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 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...
The National Science Foundation (NSF) awarded a $307,284 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to Regents of the University of Michigan Office of Research and Sponsored Projects (doing business as University of Michigan) to conduct a collaborative research study titled "HNDS-R: Stepping Out of Flatland: Complex Networks, Topological Data Analysis, and the Progress of Science." The 3-year project, beginning September 1, 2023, will use...
This Project Grant award of $270,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of advanced computational methods for tracking and analyzing evolving patterns in large-scale networks. The project aims to create scalable and accessible tools for dynamic network analysis that can enable early detection of disease outbreaks, improved understanding of social dynamics, and enhanced network security. The...
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 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 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will develop new techniques for the analysis of social network data. The $400,000 award, with a performance period from April 1, 2025 to March 31, 2028, will be performed by the University of California, Irvine. The research aims to advance methodology for exploratory, comparative, and semi-parametric network analysis by combining innovations in machine learning...
This National Science Foundation project grant of $225,884 awarded on March 15, 2023 will fund the development of fast and scalable algorithms for mining and analyzing large dynamic graphs. Under the Integrative Activities program (CFDA 47.083), which enhances STEM competitiveness through capacity building and infrastructure development, this University of Nevada, Las Vegas project will generate new algorithmic techniques and scalable software tools. Specifically, the awardee will design...
This National Science Foundation Project Grant of $447,116 supports research into network formation and function within and between cultural groups from 2023 to 2025. Funded under the federal Social, Behavioral, and Economic Sciences program (CFDA 47.075), the grant to Trustees of Boston University will study the development of social relationships between culturally distinct populations and how individuals leverage relationships to access supportive resources. Using multilevel network models...
This $600,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research at Carnegie Mellon University to develop methods for uncovering the hidden interconnections among the components of complex networked dynamical systems. The project aims to infer the connectivity structure of systems like brain networks, power grids, and pandemic spread models where only a subset of the nodes or agents can be directly...