Project Grant 2311034

Award Date 7/1/23
Completion Date 6/30/26
Dollars Obligated $275K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Dockweiler, CA 90007, USA
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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 clustering, classification, outlier detection and more for complex data types found in fields like neuroscience, genetics, and environmental studies. The methods will be distance-based and tuning-free by design to accommodate diverse data representations. Inference frameworks with rigorous theory will also be developed for novel statistical tests applicable to complex data. Software implementations and visualization codes will be made freely available. The award additionally supports graduate student training and undergraduate research opportunities.

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