Project Grant 2154564
- This National Science Foundation (NSF) Division of Mathematical Sciences Project Grant award to Brown University, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $180,000 in funding from August 15, 2023 to July 31, 2026. The award supports fundamental research on random functions and stochastic processes on random graphs, including the analysis of roots of polynomials with random coefficients. The project also focuses on studying the...
- The National Science Foundation (NSF) awarded a $270,000 Project Grant to Carnegie Mellon University under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The 3-year grant, effective August 1, 2024, will support research to study the properties of random graphs and networks, including computational problems and algorithms associated with such complex structures. The principal investigator will examine topics such as matchings, Hamilton cycles, and spanning trees in...
- 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 National Science Foundation awarded New York University a $136,145 Project Grant under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) from January 2023 through June 2025. The grant funding will support research focusing on problems at the intersection of combinatorics and probability with connections to other fields. Specifically, the Principal Investigator will investigate threshold phenomena in random discrete structures, with a goal of proving the Kahn-Kalai...
- 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 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...
- The National Science Foundation (NSF) Division of Mathematical Sciences has awarded a $300,000 Project Grant to Cornell University to support research on stochastic models and their properties. The key objectives of this 3-year grant, which runs from July 15, 2023 to June 30, 2026, are to: Develop novel methodologies to characterize different types of orbits exhibited by Markov semigroups on Hilbert spaces, providing a comprehensive understanding of these structures. Utilize the classification...
- 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 three-year, $260,000 project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research at Duke University on large deviations and extremes for random matrices, tensors, and fields. The grant aims to advance understanding of rare events and extreme values through analysis of nonlinear functions of random hypergraphs and matrices, with a focus on applications to social networks and reaction-diffusion systems modeling invasive...
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 algorithms. Key areas of focus include percolation models, multi-layer and temporal network models, and stochastic dynamics of infection spreading and opinion evolution. Rigorous analysis of functional connectivity within neural networks, pandemic management strategies, and pest control approaches will provide new insights. Undergraduate and graduate students will gain experience applying mathematical techniques to interdisciplinary problems through collaboration with scientists. The research delivers improved understanding of complex systems in biosciences and social sciences to inform experimental design and control strategies.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $249.8k | 4/12/22 |