Project Grant 2514053
- 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 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...
- 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,...
- 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 $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 federal Project Grant was awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The goal of the research is to develop accurate mathematical models and computer simulations for studying non-equilibrium systems with memory effects, such as those found in biosystems, plasma evolution, and solid-state nanostructures. The Principal Investigator will focus on analytical and numerical approaches to statistical transport...
- 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 $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 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $219,999.00 to the University of North Carolina at Chapel Hill to investigate the behavior of large systems of interacting particles over time and space. The research aims to develop new mathematical tools to study the convergence toward stable configurations and atypical behaviors of such systems, which have applications in areas like cloud computing,...
- 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...
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, data-driven methods to simulate and learn from large-scale systems of coupled agents, as well as inferring unknown functional parameters from limited data. The research aims to improve model accuracy and computational efficiency for heterogeneous network systems through model reduction techniques and PDE-constrained optimization. The project also promotes STEM education through student training and community engagement activities.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $150.0k | 8/7/25 |