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BEDE - Biological and Environmental Data Education Network: Preparing Instructors to Integrate Data Science into Undergraduate Biology and Environmental Science Curricula (RCN-UBE Introduction)

Author(s): Matthew Aiello-Lammens1, Sarah Supp2, Erika Crispo1, Kelly L ODonnell3, Nate Emery4

1. Pace University 2. Denison University 3. City University of New York 4. University of California Santa Barbara

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Summary:
The Biological and Environmental Data Education Network (BEDE Network) develops and shares teacher-training workshops, curricular designs, teaching modules, and best practices to help integrate computational data science skills into all levels of…

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The Biological and Environmental Data Education Network (BEDE Network) develops and shares teacher-training workshops, curricular designs, teaching modules, and best practices to help integrate computational data science skills into all levels of the biological and environmental sciences curriculum.

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

Version 2.0 - published on 09 May 2023 doi:10.25334/2EV2-2V40 - cite this

Keywords

  1. computational tools
  2. data science
  3. RCN-UBE Introduction

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Versions

Version Released DOI Handle Status
2.0 May 09, 2023 10.25334/2EV2-2V40 published view version »
1.0 May 03, 2023 10.25334/1T2P-NK24 published view version »
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