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Using Data Science Skills and Digitized Natural History Collections Data to Investigate Ecological and Evolutionary Principles in Introductory Biology Courses

By Debra Linton1, Molly Phillips2, Libby Ellwood3, Lisa White, Anna Monfils1

1. Central Michigan University 2. iDigBio, Florida Museum of Natural History, University of Florida 3. iDigBio

Session presentation Biodiversity Literacy in Undergraduate Education project at the 2019 BioQUEST & QUBES Summer Workshop

Listed in Teaching Materials | resource by group Evolution of Data in the Classroom: From Data to Data Science (SW 2019)

Version 1.0 - published on 22 Aug 2019 doi:10.25334/44MG-DP37 - cite this

Licensed under CC Attribution-NonCommercial-ShareAlike 4.0 International according to these terms

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In this workshop you'll explore activities, developed by the Biodiversity Literacy in Undergraduate Education (BLUE) RCN-UBE, in which students investigate topics in ecology, evolution, and organismal biology using data from digitized natural history collections. BLUE's goals are to bring together communities of biodiversity, data science, and education specialists to identify core undergraduate biodiversity data competencies and standards and develop effective strategies for sustained integration of biodiversity and data literacy education into the undergraduate biology curriculum. BLUE participants have brought some of these strategies into practice by developing example curriculum materials.
 In alignment with the core content and competencies identified in Vision and Change in Undergraduate Biology Education, the BLUE modules can be used to integrate the scientific process, present biological concepts in a real-life context, and engage students as active participants in science in early foundational courses. Module topics include: coevolution of plants and pollinators, factors influencing animal size, and correlations between species' distributions and a range of environmental variables.
 We'll present an overview of the modules that have been developed, then allow participants to select a module to work through individually or in small groups. Participants will also learn about ongoing BLUE activities and opportunities to get involved. More information about BLUE is available on our website: and materials are housed on the QUBEShub.


Cite this work


Evolution of Data in the Classroom: From Data to Data Science (SW 2019)

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