Project Grant 2117694

This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program totaling $185,441 aims to examine individual differences and cognitive processes underlying belief revision. The project seeks to quantify and understand four types of belief revision distortions: valence-driven, identity-driven, self-serving, and conservatism. By measuring these distortions at the individual level across multiple controlled tasks, the project...

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 (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...

This $195,213 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund the University of Southern California's investigation of misinformation beliefs expressed and spread online from September 2021 through August 2022. A sub-award of $TBD will support related research efforts at the University of California, Los Angeles. The goal of the NSF's Social, Behavioral, and Economic Sciences program is to support basic research that contributes to...

This Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $269,376 to the University of Michigan from October 1, 2022 to September 30, 2025. The grant supports research to develop computational models and algorithms that promote truth discovery and robust social learning on social media platforms. Specifically, the university researchers...

This Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program ($149,426) supports a comparative study of public opinion and elite rhetoric in the United States, United Kingdom, and Germany during the Russian invasion of Ukraine from May 2022 through April 2023. Led by researchers at Stony Brook University, the award allows for collection and analysis of survey and social media data to examine concepts like "rally around the flag" and...

This $281,331 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support research at Brown University to investigate how individual biases and adversarial group dynamics can lead to high-quality decision-making. The proposed 3-year research program will conduct behavioral experiments to examine how ideologically diverse groups with adversarial viewpoints (e.g. from competing political parties) outperform more...

This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $160,000 provides funding for a 2-year postdoctoral fellowship to support an early career scientist examining information integrity. The project aims to develop and test an approach using "social queries" to reduce the dissemination of inaccurate information online. The research will involve 3 parts: 1) experimental testing of applying social queries, 2) large-scale...

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...

The National Science Foundation awarded a $750,000 Project Grant under the Integrative Activities program (CFDA 47.083) to the University of Michigan for the period of October 1, 2021 through September 30, 2022. The grant supports the NSF CONVERGENCE ACCELERATOR TRACK F: MISINFORMATION JUDGMENTS WITH PUBLIC LEGITIMACY project. Under the award, the University of Michigan will lead efforts to examine the public's attitudes toward the legitimacy of different approaches for identifying inaccurate...