Project Grant 2511615
- 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,...
- 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...
- 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...
- 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) 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...
- 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...
- Rutgers, The State University was awarded a $199,999 Project Grant from the National Science Foundation Division of Mathematical Sciences on July 1, 2021, with a completion date of June 30, 2024. The grant is funded through the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these fields and strengthen the nation's scientific enterprise. Under this award, Rutgers will conduct research to infer historical network patterns and dynamics using...
- This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences (CFDA 47.049) program seeks to advance the understanding of dynamical systems and the evolution from ordered to chaotic behavior. The $249,103 award to the Research Foundation of the City University of New York, effective July 1, 2024 through June 30, 2026, will support research aimed at developing new conceptual ideas, approaches, and theoretical frameworks to transcend the limitations of...
- 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...
- This $300,000 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program supports research on branching processes, partial differential equations, and their applications to knowledge diffusion and dynamics in heterogeneous and random environments. The research aims to advance theoretical and practical understanding of modeling systems influenced by randomness and heterogeneity, with applications spanning the physical...
The National Science Foundation (NSF) awarded a $180,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the New Jersey Institute of Technology (NJIT) for the project "Dynamics of High Dimensional Complex Networks - Stochastic Ordinary Differential Equations on Random Graphs". The project aims to develop new macroscopic models that capture the effects of network delays and local connectivity in large-scale systems, such as electrical power grids, communication networks, and disease spread models. Key deliverables include establishing new classes of autonomous McKean-Vlasov equations and formulas for characterizing rare events through large deviations principles. The project will also train graduate and undergraduate students in this research area. The award period is from September 1, 2025 to August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $180.0k | 8/22/25 |