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2019 EDSIN Conference Proceedings
02 Apr 2021 | Teaching Materials | Contributor(s):
By Alycia Crall, Carrie Diaz Eaton1, Wendy Gram, Shobhana Gupta, AJ Lauer2, Lea Shanley, Sarah A Stone3, Bonnie Swan4, Elizabeth Sudduth5, Kaitlin Stack Whitney6, Kamuela Yong7
1. Unity College 2. National Center for Atmospheric Research 3. eScience Institute - University of Washington 4. University of Central Florida 5. Georgia Gwinnett College 6. Rochester Institute of Technology 7. University of Hawaii - West Oahu
Bringing Conversations on Diversity and Inclusion in Data Science to the Ecological and Environmental Sciences, was a 3-day conference hosted at the UCAR's Center Green in Boulder, Colorado, April...
https://qubeshub.org/publications/2297/?v=1
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50 Years of Data Science
30 Oct 2018 | Teaching Materials | Contributor(s):
By David Donoho
Stanford University
This paper reviews some ingredients of the current “Data Science moment”, including recentcommentary about data science in the popular media, and about how/whether Data Science isreally different...
https://qubeshub.org/publications/912/?v=1
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A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!
07 Jun 2019 | Teaching Materials | Contributor(s):
By Rachael St. Jacques1, Max Maza1, Sabrina Robertson2, Guoqing Lu3, Andrew Lonsdale4, Ray A Enke5
1. Department of Biology, James Madison University 2. Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill 3. Department of Biology and School of Interdisciplinary Informatics, University of Nebraska Omaha 4. ARC Centre of Excellence in Plant Cell Walls, Melbourne University 5. James Madison University
This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.
https://qubeshub.org/publications/1092/?v=2
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A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!
28 Feb 2019 | Teaching Materials | Contributor(s):
By Rachael St. Jacques1, Max Maza1, Sabrina Robertson2, Guoqing Lu3, Andrew Lonsdale4, Ray A Enke5
1. Department of Biology, James Madison University 2. Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill 3. Department of Biology and School of Interdisciplinary Informatics, University of Nebraska Omaha 4. ARC Centre of Excellence in Plant Cell Walls, Melbourne University 5. James Madison University
This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.
https://qubeshub.org/publications/1092/?v=1
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An evolution curriculum designed around understanding the rise and spread of drug-resistant pathogens
07 Jun 2018 | Teaching Materials | Contributor(s):
By Aditi Pai1, Amanda Gibson2
1. Spelman College 2. Emory University
Poster on teaching concepts in evolution and data science skills in an upper level Biology elective at Spelman College presented at the 2018 QUBES/BioQUEST Summer Workshop
https://qubeshub.org/publications/609/?v=1
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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)
09 May 2023 | Teaching Materials | Contributor(s):
By 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
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...
https://qubeshub.org/publications/4297/?v=2
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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)
03 May 2023 | Teaching Materials | Contributor(s):
By 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
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...
https://qubeshub.org/publications/4297/?v=1
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Biobyte 2 - Exploratory data analysis
14 Aug 2019 | Teaching Materials | Contributor(s):
By Sam S Donovan
University of Pittsburgh
This short activity can be used to introduce the concept of exploratory data analysis and get participants to think about how this data science strategy is complementary to having students...
https://qubeshub.org/publications/1388/?v=1
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Biobyte 3 - Lab reports as reproducible research
14 Aug 2019 | Teaching Materials | Contributor(s):
By Sam S Donovan1, Drew LaMar2
1. University of Pittsburgh 2. College of William and Mary
This short activity introduces a discussion of reproducibility in scientific research and ways that we might address these ideas with undergraduates. There is an opportunity to use a prototype...
https://qubeshub.org/publications/1389/?v=1
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Biodiversity Literacy in Undergraduate Education (BLUE): Building standards and resources for using collections data in the classroom
26 Jun 2019 | Teaching Materials | Contributor(s):
By Molly Phillips1, Debra Linton2, Libby Ellwood3, Natalie Douglas2, Lisa White4, Anna Monfils2
1. iDigBio, Florida Museum of Natural History, University of Florida 2. Central Michigan University 3. La Brea Tar Pits and Museum, Natural History Museum of Los Angeles County 4. University of California Museum of Paleontology, UC Berkeley
Abstract for poster on using collections data presented at the 2019 BioQUEST & QUBES Summer Workshop
https://qubeshub.org/publications/1324/?v=1
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Calling Bull in an Age of Big Data with R
29 May 2019 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Bates College and RIOS Institute
Use the calling bull course to introduce students to data, ethics, visualization, and R.
https://qubeshub.org/publications/1150/?v=2
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Calling Bull in an Age of Big Data with R
26 Apr 2019 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Bates College and RIOS Institute
Use the calling bull course to introduce students to data, ethics, visualization, and R.
https://qubeshub.org/publications/1150/?v=1
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Calling Bull: Data Reasoning in a Digital World
26 Apr 2019 | Teaching Materials | Contributor(s):
By Carl Bergstrom1, Jevin West1
University of Washington
"So, the aim of this course is to help students navigate the bullshit-rich modern environment by identifying bull seeing through it, and combating it with effective analysis and argument."
https://qubeshub.org/publications/1149/?v=1
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Critical inquiry for inclusive teaching of statistics
28 Jun 2021 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Bates College
Professional development workshop slides to help curate conversations in teaching statistics with a critical inquiry lens.
https://qubeshub.org/publications/2458/?v=1
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Data Ethics
19 Mar 2020 | Teaching Materials | Contributor(s):
By Rebecca Renirie
Central Michigan University
Data ethics and the use of digital data
https://qubeshub.org/publications/1765/?v=1
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DataCamp
05 Nov 2018 | Teaching Materials
DataCamp: The Easiest Way to Learn Data Science Online
https://qubeshub.org/publications/913/?v=1
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Diversity, Equity, and Inclusion in Ecology: Introducing the Environmental Data Science Inclusion Network (EDSIN)
21 May 2020 | Teaching Materials | Contributor(s):
By Alycia Crall, Carrie Diaz Eaton1, Megan A. Jones2, Claire Lunch2, Katherine Jones3
1. Unity College 2. National Ecological Observatory Network 3. NEON / Battelle
The Environmental Data Science Inclusion Network (EDSIN) was launched in the spring of 2019 following an NSF INCLUDES conference. This poster, summarizing the event, was presented at the 2019...
https://qubeshub.org/publications/1857/?v=1
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Earth Analytics Bootcamp Course
15 Oct 2019 | Teaching Materials | Contributor(s):
By Jenny Palomino1, Leah Wasser
Earth Lab - University of Colorado, Boulder
The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...
https://qubeshub.org/publications/1438/?v=1
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Earth Analytics in Python Course
01 Nov 2019 | Teaching Materials | Contributor(s):
By Leah Wasser1, Jenny Palomino1, Chris Holdgraf2
1. Earth Lab - University of Colorado, Boulder 2. University of California, Berkeley
Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
https://qubeshub.org/publications/1437/?v=1
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Earth Analytics in R Course
15 Oct 2019 | Teaching Materials | Contributor(s):
By Leah Wasser
Earth Lab - University of Colorado, Boulder
Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
https://qubeshub.org/publications/1439/?v=1