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Critical inquiry for inclusive teaching of statistics
28 Jun 2021 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Professional development workshop slides to help curate conversations in teaching statistics with a critical inquiry lens.
2019 EDSIN Conference Proceedings
02 Apr 2021 | Teaching Materials | Contributor(s):
By Alycia Crall1, Carrie Diaz Eaton2, Wendy Gram, Shobhana Gupta, AJ Lauer3, Lea Shanley, Sarah A Stone4, Bonnie Swan5, Elizabeth Sudduth6, Kaitlin Stack Whitney7, Kamuela Yong8
1. The Carpentries 2. Unity College 3. National Center for Atmospheric Research 4. eScience Institute - University of Washington 5. University of Central Florida 6. Georgia Gwinnett College 7. Rochester Institute of Technology 8. 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...
GEA Introductory lesson on RNA-Seq
25 Jul 2020 | Teaching Materials | Contributor(s):
By Jason Williams1, Judy Brusslan2, Ray Enke3, Matthew Escobar4, Vince Buonaccorsi5
1. Cold Spring Harbor Laboratory 2. California State University Long Beach 3. James Madison University 4. California State University San Marcos 5. Juniata College
This RNA-Seq lesson uses the CyVerse VICE Platform and Jupyter notebooks to examine the expression of the leptin gene in samples from a mouse experimental design evaluating diet (high-fat vs....
The Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE): Barriers to Integration
23 Jul 2020 | Teaching Materials | Contributor(s):
By Anne Rosenwald1, Elizabeth Dinsdale2, William Morgan3, Mark A. Pauley4, William Tapprich5, Eric Triplett6, Jason Williams7
1. Georgetown University 2. San Diego State University 3. The College of Wooster 4. University of Nebraska at Omaha 5. University of Nebraska-Omaha 6. University of Florida 7. Cold Spring Harbor Laboratory
The Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE) seeks to promote the use of bioinformatics and data science as a way to teach biology.
Diversity, Equity, and Inclusion in Ecology: Introducing the Environmental Data Science Inclusion Network (EDSIN)
21 May 2020 | Teaching Materials | Contributor(s):
By Alycia Crall1, Carrie Diaz Eaton2, Megan A. Jones3, Claire Lunch3, Katherine Jones4
1. The Carpentries 2. Unity College 3. National Ecological Observatory Network 4. 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...
19 Mar 2020 | Teaching Materials | Contributor(s):
By Rebecca Renirie
Central Michigan University
Data ethics and the use of digital data
Population Demography in Swirl
12 Feb 2020 | Teaching Materials | Contributor(s):
By Emily Weigel
Georgia Institute of Technology
The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.
06 Nov 2019 | Teaching Materials | Contributor(s):
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...
Get Started With GIS in Open Source Python Workshop
15 Oct 2019 | Teaching Materials | Contributor(s):
By Leah Wasser1, Jenny Palomino1, Joe McGlinchy1
Earth Lab - University of Colorado, Boulder
There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in...
Introduction to Version Control and Git Workshop
By Leah Wasser, Max Joseph
Learn how to use version control with Git to work collaboratively and back up your work.
Writing Clean Code in R Workshop
By Max Joseph1, Leah Wasser
When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.
Introduction to Earth Data Science Textbook
By Jenny Palomino, Leah Wasser
Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...
Earth Analytics in R Course
By Leah Wasser
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...
Earth Analytics Bootcamp Course
By Jenny Palomino1, Leah Wasser
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...
26 Sep 2019 | Teaching Materials | Contributor(s):
Using Data Science Skills and Digitized Natural History Collections Data to Investigate Ecological and Evolutionary Principles in Introductory Biology Courses
22 Aug 2019 | Teaching Materials | Contributor(s):
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
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...
Biobyte 2 - Exploratory data analysis
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...
Using Synthetic Biology to Teach Data Science
30 Jul 2019 | Teaching Materials | Contributor(s):
By Margaret S Saha1, Beteel Abu-Ageel1, Sanjana Challa1, Xiangyi Fang1, Chai Hibbert1, Anna Isler1, Elias Nafziger1, Adam Oliver1, Hanqiu Peng1, Julia Urban1, Vivian Zhu1
College of William and Mary
Poster and supplemental materials on using synthetic biology to introduce students to meaningful data mining, analysis, and application to engineering novel biological constructs.