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...
The National Science Foundation Division of Social and Economic Science awarded Trustees of Boston University a $449,985 project grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant period is from August 1, 2021 to July 31, 2024 and will support the development of new coevolving latent space network with attractors models to study social dynamics. Specifically, the awardee will develop modeling and statistical inference methodologies for this new class of...
This Project Grant award in the amount of $250,000 was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The funding will support research at Loyola Marymount University to develop advanced network analysis methods for studying the evolution of online social discourse and topic clusters in large-scale knowledge graphs. The project aims to create interpretable network-based similarity metrics and solvers that can...
This $287,867 federal Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant is funding research to investigate and mitigate the harmful effects of biased social media polls that can distort public opinion perception. The key goals of the project are to: 1) Identify social media polls that misrepresent public opinion and evaluate the level of demographic bias in those polls, 2) Examine the...
This National Science Foundation project grant of $360,000 awarded on August 1, 2022 under the Mathematical and Physical Sciences (47.049) program will fund the development of novel models and statistical methods for analyzing dynamic social networks and sentiment patterns. Led by Principal Investigator Dr. Jun Yan of the University of Connecticut in collaboration with subrecipient Texas A&M University, the three-year project aims to create two new models accounting for heterogeneous...
This Project Grant award, valued at $200,000.00, was provided by the National Science Foundation (NSF) under the Federal Grant Program for Social, Behavioral, and Economic Sciences (CFDA 47.075). The project, conducted by New York University (NYU), is examining the causal impact of social media usage on individual well-being and out-group animosity across multiple countries through a global field experiment. The research team is incentivizing a large sample of people to temporarily reduce...
This National Science Foundation (NSF) Project Grant award, with Catalog of Federal Domestic Assistance (CFDA) program number 47.075 for the Social, Behavioral, and Economic Sciences, provides $350,000.00 in funding from June 1, 2025 to May 31, 2028. The award aims to develop a simulation tool to model the information ecosystem, specifically how content spreads and is consumed by people in a network. Using agent-based modeling techniques, the project incorporates features of information flow,...
This Project Grant award, valued at $100,000.00, was provided by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The grant supports a collaborative research project titled "SATC: CORE: MEDIUM: TOWARD WELL-BEING BY DESIGN IN SOCIAL MEDIA" at Arizona State University (ASU). The key objectives of this project are to: 1) develop predictive models for early detection of problematic online behaviors on social media, with a focus on assessing...
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 Project Grant award of $420,103 from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research that develops a model to explain how people judge public events like rallies and marches. The project tests theoretical mechanisms related to participants' social alliances, the event's alignment with observers' values and beliefs, and preferences for order and stability to predict responses to collective actions. A series of experimental...