This $800,001 Project Grant award from the National Science Foundation's Biological Sciences (CFDA 47.074) program will fund the development of an intelligent web-accessible Palynology Image Analysis Platform (PALYIM) to automate the analysis of pollen and spore samples. The University of Illinois is the primary awardee for this 2-year project, with plans for sub-awards. PALYIM will serve as a centralized repository of vetted machine learning workflows for automated pollen identification and classification, enabling efficient, reproducible, and transparent palynological research across diverse fields such as forensics, archaeology, paleontology, and hydrocarbon exploration. The platform will transform pollen research by incentivizing data sharing and large-scale analyses, while also providing an accessible gateway for researchers without programming or machine learning expertise. This award reflects NSF's mission to advance scientific understanding and support innovative, interdisciplinary research and training opportunities.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $800.0k | 7/14/25 |