Project Grant 2105345
Award Date
9/1/21
Completion Date
8/31/24
Dollars Obligated
$518K
Federal Agency
Office of Advanced Cyberinfrastructure
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Stanford, CA 94305, USA
Similar Awards
The University of Notre Dame received a three-year, $254,860 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research to develop multifidelity uncertainty quantification methods through model ensembles and repositories. Specifically, the University will conduct collaborative research on computational dynamics and engineering (CDS&E) to advance multifidelity uncertainty...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $450,000 to The Trustees of the University of Pennsylvania from January 2022 through September 2024. The funding supports research to develop new theoretical foundations for uncertainty quantification in non-convex, low-complexity models used in data-driven applications. Specifically, the awardee will conduct research to construct optimal confidence...
This $400,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program will support research at The Leland Stanford Junior University (Stanford University) from October 1, 2024 to September 30, 2027. The goal of the project is to develop innovative computational methods that integrate classical and quantum algorithmic tools within the fields of statistics and operations research. The research will focus on applications...
This three-year, $200,000 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program will fund the development of more computationally efficient methods for solving high-dimensional problems that commonly arise in scientific, engineering, and commercial computing. Specifically, the grant recipient, Stanford University, will improve randomized quasi-Monte Carlo sampling techniques and develop a median-of-means strategy to better handle problems involving large...
This Project Grant from the National Science Foundation's Engineering Directorate (CFDA 47.041) provides $338,078 to Purdue University from October 2021 through September 2024 to advance multifidelity modeling and simulation techniques for engineering design under uncertainty. The award supports the development of novel methods to extract and adapt physics-based information encoded in field responses from computational models of varying fidelity. This will be achieved by combining...
The National Science Foundation (NSF) awarded a $444,679 Project Grant to Stanford University under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports a collaborative research project focused on developing "statistical and algorithmic foundations for distributionally robust policy learning in unknown environments, under a possibly misspecified generative model." The key objectives are to study the fundamental learning limits for...
This $170,000 Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) supports fundamental research on experimental design and uncertainty quantification frameworks for complex systems. The research aims to develop new statistical surrogate models and sequential experimental algorithms to enhance the efficiency and effectiveness of information collection and decision-making for complex systems in...
The National Science Foundation Division of Mathematical Sciences awarded $250,000 under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to Stanford University from September 1, 2022 to August 31, 2025. The project grant funding will support research aimed at advancing statistical methods to measure replicability of scientific findings across multiple environments and populations. Specifically, the grantee will develop new approaches leveraging techniques such as...
The National Science Foundation awarded a $721,021 project grant to the University of Michigan under the Engineering federal grant program (CFDA 47.041) to develop new foundations for multi-fidelity prediction, estimation, and learning under uncertainty in dynamical systems from September 1, 2023 through August 31, 2028. The University will conduct research to enable autonomous systems to estimate the effects of prediction uncertainty on planning and control decisions, with a focus on autonomous...
The National Science Foundation Division of Mathematical Sciences awarded a $500,000 Project Grant to Stanford University from September 1, 2021 through August 31, 2025 under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant funds the Flexible Statistical Modeling project, which will advance understanding of major problems confronting the nation through increased knowledge and understanding of the mathematical and physical sciences, consistent with the goals...