This $200,000 Project Grant award from the National Science Foundation's (NSF) Biological Sciences (CFDA 47.074) program supports the development of a Multi-Modality Microbiome Foundation Model (M3FM) - an artificial intelligence model that integrates diverse soil microbiome data sets to provide a more comprehensive framework for understanding soil microbiomes. The project aims to address the challenges of soil metagenomic data sparsity by leveraging large public data sets through self-supervised learning. The research will apply the M3FM model to two key case studies: 1) linking soil microbial profiles to soil organic carbon content, and 2) mapping microbial shifts in response to climate change. This research is expected to deepen the understanding of how soil microbes influence carbon storage, nutrient cycling, and environmental change, with potential applications in sustainable agriculture, ecosystem management, and environmental conservation. The award is co-funded by NSF's Directorates for Computer and Information Science and Engineering, and Biological Sciences, and the project will be conducted by Oregon State University from June 2025 to May 2027.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $200.0k | 6/3/25 |