Project Grant 2230797
Award Date
1/1/22
Completion Date
5/31/23
Dollars Obligated
$262K
Federal Agency
Division of Mathematical Sciences
Awardee
Duke University (TP7EK8DZV6N5)
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Durham, NC 27708, USA
Similar Awards
This $337,985 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development of innovative methods for risk-sensitive statistical learning at Duke University. The research aims to advance decision-making processes in critical fields like medicine, finance, and robotics by incorporating risk assessments to improve outcomes and minimize risks, particularly for a large proportion of the population. Key focus...
This Project Grant from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $186,606 to Duke University to support research developing new algorithms and modeling techniques for optimal adaptive enrichment design in randomized clinical trials. The goal is to address increasing costs that negatively impact public health by reducing willingness to undertake clinical trials and delaying new drug...
This Project Grant award of $160,000.00 from the National Science Foundation (NSF) Division of Mathematical Sciences, under the Mathematical and Physical Sciences (CFDA 47.049) grant program, will support a "Collaborative Research: Partial Priors, Regularization, and Valid & Efficient Probabilistic Structure Learning" project. The research aims to develop new statistical methods and frameworks for reliable uncertainty quantification in high-dimensional structure learning problems...
The National Science Foundation Division of Mathematical Sciences awarded The Trustees of Princeton University a $285,000 Project Grant under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) for work on "Stochastic Optimal Control with High Dimensional Data." This three-year award, which began on June 15, 2021 and runs through May 31, 2024, will support Princeton University's efforts to promote progress in the mathematical and physical sciences through...
This Project Grant award of $175,000.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research at the University of California, Davis (UC Davis) to develop new statistical and computational methods for analyzing high-dimensional, noisy, and dynamically changing datasets. The key focus areas of the project include: (1) analyzing the robustness of manifold and deep learning algorithms for complex data; (2) developing statistical...
This National Science Foundation Project Grant of $133,850 supports research at Clemson University under the Mathematical and Physical Sciences program (CFDA 47.049) from August 15, 2022 through July 31, 2025. The award will fund the development of statistical analysis frameworks to incorporate abundant data features, including medical images, genetic information, and other patient characteristics, into precision medicine decision-making tools. Specifically, the researchers will adapt...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program, with CFDA number 47.049, will fund research to address the challenge of reliable and interpretable reinforcement learning (RL) systems in complex, data-limited environments. The $154,999 award, effective August 1, 2025 through July 31, 2028, aims to develop theoretical foundations and methods for robust inference and decision-making in RL, including tools for contextual bandits...
This $200,000 project grant was awarded by the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program to the University of Delaware. The grant will support the development of new nonparametric learning methods for high-dimensional survival data analysis, with applications in causal inference and sequential decision-making problems. The research aims to advance the state-of-the-art in areas like medical risk factor discovery, personalized treatment...
The National Science Foundation Division of Mathematical Sciences awarded Princeton University a $230,000 Project Grant under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) for the period of July 1, 2021 through June 30, 2024. The grant funds collaborative research on flexible network inference to promote progress in mathematical and physical sciences and strengthen the nation's scientific enterprise. The award supports increasing scientific knowledge and enhancing...
This Project Grant award of $146,738 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports collaborative statistical research on multivariate and functional time series analysis. The research will develop new nonparametric inference procedures that can accommodate a wide range of data dimensionality and require weak assumptions on the data generating processes. The methodology will be disseminated through publications, presentations, and...