Project Grant 2541747
- Federal Grant Award Summary The University of California, Los Angeles received a $1,263,600 Research Training Group (RTG) award from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective September 1, 2026 through August 31, 2031. This award establishes an integrated research training ecosystem within UCLA's Department of Statistics & Data Science designed to develop the next generation of...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded $214,876 to the University of California, Los Angeles (UCLA) under the Mathematical and Physical Sciences program (CFDA 47.049) on October 1, 2026, with completion scheduled for September 30, 2029. This project delivers theoretical and mathematical research establishing a rigorous foundation for multi-operator learning in neural networks applied to partial differential equations...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded $300,000 to the University of California, Los Angeles (UCLA) under the Mathematical and Physical Sciences program (CFDA 47.049) on January 15, 2026, with a completion date of December 31, 2028. This Mathematical Foundations of Artificial Intelligence (MFAI) project delivers foundational research on the critical relationship between data and large language models (LLMs), addressing how data...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded $330,000 to the University of California, Los Angeles under the Mathematical and Physical Sciences program (CFDA 47.049) effective January 15, 2026, with completion targeted for December 31, 2028. This Project Grant funds the development of randomized algorithms for operator learning that enable efficient approximation of solution operators for parametric partial differential equations...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a $128,920 Project Grant to UCLA (University of California, Los Angeles) effective January 1, 2026 through December 31, 2028, under the Computer and Information Science and Engineering program (CFDA 47.070). This collaborative research project delivers computational methods and AI tools that synergize artificial intelligence with mathematical sciences to advance both mathematical...
- The University of California, Los Angeles was awarded a $120,000 project grant from the National Science Foundation Division of Mathematical Sciences. The grant supports the development of classification theory and methods for objective asymmetry, sample size limitation, labeling ambiguity, and feature importance from July 1, 2021 to June 30, 2024. This project grant funding advances the goals of the Mathematical and Physical Sciences program (CFDA 47.049) to promote progress in the mathematical...
- Federal Project Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded $139,995 to the University of California, Los Angeles on June 1, 2026 (with completion scheduled for May 31, 2029) under the Mathematical and Physical Sciences program (CFDA 47.049). This project grant funds the development of non-parametric estimation methods and algorithms for analyzing multimodal datasets that integrate heterogeneous sources such as medical imaging, clinical...
- This four-year $800,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) will support research at the University of California, Los Angeles (UCLA) to develop theoretical tools for understanding deep neural networks (DNNs). The research aims to identify common themes in how artificial and biological systems like the human brain learn. It will investigate the hypothesis that DNNs succeed when learning tasks exhibit...
- The National Science Foundation (NSF) awarded a $225,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to The Leland Stanford Junior University. The 3-year grant, effective July 1, 2024, aims to gain a deeper theoretical understanding of the statistical properties of neural networks, which have revolutionized science and engineering. Key research directions include studying the distinguishing features of deep neural networks compared to classical statistical...
- Federal Project Grant Award Summary The University of California, Los Angeles received a $594,592 Project Grant award from the National Science Foundation's Office of Multidisciplinary Activities under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), effective July 1, 2026 through June 30, 2029. The research project delivers comparative analysis of decision-making and inference under uncertainty, examining how humans and animal models rely on mental inferences when processing...
The University of California, Los Angeles received a $270,000 CAREER project grant from the National Science Foundation's Division of Mathematical Sciences (Federal Grant Program 47.049: Mathematical and Physical Sciences) effective July 1, 2026, through June 30, 2031. This award funds theoretical and methodological research in nonparametric statistical estimation using neural networks, with the objective of establishing rigorous statistical foundations for machine learning practices widely deployed across health care, scientific discovery, finance, engineering, and language technology applications. The research will characterize when pretraining improves statistical efficiency in multi-population and high-dimensional settings, introduce novel regression and inference methods for complex data spaces including non-Euclidean domains, and develop principled approaches for uncertainty quantification and causal inference with neural networks. Beyond its core research objectives, the project includes complementary educational and workforce development activities designed to strengthen the nation's artificial intelligence (AI) and data science capabilities. Deliverables encompass training and mentorship of graduate and undergraduate students in modern statistical learning theory, outreach programming targeting high school and college students to broaden participation in data science, and methodological contributions that advance the responsible deployment of AI in applications affecting health, prosperity, and public welfare. The award supports fundamental research that enhances the trustworthiness and efficiency of neural network-based decision-making systems across sectors critical to national interests.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $270.0k | 6/25/26 |