Cooperative Agreement 5802060179

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 National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) Project Grant award of $295,591 to the University of Kentucky Research Foundation will develop a deep graph neural network-based foundation model to quantify and predict place-based innovation (PBI) factors. The key products and services to be delivered include: Modeling the time and capital requirements for PBI product development and commercialization. Assessing the impacts of...

This $400,000 Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support the University of California, Irvine in developing new techniques for analyzing complex social network data. The research aims to advance methodologies for exploratory, comparative, and semiparametric network analysis, combining innovations in machine learning and statistical theory. Key deliverables include the creation of didactic materials and...

This Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund $291,152 over three years to develop new statistical and econometric methods for analyzing social network data. Northwestern University will use the funding to build new nonparametric regression frameworks and investigate the informational content of partial network data generated through referral sampling and contingency tables. The researchers will characterize the...

This Project Grant from the National Science Foundation supports the Center for Mobility Analysis for Pandemic Prevention Strategies (MAPPS) at Brown University. Funded under the NSF Engineering program (CFDA 47.041), the $999,211 award will develop tools and models to analyze human mobility and social interaction data in order to predict and prevent future pandemics. Key deliverables include organizing existing data on mobility and social mixing into a publicly available database, developing...

This Project Grant award of $300,000 from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports a study at Georgetown University to develop an evaluation methodology for measuring the impacts of implementing large language model (LLM)-based tools to assist human experts working in federal, state, and local government programs. The project will compare the performance of LLM-only, human-only, and human-LLM hybrid responses across key metrics...

This Project Grant award from the National Institute of Standards and Technology (NIST) under the Congressionally-Identified Projects program (CFDA 11.617) provides $963,000 to Southern Methodist University (SMU) to prototype a Smart and Resilient Infrastructure (SRI) toolkit. The key activities include developing household- and neighborhood-scale infrastructure and resilience assessments, creating machine learning and statistical models on infrastructure networks and resilience, implementing an...

This $279,983 National Science Foundation project grant supports research at Brown University to develop hybrid statistical and econometric modeling methods. Funded under the NSF Social, Behavioral, and Economic Sciences program, the three-year award beginning August 2022 aims to advance modeling approaches that account for imperfect data measurement and the reality that models approximate rather than perfectly represent the world. The research will modify method-of-moments techniques to...

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 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...