Project Grant 2214215
Award Date 8/15/22
Completion Date 4/18/25
Dollars Obligated $327K
Funding Federal Agency
Awarding Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Los Angeles, CA 90095, USA
Similar Awards
- This $350,000 project grant awarded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program aims to develop a simulation tool to model the information ecosystem and how content spreads through human networks. Using agent-based modeling techniques, the project will incorporate features of information flow, network structures, and agent characteristics to better understand how information propagates and how it may be influenced. The goal is to...
- 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 award from the National Science Foundation (NSF) Division of Mathematical Sciences, with the CFDA number 47.049, provides $200,000 in funding to Michigan State University (MSU) to establish a theoretical framework for characterizing information propagation within social systems. The research aims to develop novel models and strategies for analyzing large spatiotemporal datasets related to the diffusion of information, such as news, diseases, and security threats. The project...
- This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $200,000 to Duke University to conduct a cross-national study using generative artificial intelligence, social simulation models, and online experiments. The goal is to identify how social media algorithms can be redesigned to promote mutual understanding, increase trust, and reduce polarization. The research design involves training large language models...
- 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...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) provides $595,398 over 3 years to the University of Delaware to develop novel methods for understanding social influence diffusion through online social media. The key objectives are to establish "query-decision regression" as a principled decision-making framework for modeling influence spread, in contrast to conventional...
- This $286,178 Project Grant award, funded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports research on how changes in information dissemination and consumption can impact strategic decision-making and the achievement of common goals. The project aims to develop new methodological tools to measure information similarity across individuals and analyze its effects on collective action problems, coordination games, and policy...
- This $322,812 project grant, awarded by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), supports research to advance the understanding of how people engage with news online and how their behaviors evolve over time. The key products and services to be delivered include: Developing computational models to identify different types of news engagement behaviors and their progression stages, using advanced language and user modeling...
- This three-year $250,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research at Purdue University to develop robust learning and inference protocols for mitigating information pollution on social computing platforms. The investigators will define novel natural language processing and algorithmic inference tasks to characterize the similarities and...
- 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...