Project Grant 2515368
- 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...
- 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 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 $275,000 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will support collaborative research to develop new statistical approaches for comparing and aligning networks. The research will focus on investigating optimal transport-based distances for Markov embeddings of networks, developing new methods for network alignment and comparison, and establishing theoretical results about these approaches. The...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research on how coupled processes evolve on complex networks. The $150,000 award, effective September 1, 2025 through August 31, 2028, is funding the University of Massachusetts to investigate fundamental questions about network dynamics that have broad significance across scientific and engineering fields. The project focuses on developing efficient,...
- This $300,000 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) will fund research into spectral methods for single and multiple graph inference networks. The grantee, North Carolina State University, will develop efficient parameter estimation methods for latent position graphs and valid two-sample testing procedures for comparing latent position graphs while ignoring irrelevant features. The...
- The National Science Foundation Division of Mathematical Sciences awarded $249,814 under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to the Research Foundation of the City University of New York to analyze random structures and stochastic dynamics arising across scientific disciplines. The three-year project grant will support theoretical and empirical analysis of spatial and non-spatial random graph models, stochastic processes on graphs, and network-based...
- The National Science Foundation (NSF) awarded a $155,647 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to The Pennsylvania State University (Penn State). The award, with a project period from July 15, 2025 to June 30, 2028, supports research to develop statistical methods for understanding and quantifying the influence of network interactions on individual behavior and status. Key objectives include designing a data-driven framework for estimating...
- The National Science Foundation (NSF) awarded a $239,338 Project Grant to North Carolina State University (NC State) under the Mathematical and Physical Sciences (CFDA 47.049) program. The grant will fund research on the structure and statistics of disordered systems, with applications ranging from social networks to cellular-level immune and neuron networks. The key objectives are to infer large-scale structure from system statistics and identify the relationship between these statistics and...
- The University of Southern California will receive $200,000 in funding from the National Science Foundation under the Mathematical and Physical Sciences program (CFDA 47.049) to conduct collaborative research on flexible network inference from July 1, 2021 to June 30, 2024. The goal of this three-year project grant award is to advance the scientific understanding of major problems in network analysis through flexible modeling approaches. As part of the work, the University will leverage its...
The National Science Foundation (NSF) awarded a $100,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to New York University (NYU) for the project "COLLABORATIVE RESEARCH: STATISTICAL MODELING AND INFERENCE ON DIRECTED NETWORK DATA FOR UNDERSTANDING FACULTY HIRING DYNAMICS." The research will advance the progress of science by creating new statistical tools for analyzing complex networks, which are fundamental to the nation's prosperity and welfare. The project will analyze the faculty hiring network between U.S. universities to understand how factors like institutional research productivity, geography, and field of study influence hiring dynamics. The outcomes will enhance the efficiency of the U.S. academic system and provide valuable insights for researchers and policymakers. The grant period runs from August 15, 2025 to July 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $100.0k | 8/14/25 |