Collaborative Research: III: Medium: Interpretable Scientific Discovery with Foundation Mo — NSF Award to Cornell University (NY,
Generating nuanced yet interpretable hypotheses from noisy and high-dimensional observations is a core activity across numerous scientific disciplines. For example, across neuroscience, genomics, biomechanics, and ecology, researchers analyze images and videos to study phenomena ranging from the genetic expression of l
| Award title | Collaborative Research: III: Medium: Interpretable Scientific Discovery with Foundation Mo |
|---|---|
| Award ID | 2505098 |
| Awardee | Cornell University |
| City | ITHACA |
| State | NY |
| Amount obligated | $333,333 |
| Principal investigator | Jennifer Sun |
| Program | Info Integration & Informatics |
| Start date | 10/01/2025 |
| Abstract | Generating nuanced yet interpretable hypotheses from noisy and high-dimensional observations is a core activity across numerous scientific disciplines. For example, across neuroscience, genomics, biomechanics, and ecology, researchers analyze images and videos to study phenomena ranging from the genetic expression of lab mice to global species distributions of birds. Useful scientific hypotheses are typically instantiated on symbolically interpretable concepts and attributes (such as stride peri |
| Source | NSF Awards |
$799/mo
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