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...
This $300,000 National Science Foundation project grant supports the Biodiversity Outreach Network's IDIGBEES Network initiative. Under the Biological Sciences CFDA 47.074 program, the awardee will digitize over 350,000 bee specimen records and 6,600 images from natural history collections. This comprehensive digitization effort aims to map bee species distributions, identify data gaps, document climate impacts on bees, and establish networks to utilize findings for research, education,...
This $949,400 project grant from the US Department of Agriculture National Institute of Food and Agriculture's Agriculture and Food Research Initiative competitive grants program (CFDA 10.310) supports the creation of decision support tools to improve bee health and ecosystem services through 2025. The Pennsylvania State University will synthesize complex data from multiple national databases and expert opinions into spatial-temporal data layers, code, and statistical analysis pipelines. These...
This $241,419 National Science Foundation project grant supports research into the protective symbiosis mechanism of honey bees at the University of Michigan from October 2022 to October 2023. The goal is to characterize how a bacterial symbiont protects honey bee brood from fungal pathogens by investigating its antifungal properties. Researchers will use microbiology, genetics, genomics, chemistry and bee rearing to determine how the trait evolved and identify the antifungal metabolite...
This $300,000 Project Grant award from the U.S. Department of Agriculture's Agriculture and Food Research Initiative (CFDA 10.310) will support the development and testing of the "eBeevet" functional sensor framework designed for bee hives. The framework will utilize machine learning methods to analyze data and propose solutions to address the drastic declines in honeybee populations that have occurred over the past two decades. The project aims to create scalable data management...
This Project Grant award, funded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, aims to develop a bio-acoustic luring system to enable rapid and accurate localization of queen honey bees within managed hives. The $305,000 award, granted on June 1, 2025, will support research to refine the acoustic signal parameters, optimize speaker placement, and evaluate queen bee movement in response to the controlled stimuli. The project,...
This $654,761 National Science Foundation (NSF) Biological Sciences (CFDA 47.074) Project Grant awarded to the Chicago Horticultural Society's Chicago Botanic Garden division will investigate how bee populations respond to rapid environmental changes. The researchers will use in-situ temperature manipulations and cross-population comparisons to measure the direct and indirect effects of climate change, including impacts mediated through changes in food resources and nest parasites, on vital...
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...
This Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) provides $372,442 to Kansas State University to develop an automated bee identification and data sharing platform. The key objectives are: Creating a large, expertly-labeled image dataset of at least 1,000 North American bee species to train computer vision algorithms. Developing an AI-based classification model using convolutional neural networks to identify bee species from images....
This two-year Project Grant from the National Science Foundation's Division of Integrative Organismal Systems provides $138,000 to fund postdoctoral research integrating genes, environment and behavior to understand nutrient foraging in honey bees. The award period is from March 2022 through February 2024, with performance taking place in State College, Pennsylvania. This award supports the Biological Sciences program (CFDA 47.074), which aims to promote progress in biology and strengthen the...