Project Grant 2408008

Award Date 8/15/24
Completion Date 7/31/27
Dollars Obligated $238K
Awarding Federal Agency
Division of Mathematical Sciences
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Newark, DE 19716, USA
Similar Awards
The National Science Foundation Division of Mathematical Sciences awarded a $240,002 Project Grant to the University of Delaware from September 1, 2021 to August 31, 2024 under the Mathematical and Physical Sciences (47.049) federal grant program. The grant supports research into Neural Network Learning for Graph Data. The University of Delaware will develop methodologies, theoretical frameworks, and perform simulation and experimentation to advance the mathematics and science of graph neural...
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 (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 federal Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports collaborative research on the implications of self-similar structure in dynamical networks. The $128,950 award made on August 15, 2024 will fund research projects that bridge analytical theories of fractals and differential equations on fractals with applications in network science. The research aims to develop new tools for the analysis, prediction, and...
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...
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 program (CFDA 47.049) provides $200,000 to conduct fundamental research on mathematical models that describe complex interactions, growth, and motion in irregular environments with stochastic unpredictability. The goal is to discover general mathematical laws that govern such systems, which have implications for a wide range of real-world phenomena including traffic, communication networks,...
The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $250,000 Project Grant to the University of Central Florida (UCF) under the Mathematical and Physical Sciences program (CFDA 47.049). The three-year grant, effective August 1, 2023 through July 31, 2026, supports research to develop extensions and analytical techniques for Generalized Dot Product Graph (GDPG) network models, with a focus on applications in brain science, medical research, molecular biology,...
This National Science Foundation project grant of $164,006 awarded on March 1, 2023 will support research applying algebraic and topological methods in graph theory to complex network models throughout the sciences. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), the award to Southern Illinois University Carbondale will advance understanding of quantitative graph measures and their structural properties. Researchers will develop graph invariants accounting for...
This Project Grant award of $350,000 from the National Science Foundation's (CFDA 47.049 - Mathematical and Physical Sciences) supports research by The Trustees of Princeton University to understand the underlying structure and properties of large and complex datasets. The key goals are to develop mathematical and computational methods for efficiently embedding high-dimensional data into simpler, lower-dimensional spaces without significant distortion. This work has applications across diverse...

This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) provides funding of $238,061 to the University of Delaware from August 15, 2024 to July 31, 2027. The award supports the Principal Investigator's research to develop a systematic mathematical approach for analyzing and visualizing large complex networks, such as social networks, biological networks, and neural cell networks. The key research objectives include extracting large-scale network features using mathematical limit theories, investigating the robustness and consistency of spectral seriation and its generalization to higher dimensions, and employing graphons to model stochastic networks. The funding will also enable the PI to supervise student research and organize educational outreach events at the university level and for high school students. No sub-awards are planned under this grant.

Generated 5/13/25, 5:25 AM