Project Grant FA95501710378

This Project Grant award from the National Science Foundation (CFDA 47.075 - Social, Behavioral, and Economic Sciences) provides $318,903 to Northwestern University to conduct research on strategic behavior, beliefs, and interventions in social networks. The key projects supported under this 5-month award include: Analyzing models of how individuals learn from their social contacts and which network structures allow for accurate beliefs about a changing world. Studying strategic pricing...

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...

This $364,766 Project Grant awarded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports fundamental research on the psychology of mass behavior and how large groups of people reason, form beliefs, and interact. The research project, conducted by the University of California, Santa Barbara, aims to extend behavioral economics methods to understand how individuals respond to and reason about the behavior of large groups. Key areas...

This $272,750 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports fundamental research at the Massachusetts Institute of Technology (MIT) on how people make decisions and interact based on information. The key research focuses include: 1) understanding the long-term implications of people's limited or imperfect memory, which can lead to overconfidence and neglect of rare events; 2) examining how people decide...

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'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 Project Grant award 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 $358,156 to the California Institute of Technology to examine how genuine beliefs respond to information provided by knowledgeable sources. The research will develop a new mechanism to deliver information that allows testing for persuasion without needing to know participants' initial beliefs....

This National Science Foundation project grant awarded $100,000 to Arizona State University to fund research into opinion formation and graph dynamics on social media platforms from September 1, 2022 to August 31, 2025. The award aims to develop mathematical models of the interplay between social networks and opinion dynamics to better understand the rise of polarization and echo chambers in online discourse. A subaward of $25,000 was provided to Artis Research & Risk Modeling Corporation to...

The National Science Foundation awarded a $156,866 Project Grant to the University of Chicago under the Social, Behavioral, and Economic Sciences program. The grant will fund research developing new statistical and econometric methods for analyzing social network data. Specifically, the project aims to build methodology for incorporating high-dimensional and incomplete network data into empirical models. Researchers will create a nonparametric regression framework for networks and investigate...

This two-year project grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund $191,630 to the University of California, Los Angeles to investigate how technological progress is impacted by network connections between individuals. Specifically, the university researchers will develop an equilibrium model to analyze the interconnection between technological diffusion and discovery within social networks. The model will consider how incentives for...