Project Grant 2529184
- Federal Grant Award Summary Mississippi State University received a $797,762 Project Grant from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) awarded September 1, 2026, with a completion date of August 31, 2030. The grant supports collaborative research to develop, test, and implement non-lethal monitoring methods for pollinators in regenerating forests using artificial intelligence (AI)-powered acoustic and camera-based technologies. The primary deliverable...
- Federal Project Grant Award Summary The Division of Agriculture of the University of Arkansas received a $785,872 Project Grant from the National Science Foundation's Division of Emerging Frontiers under the Biological Sciences program (CFDA 47.074) for collaborative research on a human-in-the-loop Artificial Intelligence (AI) system for automated identification of ground-dwelling arthropods. The award, initiated October 1, 2025, with completion targeted for September 30, 2028, will deliver...
- Federal Project Grant Award Summary The National Science Foundation's Division of Environmental Biology awarded a $452,959 Project Grant (CFDA 47.074, Biological Sciences program) to the University of California, Merced on August 15, 2025, with a completion date of July 31, 2028. This research project investigates how individual foraging behaviors of native solitary bees—including flower visitation patterns and time spent foraging—directly impact reproductive success and population...
- Summary The University of Arkansas received a $596,594 Project Grant award dated October 1, 2025, from the National Science Foundation's Division of Emerging Frontiers under the Biological Sciences program (CFDA 47.074) to develop artificial intelligence (AI)-based tools for automated imaging and identification of ground-dwelling arthropods from terrestrial habitat samples. The project, which will conclude on September 30, 2028, delivers a human-in-the-loop AI system designed to process raw...
- Federal Grant Award Summary Rutgers, The State University received a $934,766 Project Grant award from the National Science Foundation (NSF) under the Biological Sciences program (CFDA 47.074), effective September 1, 2025, through August 31, 2030. This research initiative, titled "Evidence-Based Conservation for Native Bees in Northeastern Forests: A Biodiversity Frontier," will generate comprehensive scientific data on plant-bee interactions across North American forest ecosystems....
- This $305,007 federal Project Grant award from the National Science Foundation's Biological Sciences (CFDA 47.074) program will support the development of a research hub for automated bee identification, data sharing, and citizen science using computer vision technology. The key products and services to be delivered under this 3-year award include: Creation of a large, expertly-labeled image dataset of at least 1,000 North American bee species to train an AI-based bee classification model...
- Federal Grant Award Summary The National Science Foundation's Division of Integrative Organismal Systems awarded $500,000 under the Biological Sciences program (CFDA 47.074) to The University of Kentucky Research Foundation for a three-year project (November 1, 2025 – October 31, 2028) investigating how honey bees integrate daylength and temperature cues to maintain behavioral synchronization with their environment. The project will deliver research outputs including behavioral tracking data,...
- Federal Project Grant Award Summary The National Science Foundation (NSF) awarded $173,877 to Stony Brook University under the Biological Sciences program (CFDA 47.074) on December 1, 2025, for a pilot project titled "From Glomeruli to Pollination: Vertical Integration of Neural Encoding through Ecologically-Relevant Behavior." The project, with a completion date of March 31, 2027, delivers computational and algorithmic tools to quantify and represent bumblebee odor perception in...
- Federal Project Grant Award Summary Arizona State University received a $468,704 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) awarded on June 15, 2026, with a completion date of May 31, 2029. The project, titled "New Mathematics for Pollinator Decline: From Colony Dynamics to Sustainable Agroecosystems," develops novel mathematical and artificial intelligence-based predictive...
- This Project Grant awarded by the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) aims to develop a large dataset of expertly labeled bee images, create an AI-based classification model to identify bee species, and establish a research hub website for automated bee identification, data sharing, and citizen science. The total funding amount is $342,866.00, to be provided over the award period from August 15, 2024 to July 31, 2027. The University of Kansas Center for...
The University of Arkansas received a $249,947 Project Grant from the National Science Foundation (NSF) Division of Emerging Frontiers under the Biological Sciences program (CFDA 47.074), awarded September 1, 2026, with a completion date of August 31, 2030. This collaborative research initiative develops non-lethal monitoring technologies to detect and track native bee pollinator species in managed forest environments. The project delivers an artificial intelligence (AI)-powered system combining acoustic and camera-based technologies capable of automatically identifying pollinator species in real-time field settings. The deliverables include software tools designed for ease of use that enable scientists and conservationists to monitor pollinator activity patterns, track behavioral shifts in response to temperature changes, and generate data to inform evidence-based forest management practices that support wild bee conservation. The project addresses a critical gap in current monitoring practices by replacing destructive, labor-intensive lethal trapping methods with non-lethal alternatives. By leveraging cutting-edge AI techniques that learn and adapt over time, the system aims to provide accurate species identification and population monitoring while minimizing negative impacts on native bee populations. This research directly supports conservation of the nearly 4,000 native bee species in the United States, which contribute approximately $3.5 billion annually to agricultural pollination but face documented population declines.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $249.9k | 8/19/25 |