NSF Org:	DBI Division of Biological Infrastructure
Recipient:	UNIVERSITY OF WYOMING
Initial Amendment Date:	December 22, 2022
Latest Amendment Date:	December 22, 2022
Award Number:	2216932
Award Instrument:	Standard Grant
Program Manager:	Reed Beaman rsbeaman@nsf.gov  (703)292-7163 DBI  Division of Biological Infrastructure BIO  Directorate for Biological Sciences
Start Date:	December 15, 2022
End Date:	November 30, 2026 (Estimated)
Total Intended Award Amount:	$25,009.00
Total Awarded Amount to Date:	$25,009.00
Funds Obligated to Date:	FY 2023 = $25,009.00
History of Investigator:	Michael Dillon (Principal Investigator) Michael.Dillon@uwyo.edu
Recipient Sponsored Research Office:	University of Wyoming 1000 E UNIVERSITY AVE LARAMIE WY  US  82071-2000 (307)766-5320
Sponsor Congressional District:	00
Primary Place of Performance:	University of Wyoming 1000 E. University Avenue Laramie WY  US  82071-2000
Primary Place of Performance Congressional District:	00
Unique Entity Identifier (UEI):	FDR5YF2K32X5
Parent UEI:	FDR5YF2K32X5
NSF Program(s):	Capacity: Bio Collections
Primary Program Source:	01002324DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):	1197, 6895
Program Element Code(s):	167Y00
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.074

ABSTRACT

Bees are the most important pollinators in both managed and natural landscapes, and concerns are quickly growing about declines in bee diversity and numbers. Only a fraction of the ca. 4,000 known bee species in the United States have adequate data for assessing their presence or absence in an ecosystem. The iDigBees Thematic Collections Network addresses this problem by transcribing specimen label information for thousands of bee specimens in US insect collections into a shared global database. As a result, bees will become the first major insect group to have specimen data sufficiently digitized to promote research projects and support conservation efforts. Specifically, the iDigBees project will (1) map distributions for thousands of bee species and quantify patterns of bee biodiversity; (2) identify data gaps to inform future inventory and monitoring efforts; (3) reveal changes in species distributions over time through historic records; (4) document the impacts of a changing climate on bees; (5) identify critical taxa and geographic areas for conservation; and (6) establish a network of researchers, conservationists, and land managers to rapidly utilize data for research, education, public policy, and land management. The education program will coordinate an array of existing programs and create a new technology-mediated learning tool, SMARTBees, to serve high school and college students. Obtaining specimen-level data on US bee species and communities, and integrating findings into education programs, are essential steps toward addressing the pollinator crisis.

iDigBees represents an in-depth insect biodiversity digitization initiative that will mobilize at least 350,000 bee specimen records, and 6,600 high-resolution image suites. Obtaining specimen-level data on US bee species and communities is an essential step toward addressing the pollinator crisis. Via the novel networks proposed here, species distribution patterns and ?extended specimen? data will emerge, leading to testable hypotheses as to underlying mechanisms and predictions on how bees will respond to future global changes. Integrated data will also shed light on how particular life-history traits life-history traits respond to environmental change. iDigBees will help to highlight candidate pollinator restoration options for agricultural, urban, and other managed landscapes. This project, in partnership with researchers and government agencies, will provide open-source datasets for policy, research, and education. The iDigBees model will be promoted throughout North America and other continents to foster "deep global digitization?. The iDigBees network integrates educational and public engagement initiatives to work with the Biodiversity Literacy in Undergraduate Education (BLUE) RCN to build and implement novel biodiversity data-centric Open Education Resources that promote student-oriented learning. SMARTBees will serve as a digital platform featuring learning modules designed to serve culturally diverse high school students who are transitioning into community college as well as first year undergraduates. Building on the extended specimen model exemplary digital bee specimens will teach students host plant relationships, key evolutionary concepts and the important role pollinators have in sustaining the biodiversity of our planet.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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