The National Science Foundation awarded a $250,000 project grant to Georgia Tech Research Corporation under the Mathematical and Physical Sciences program (CFDA 47.049) for the period of August 1, 2023 through July 31, 2026. The grant funds the development of experimental design-based weighted sampling techniques that introduce weights for each sample to improve upon existing sampling methods for quantifying population characteristics. The Principal Investigator will develop software packages to distribute publicly for applying the proposed techniques more broadly across fields like uncertainty quantification, Bayesian statistics, simulation, stochastic optimization, machine learning, and numerical analysis. The sampling methods will also be implemented and tested in engineering applications to provide immediate societal impact. The project provides research training for graduate students. Overall, the grant supports advancing theoretically sound and computationally efficient weighted sampling methods through work in uncertainty quantification, Bayesian computation, and data compression.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $250.0k | 6/13/23 |