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 $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 from the National Science Foundation's Social, Behavioral, and Economic Sciences program totaling $336,644 will support research into the dynamics and mechanisms of information spread via social media. The grant to Rensselaer Polytechnic Institute from August 2022 to July 2025 aims to develop new approaches for analyzing how information flows on social media platforms and to understand the factors that influence its adoption. Researchers will analyze large datasets 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 $328,068 National Science Foundation project grant supports research on understanding information spread via social media. Funded under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), the Research Foundation of the City University of New York will conduct collaborative research with The City University of New York. Over three years, the researchers will develop new approaches combining computational social sciences, computer science, sociology, and statistics to...
This Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program ($327,276) will support research from August 2022 to July 2025 on understanding information spread via social media. The University of California, Los Angeles will analyze how information propagates on platforms and shapes opinion trends. Researchers will develop new computational models and algorithms to spot emerging topics, predict polarization, and identify factors influencing...
This $138,000 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund research on heterogeneous agent modeling of the personal data economy. With a performance period from August 2021 through July 2023, this award will support the development of models to analyze how individual behaviors and interactions shape markets involving the exchange of personal data. As part of its mission to advance the social and economic sciences, the NSF SBE...
This $297,513 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a collaborative research project led by George Mason University that explores how scientific messages about environmental adaptation shape people's decision-making, especially when their beliefs about the environment, politics, and other issues are interconnected. The project aims to clarify how adaptation choices, such as flood-proofing homes or...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $300,000 to Florida State University (FSU) supports the development of a new class of latent variable models for network data. The research aims to create models that can capture essential characteristics observed in network data from various disciplines, including the social and life sciences. Key activities include integrating and extending existing approaches to modeling...
This two-year, $276,000 National Science Foundation project grant funds statistical modeling and simulation research under the Biological Sciences program (CFDA 47.074). The grantee will develop a unified theoretical, empirical and computational framework to predict how ecological and evolutionary dynamics propagate in response to perturbations across scales over time. Using agent-based simulations of random and experimentally perturbed eco-evolutionary systems, the grantee will characterize...