Project Grant 2401020

Award Date 10/15/23
Completion Date 8/31/26
Dollars Obligated $180K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Fort Collins, CO 80521, USA
Similar Awards
This $292,362 federal Project Grant award, provided by the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program, aims to develop new mathematical theory and statistical tools for monitoring changes in complex systems, such as global trade networks. The project will provide real-time change detection methods with theoretical guarantees for identifying atypical patterns in comprehensive trade databases, with...
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 $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...
The National Science Foundation (NSF) awarded a $175,000 Project Grant under the Mathematical and Physical Sciences (MPS) program to North Carolina State University (NC State) for the project "Scalable and Generalizable Inference for Network Data". The project aims to advance the statistical analysis of complex digital networks by addressing challenges in accurately reflecting network realities and efficiently managing their vast scales. Key products and services to be delivered...
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 Project Grant award of $250,199, awarded on February 15, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of a scalable software infrastructure for analyzing complex networks. The project aims to create foundational algorithms and software to enable scalable, portable, and user-friendly graph analysis, facilitating the study of complex networks with trillions of edges across scientific...
This $229,461 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports the development and analysis of novel self-supervised probabilistic graph structure learning models. The goal is to uncover latent representations hidden within large datasets, which can provide valuable insights across diverse applications like cancer research and environmental analysis. The research will involve creating advanced mathematical models,...
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 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $250,000 to the New Jersey Institute of Technology (NJIT) for a 3-year collaborative research project focused on developing advanced community detection and graph clustering methods for analyzing large network datasets. The key objectives are to create highly efficient software implementations of new community detection algorithms that can...
This $196,472 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support a research project led by Northwestern University. The overarching goal of the 5-year project is to develop a systematic framework for predicting how biological fitness in eukaryotic model systems is influenced by combinations of genetic mutations and environmental factors, including genetic, chemical-genetic, and drug-drug interactions. The...

This $180,000 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development of novel community detection tools and frameworks for analyzing weighted network data, with a focus on applications in bioinformatics and biological science. The primary goals are to identify highly correlated gene modules by leveraging covariance or correlation matrix representations, and to provide a systematic, computationally efficient, and theoretically rigorous approach to this challenge. The project will involve mentoring undergraduate and graduate students in statistics, data science, and bioinformatics research. No subcontracts are planned under this award, which runs from Oct 2023 to Aug 2026 and is led by researchers at Colorado State University.

Generated 8/6/24, 9:30 AM