This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award, with CFDA number 47.070, provides $477,128 to the University of Arizona to research the foundations of interactive machine learning with rich feedback. The overarching goal is to design principled and practical interactive machine learning algorithms that address challenges in data efficiency, safety, and reusability. The project consists of three research thrusts: 1) interactive learning for supervised learning, 2) interactive learning for sequential decision-making, and 3) bridging interactive learning and offline learning to improve data reusability. The award will also support an education plan, including an intramural lecture series, a middle school outreach program, and undergraduate research projects. This award runs from August 1, 2025 to July 31, 2030 and does not involve any planned sub-awards.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $477.1k | 7/9/25 |