Project Grant 20216702134146
- 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 $742,173 Project Grant award from the USDA National Institute of Food and Agriculture (CFDA 10.310, Agriculture and Food Research Initiative) to Colorado State University will support a 4-year research initiative to evaluate interactions between wild bee populations and managed honeybees in peri-urban landscapes of the American West. The research aims to (1) characterize the extent and strength of resource overlap and competition between wild bees and honeybees, (2) determine if honeybees...
- 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 $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 federal Project Grant award of $649,999 from the United States Department of Agriculture's (USDA) Agriculture and Food Research Initiative (AFRI) program will support research to develop methods for determining the value of pollination services by wild and managed pollinators, as well as efficient levels and locations of wild pollinator habitat preservation and managed pollinator stocking rates. The project, which will be carried out by the University of Maryland, College Park, the...
- 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 Project Grant award from the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) supports research, education, and outreach activities focused on understanding and improving the health and swarming behavior of honeybee colonies. The $325,000 award to North Dakota State University (NDSU) will fund the development of novel diagnostic methodologies that integrate vibroacoustic and electric field measurements to monitor the health of bee colonies, aiming to reduce...
- This Project Grant award for $249,947.00 from the National Science Foundation's Biological Sciences (CFDA 47.074) program supports the development, testing, and implementation of non-lethal methods to monitor pollinator populations in managed forests using acoustic and camera-based artificial intelligence (AI) technology. The primary goal is to create easy-to-use software that can track pollinator activity patterns, providing valuable insights to inform evidence-based forest management practices...
- 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 five-year, $1,599,748 National Science Foundation project grant under the Social, Behavioral, and Economic Sciences program aims to address dynamic landscape inequalities in human well-being and bee health by establishing approximately 40 front yard pollinator gardens across lower-income neighborhoods in Columbus, Ohio. The Ohio State University will coordinate with community groups to design the gardens using "Cues to Care" theory, install the gardens, and evaluate their impact...
THE POLLINATION SERVICES PROVIDED BY BEES ARE NECESSARY TO SUSTAIN RESILIENT, HEALTHY, AND PRODUCTIVE AGRICULTURAL, URBAN, AND NATURAL ECOSYSTEMS. BEES ALSO SERVE AS AN ACCESSIBLE AND CHARISMATIC POINT OF ENTRY FOR INDIVIDUALS FROM DIVERSE COMMUNITIES AND PERSPECTIVES TO UNDERSTAND THE IMPORTANCE OF BIODIVERSITY AND NATURAL RESOURCES IN SUPPORTING AGRICULTURAL SYSTEMS. WITH WIDESPREAD REPORTS OF POPULATION DECLINES IN BOTH WILD AND MANAGED BEE SPECIES, THERE IS CONSIDERABLE INTEREST IN DEVELOPING EFFECTIVE STRATEGIES TO MANAGE LANDSCAPES TO SUPPORT BEES AND THEIR ECOSYSTEM SERVICES. HOWEVER, IT IS UNIQUELY CHALLENGING TO PREDICT HOW MANAGEMENT PRACTICES AND LAND USE PATTERNS MIGHT INFLUENCE BEE POPULATIONS, SINCE BEES LIVE IN CENTRALIZED NESTS AND ARE IMPACTED BY RESOURCES AND RISKS AT A VERY FINE SCALE, BUT ALSO FORAGE VERY BROADLY ACROSS A TEMPORALLY AND SPATIALLY DYNAMIC LANDSCAPE. THROUGH THIS COORDINATED INNOVATE NETWORK, WE WILL SYNTHESIZE AND INTEGRATE COMPLEX DATA FROM MULTIPLE NATIONAL DATABASES AND EXPERT OPINIONS, AND MAKE THE RESULTING SPATIOTEMPORAL DATA LAYERS, CODE, AND STATISTICAL ANALYSES PIPELINES BROADLY AVAILABLE TO THE PUBLIC, STAKEHOLDERS, AND SCIENTIFIC COMMUNITY. WE WILL PARTNER CLOSELY WITH STAKEHOLDERS TO HELP US DEFINE APPROACHES FOR IMPROVING OUR QUANTIFICATION OF THE RESOURCES AVAILABLE TO BEES IN A LANDSCAPE, AND IDENTIFY STRATEGIES FOR VISUALIZING AND ORGANIZING THESE COMPLEX DATA SETS SO THAT THE RESULTING PLATFORM IS MOST USEFUL FOR DATA EXPLORATION, DECISION SUPPORT, AND HYPOTHESIS-BUILDING. IN ADDITION TO THESE CYBERINFORMATIC RESOURCES, WE WILL EXAMINE HOW DIFFERENT STAKEHOLDER GROUPS (BEEKEEPERS, GROWERS, CONSERVATIONISTS, AND POLICYMAKERS) EVALUATE AND MANAGE LANDSCAPE QUALITY FOR BEES AND POLLINATION SERVICES, WHICH CAN HELP INFORM FUTURE COMMUNICATION AND EDUCATION SYSTEMS, AS WELL AS REGIONAL AND NATIONAL DECISION-MAKING PROCESSES. THUS, THIS PROJECT IS TRULY TRANSDISCIPLINARY, AS IT BRINGS TOGETHER DIVERSE SCIENTISTS AND STAKEHOLDERS IN A SHARED PROCESS THAT WILL ANSWER FUNDAMENTAL QUESTIONS IN HOW ENVIRONMENTAL CONDITIONS INFLUENCE BEE HEALTH; GENERATE HIGHLY INTEGRATIVE DATA SETS, PIPELINES, AND RESOURCES; AND EMPOWER DIVERSE COMMUNITIES TO JOIN TOGETHER TO IMPROVE BEE HEALTH AND THEREFORE AGRICULTURAL OUTCOMES.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | ($21k) | 8/1/25 | ||
| Not listed | $949.4k | 1/21/21 |
GrantNumber | Description | Subgrantee | Prime Award | Dollars Obligated | Updated At |
|---|---|---|---|---|---|
S001634USDAS | University Of Pittsburgh - Of The Commonwealth System Of Higher Education | Project Grant 20216702134146 | $175.0k | 6/1/21 |