to Princeton University, effective September 1, 2025 through August 31, 2028. This collaborative research initiative develops infrastructure to facilitate the study of human-artificial intelligence (AI) hybrid interactions through behavioral experiments. The primary deliverables include new...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded $133,285.00 to the University of California, Berkeley under the Mathematical and Physical Sciences program (CFDA 47.049) to support collaborative research on calibrated hypothesis testing. The award period runs from June 1, 2026 through May 31, 2029. The research will develop statistical methodologies and theory for calibrated, large-scale inference that provides individual...
- 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...
The National Science Foundation's Division of Social, Behavioral and Economic Sciences (CFDA 47.075) awarded a $300,713 Project Grant to the University of California, Berkeley, effective October 1, 2025 through June 30, 2027. This award supports fundamental research applying behavioral economics methodologies to understand mass behavior—specifically, how large groups reason collectively, how individuals form beliefs about group behavior, and how people navigate strategic powerlessness as group members. The research employs experimental design and empirical analysis to develop predictive models and conceptual frameworks that advance understanding of human institutions, collective decision-making, and the rationality of large-scale social and economic interactions. The primary deliverables include experimental datasets, empirical findings, and conceptual insights that extend behavioral economics beyond its traditional focus on individual-level optimization and small-scale strategic interaction. These products will contribute to improved understanding of mass behavior dynamics across markets, online communities, social movements, and electoral processes—areas increasingly critical to policy and institutional decision-making in an interconnected world. The research outcomes will support the development of evidence-based frameworks for predicting and analyzing collective human behavior at scale.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.7k | 3/12/26 |