Project Grant 2311024
Award Date
8/15/23
Completion Date
7/31/26
Dollars Obligated
$275K
Federal Agency
Division of Mathematical Sciences
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Los Angeles, CA 90089, USA
Similar Awards
The University of Southern California will receive $200,000 in funding from the National Science Foundation under the Mathematical and Physical Sciences program (CFDA 47.049) to conduct collaborative research on flexible network inference from July 1, 2021 to June 30, 2024. The goal of this three-year project grant award is to advance the scientific understanding of major problems in network analysis through flexible modeling approaches. As part of the work, the University will leverage its...
The National Science Foundation awarded a $275,000 Project Grant to the University of Southern California under the Mathematical and Physical Sciences program (CFDA 47.049) from July 1, 2023 to June 30, 2026. The grant funds the development of new exploratory data analysis and inference methods for complex data that lack fundamental vector space properties. The university will create a practical toolkit of theoretically sound, user-friendly tools to enable common data analysis tasks like...
The University of Southern California was awarded a three-year, $750,000 Project Grant from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support the development of quantitative network analytics from pre-launch through post-operation phases. Specifically, the University will synthesize approaches for analyzing complex network dynamics and behaviors...
The University of Southern California was awarded a $120,000 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant will support collaborative research to develop new classification theory and methods for addressing challenges related to objective asymmetry, small sample sizes, labeling ambiguity, and determining feature importance. The research aims to advance scientific...
This $152,997 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research at the University of Southern California (USC) on computer-intensive statistical inference methods for high-dimensional and massive datasets. The project aims to develop efficient, scalable, and statistically robust inferential procedures for two classical problems - change point detection/identification and computationally-aware statistical...
The University of Southern California (USC) received a $302,342 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to conduct collaborative research on developing techniques for mathematically understanding deep learning models and their performance on given tasks and data. The project aims to analyze neural network behavior based on how the models convert inputs to outputs, with the goal of enabling...
The National Science Foundation awarded a $249,999 Project Grant to the University of Southern California under the Mathematical and Physical Sciences program (CFDA 47.049) from August 2023 through July 2026. The grant funds theoretical and applied research to advance understanding of random forest machine learning techniques. The university will study when and why random forests perform well or fail, with the goal of providing practitioners more confidence and guidance in application....
The National Science Foundation awarded a $640,000 Project Grant to the University of Southern California under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to support research on dynamical approaches for complex stochastic systems from July 2022 to June 2025. The principal investigators will undertake multiple research projects with a focus on dynamic optimization and game problems involving complex stochastic systems. This includes new methodologies for general...
The National Science Foundation awarded the University of Southern California a $138,730 Project Grant under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant will fund research from June 2023 to May 2026 aimed at advancing understanding of the computational complexity of certain fundamental numbers and polynomials in algebraic combinatorics. Specifically, the university will study the asymptotics and complexity of computing structure constants such as...
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...