PROJECTS

iDigBees is involved in a number of different projects, but they fit into our greater goal of  1) mobilizing new data, 2) analyzing regional to continental scale patterns, and 3) making bee data publicly accessible for research and education. Please click on a project to learn more about it.

This is an NSF funded project that focuses on digitally capturing and sharing the locality and determination data physically located on bee specimen labels housed in museums across the United States. This “dark data” is essential for research in conservation efforts, to agricultural practices, to invasive species control. Learn more:

This project works with bee data that has already been digitized or otherwise mobilized to model the distributions of more than 4,200 bee species from Colombia through Canada. This type of research is critical to understanding shifts in bee distributions over time and space as our planet continues to change. Learn more:

LightningBug is focused on developing new technologies to more quickly and efficiently capture label data on museum specimens through semi-automated label transcription and 3D photogrammetric specimen imaging. With tens of millions of bee records still to be digitized, we need technological assistance if we want to achieve our goals within our lifespans. Learn more:

This project examined data from over 3,000 bee species in the US and analyzed the data to identify persistent gaps in the available data. This is crucial information in determining areas to focus on for both future digitization efforts as well as new data capture efforts in order to better understand species ecologies and distributions as a whole.

This project focuses on developing a data cleaning workflow that can be used for bee datasets. As a proof of concept, it is compiling a globally synthesized and flagged bee occurrence dataset that can be used for ecological modeling or other research purposes.

More to come