Project Grant 2524623
- This National Science Foundation (NSF) Biological Sciences Program (CFDA 47.074) $785,872 Project Grant will develop artificial intelligence-based tools to automate the imaging and identification of arthropods (insects and other invertebrates) collected from terrestrial habitats. The project aims to minimize the time and expertise required to process large sample collections, which currently contain hundreds of millions of unidentified specimens representing vast undiscovered biodiversity. By...
- The National Science Foundation (NSF) awarded a $249,947 Project Grant under its Biological Sciences (CFDA 47.074) federal grant program to the University of Arkansas in Fayetteville, AR. The grant funds a collaborative research project to develop and implement non-lethal methods for monitoring wild bee pollinators in managed forests using acoustic and camera-based artificial intelligence (AI) technologies. The goal is to create user-friendly software that can track pollinator activity...
- The National Science Foundation (NSF) awarded a $230,552 Project Grant under the Integrative Activities program (CFDA 47.083) to the University of Maine System. The goal of this 2-year grant, with a performance period from January 1, 2025 to December 31, 2026, is to leverage artificial intelligence (AI) to extract information on beetles from imagery generated by the NSF-funded National Ecological Observatory Network (NEON). This effort aims to fuel scientific discovery related to biodiversity...
- This $993,899 federal Project Grant award from the National Science Foundation's Biological Sciences program (CFDA 47.074) supports research into the biomechanical and fluid-mechanical mechanisms that insects use to move their antennae. The project, led by Clemson University, investigates the structure, function, and biomechanics of insect antennae to provide insights into how they enable insects to navigate and sense their environment. The research aims to develop strategies for designing...
- The National Science Foundation (NSF) awarded a $1,040,107 project grant under its Biological Sciences (CFDA 47.074) Federal Grant Program to the University of Idaho. The grant will fund the development of an artificial intelligence-powered instrument that can identify small mammal species, discriminate between individuals, and measure their body weight and morphological traits in real-time without the need for animal capture and handling. This innovative technology will significantly reduce the...
- This $198,141 project grant awarded by the National Science Foundation's Biological Sciences program (CFDA 47.074) seeks to enhance predictive understanding of global species distributions through the development of advanced generative artificial intelligence (AI) models. The project aims to create a versatile foundation model that can be used by scientists, conservationists, and educators to better understand and protect the natural world. By training this model on a vast array of environmental...
- This $207,291 four-year Project Grant award from the National Science Foundation's Biological Sciences program (CFDA 47.074) supports research to develop Artificial Intelligence (AI) tools to analyze camera trap imagery of animals with seasonal camouflage adaptations. The research aims to understand how these species cope with environmental variability, including changes in snow cover, and remain camouflaged against their backgrounds. The project will create publicly available AI tools to assess...
- The National Science Foundation (NSF) awarded a $100,000 Project Grant under the Biological Sciences (CFDA 47.074) program to The Trustees of Columbia University in the City of New York on June 15, 2025. The grant, titled "Collaborative Research: ACED - Planet-Scale AI for Accelerating Environmental Science - Invasive Species and Beyond," aims to develop a novel AI framework that combines multiple data sources, including satellite imagery and other visual data, to automatically...
- The National Science Foundation (NSF) awarded a $981,168 Cooperative Agreement under its Technology, Innovation, and Partnerships (CFDA 47.084) program to Solarid Ar LLC, a minority-owned, veteran-owned, Asian-Pacific American-owned limited liability company. This 2-year project aims to develop an artificial intelligence (AI)-driven insect trapping and identification system that can detect, identify, and quantify insects entering insect control devices in real-time. The primary objective is to...
- This $290,025 federal Project Grant award from the National Science Foundation's Biological Sciences program (CFDA 47.074) supports research to develop new methods for detecting eukaryotic symbionts associated with insects. The primary awardee, the University of Iowa, will use the funding to: 1) design PCR blocking primers to inhibit amplification of insect DNA while allowing detection of other eukaryotic organisms, and 2) conduct large-scale surveys of insect-symbiont diversity across two...
This $596,594 Project Grant awarded by the National Science Foundation's Biological Sciences (CFDA 47.074) Federal Grant Program will develop artificial intelligence-based tools to automate the imaging and identification of ground-dwelling arthropods, such as insects and other arthropods, in research samples. The project aims to greatly minimize the time and expertise required to process large sample collections and unlock vast amounts of undiscovered biodiversity data that is currently backlogged in research collections. The advanced AI algorithms developed through this collaborative research effort can also be extended to other applications in healthcare, robotics, manufacturing, and new material discovery. The grant was awarded to the University of Arkansas, Fayetteville, and the project will be completed by September 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $596.6k | 8/14/25 |