Project Grant 2220373
Award Date
8/1/23
Completion Date
7/31/26
Dollars Obligated
$200K
Federal Agency
Division of Mathematical Sciences
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
East Lansing, MI 48824, USA
Similar Awards
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 $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...
This $350,000 National Science Foundation project grant supports statistical modeling research for complex networks at the University of Michigan from September 2022 through August 2025. Funded through the NSF's Mathematical and Physical Sciences program (CFDA 47.049), the award aims to develop new statistical methodologies and theory to incorporate higher-order structures into network modeling. Specifically, the investigators will study leveraging subgraphs and other higher-order structures...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $300,000 over a 3-year period from August 2024 to July 2027 to the Regents of the University of Michigan to conduct research on the mathematical and computational modeling of networked systems. The key research areas include: 1) Creating accurate mathematical models of network structures to enable realistic simulations using limited data; 2) Developing...
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 $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...
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 National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award to Michigan State University (MSU) in the amount of $252,831 supports the development of guidelines for reporting about network data. The project aims to facilitate the collaborative development of these guidelines, which will enable network researchers to describe their data clearly, consistently, and transparently. This will enhance the value of existing network research by...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $155,647.00 to The Pennsylvania State University (Penn State) to develop statistical methods for understanding and quantifying network interference, which describes how an individual's behavior or status is influenced by others through network interactions. The key goals of the project are to: (1) design a data-driven framework for estimating heterogeneous...
This Project Grant award of $314,283 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop a unified framework for analyzing general graph dynamics and interconnected networks. The primary objectives are to: 1) derive a generalized, interpretable framework for graph dynamics using advanced methods like sparse symbolic dynamics and probabilistic modeling; 2) investigate how dynamics in one network, such as disease-spreading or...