Project Grant 2523659
- This $149,644 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program supports research on developing a new mathematical tool called the "Sheaf Laplacian" to model complex diffusion dynamics in hypergraphs. The research aims to enable more flexible and accurate analysis of group interactions, with applications in areas such as expert detection, community decision-making, and collaborative information flow. Key...
- This $112,158 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides funding for collaborative research to develop and apply a new mathematical tool called the Sheaf Laplacian for modeling diffusion dynamics in hypergraphs. The goal is to better capture factors like individual opinions, communication styles, and group roles in order to enable more flexible and accurate analysis of group interactions, with...
- This $150,000 Project Grant awarded by the National Science Foundation's (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) supports research on structural techniques for dense classes of graphs. The project, led by the Georgia Tech Research Corporation, will focus on developing a comprehensive understanding of graph structure, specifically by studying classes with a forbidden vertex-minor or a dependent first-order theory....
- 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 federal Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE, CFDA 47.070) program provides $300,000 to Northeastern University to develop a novel approach called "Graphides" for analyzing and predicting phenomena using sparse graph data. The project aims to establish a rigorous theoretical framework for studying the limits and properties of sparse random graph models, with applications in areas such as...
- 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, with a total funding amount of $166,285, was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The award supports the development of new mathematical approaches for analyzing complex bifurcations in high-dimensional dynamical systems. This work aims to enable quantitative and qualitative progress in the study of data-driven, detailed, and phenomenologically-reduced models with complex...
- This $314,283 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, awarded on June 15, 2025, supports research by Mississippi State University to develop a unified framework for analyzing general graph dynamics and interconnected networks. The key objectives are to: 1) Develop a theoretical framework using advanced methods to derive a generalized, interpretable model for graph dynamics; 2) Create computational...
- The National Science Foundation (NSF) awarded a $412,038 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Trustees of Boston University. The grant supports research to develop new tools for approximating computationally intractable graph problems, with a focus on improving algorithms for fundamental problems like the Traveling Salesman and k-Edge Connected Spanning Subgraph. The project aims to deepen connections between approximation algorithms...
- The National Science Foundation (NSF) awarded a $484,822 Project Grant through its Computer and Information Science and Engineering (CFDA #47.070) program to the University of Chicago. This 5-year grant, effective July 1, 2023, supports research into characterizing the properties, reliability, and sensitivity of graph neural networks (GNNs) and advancing the theoretical understanding of statistical properties in graph estimators. The goal is to transform GNNs from black-box models into...
The National Science Foundation (NSF) awarded a $136,883 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the Georgia State University Research Foundation Inc. The grant, titled "COLLABORATIVE RESEARCH: CISE CORE SMALL: AF: SHEAF LAPLACIAN ON HYPERGRAPHS: FROM THEORY TO APPLICATIONS," runs from September 1, 2025 to August 31, 2027. The grant supports research to design and explore a new mathematical tool called the "sheaf Laplacian" to better capture diffusion dynamics in hypergraphs. This will enable more flexible and accurate analysis of group interactions with applications in areas such as expert detection, community decision-making, and collaborative information flow. The project aims to develop the theory of sheaf Laplacians on hypergraphs and apply them to address challenges in diffusion modeling, influence maximization, and representation learning.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $136.9k | 7/30/25 |