sBOMBUS

Leveraging Artificial Intelligence for Global Bumble Bee Monitoring and Conservation

First meeting: 03.-07.06.2024

PIs:
Brian Spiesman
Tiffany Knight
Christina Grozinger

iDiv member:
Tiffany Knight

Project summary:
Bumble bees are in decline across North America and Europe. But in regions such as Asia, where the diversity of these important pollinators is greatest, existing data has not been assembled for analysis. We will assemble a global bumble bee dataset to analyze spatiotemporal changes in bumble bee diversity and drivers of change. We will develop a protocol for a global bumble bee monitoring program that takes advantage of emerging technology in artificial intelligence for sampling and identifying bumble bees.

In person participants: Tiffany Knight (Helmholtz Centre for Environmental Research (UFZ)), Victoria Campopiano Robinson (Universidad Nacional del Comahue), Christina Grozinger (Penn State University), Patricia Nunes Silva (UNISINOS (Universidade do Vale do Rio dos Sinos)), Jun Yokoyama (Yamagata University), Danielle Holthaus (Kansas State University), Paul Williams (Natural History Museum London)

Remote participants: Jonathan Koch (United States Department of Agriculture), Carolina Laura Morales (INIBIOMA, CONICET-Universidad Nacional del Comahue)

Second Meeting: 16.06- 20.06.2025

Participants: Andre Acosta (University of São Paulo), Victoria Campopiano Robinson (Universidad Nacional del Comahue), James Crall (University of Wisconsin-Madison), Christina Grozinger (Penn State University), Vera Lucia Imperatriz-Fonseca (Universidade de São Paulo), Tiffany Knight (National Tropical Botanical Garden, Kauai), Patricia Nunes Silva (Universidade do Vale do Rio dos Sinos), Madeleine Ostwald (University of California, Santa Barbara), Brian Spiesman (Kansas State University), Jun Yokoyama (Yamagata University)