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
518 total view(s), 47 download(s)
Description
The Biological and Environmental Data Education (BEDE) Network is a motivated community of scientists and educators dedicated to integrating data science skills into undergraduate biology and environmental science curricula. We aspire to be an inclusive and welcoming community for people from diverse career stages, roles, backgrounds, experiences, and perspectives.
Ways to learn more:
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Join the BEDE group on QUBES to receive updates and announcements.
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Take a look at our published educational resources.
Ways to get involved:
- Join one of our subcommittees
- Curriculum mapping
- Mission statement / community norms
- Quantifying data science skills across the curriculum
- Best practices for scaling data science instruction
- Subcommittee for organizing QUBESHub resources
- Contribute to the Forum discussions
- Request an invite to the BEDE slack
If you are interested in learning more and participating please join this group or email Dr. Matthew Aiello-Lammens.
RCN-UBE #2120609Notes
This is our initial BEDE RCN-UBE Introduction. Please visit our website for updates.
Cite this work
Researchers should cite this work as follows:
- Aiello-Lammens, M., Supp, S., Crispo, E., ODonnell, K. L., Emery, N. (2023). BEDE - Biological and Environmental Data Education Network: Preparing Instructors to Integrate Data Science into Undergraduate Biology and Environmental Science Curricula (RCN-UBE Introduction). RCN-UBE Community, QUBES Educational Resources. doi:10.25334/1T2P-NK24