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, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to better understand and address problematic online behaviors and their impact on user well-being in social media. The $399,988 award, effective June 15, 2025 through May 31, 2029, will support research focused on three core objectives: Developing predictive models for early detection of problematic online behaviors and assessing their...
The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Illinois. The 3-year grant, effective October 1, 2023, will fund research on reconstruction of diffusion history in cyber and human networks, with applications in epidemiology and cybersecurity. The research aims to develop fundamental theories and efficient, data-driven algorithms for identifying diffusion processes that best...
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 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 Project Grant award of $350,000.00 from the National Science Foundation's (CFDA 47.075) Social, Behavioral, and Economic Sciences program aims to develop a simulation infrastructure to model the dynamic flow of information through human networks. The project will use agent-based modeling techniques to incorporate features of information flow, network structures, and agent characteristics in order to understand how information propagates and can be influenced. The primary benefit is to...
The National Science Foundation (NSF) awarded a $543,995 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Regents of the University of Michigan. This 3-year grant, starting on September 1, 2024, aims to develop statistical tools to assess the societal impacts of predictive models and policy recommendations in order to improve social welfare. The technical focus is on leveraging the phenomenon of "performativity", where the predictive...
This $595,183 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a research project that examines the factors influencing the spread and persistence of dynamic social norms. The project investigates attributes like trend longevity, universality, shared cause, and sufficiency that can encourage individuals to adopt emerging social behaviors and beliefs, particularly in the context of addressing societal...
This $299,959 EAGER award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a project that tests theories of reinforcement to promote high-quality, balanced news and public affairs information on social media. The project team at the University of California, Davis is designing and evaluating two interventions that nudge social media algorithms to improve news and public affairs recommendations. One intervention uses...
This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research into the fundamental theories and algorithms for reconstructing diffusion history in cyber and human networks. The research aims to develop new deep learning-based methods for tracing the spread of information, diseases, and cyber threats, with applications in epidemiology and cybersecurity. The 3-year project is led by the Regents of...