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  1. Instructor Guide : Integrating Leadership Skills, Data Science, Artificial Intelligence, Simulation and Google Tools to learn Physics

    29 Aug 2024 | Teaching Materials | Contributor(s):

    By Dr Pankaj Mehrotra

    University of the People, California, United States of America

    Scientific, leadership and recent artificial intelligence skills are integral frameworks of the curriculum. All of them together or individually can enhance knowledge, critical thinking and...

    https://qubeshub.org/publications/4971/?v=1

  2. Introductory Data Science Pipeline Activity – Yellow Fever and Global Precipitation

    15 May 2024 | Teaching Materials | Contributor(s):

    By Mary Mulcahy

    University of Pittsburgh at Bradford

    Students follow the steps of a tiny data science project from start to finish. They are given a research question "Are the number of cases of yellow fever associated with global average...

    https://qubeshub.org/publications/4785/?v=1

  3. Learn Biological Sciences and Environmental Science through biodiversity and pollution

    15 May 2024 | Teaching Materials | Contributor(s):

    By Dr Pankaj Mehrotra

    University of the People, California, United States of America

    Biodiversity or biological diversity is the variety of and variability of biological life on Earth. Biodiversity is existing due to variation among living organisms from different sources air,...

    https://qubeshub.org/publications/4795/?v=1

  4. Ethics in ecological forecasting: four case-based teaching modules

    07 Feb 2024 | Teaching Materials | Contributor(s):

    By Abigail S.L. Lewis1, Dexter W. Howard1, Gerbrand Koren2, Cazimir Kowalski3, Jason McLachlan3, Jody Peters4, Georgia Smies5, Olivia Tabares6

    1. Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA 2. Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, the Netherlands 3. Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA 4. University of Notre Dame 5. Division of Natural Resources, Salish Kootenai College, Pablo, Montana, USA 6. The American School Foundation, Ciudad de México, México

    Working with ecological data often involves ethical considerations, particularly when data are applied to address societal needs. However, data science ethics are rarely included as part of...

    https://qubeshub.org/publications/4629/?v=1

  5. 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

  6. 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

  7. Using the IEDB to Predict Proteasomal Cleavage Events and T-cell Epitopes

    17 Dec 2022 | Teaching Materials | Contributor(s):

    By Miko Mallari1, Sheela Vemu2, Valerie Carson3, Golnar Afshar4, Alma Rodriguez Estrada5, Clifford Wilson6, Sandra Porter7

    1. City College of San Francisco 2. Waubonsee Community College 3. Hillsborough Community College 4. Skyline College 5. Aurora University 6. City Colleges of Chicago 7. Digital World Biology

    Research experiences provide a valuable view into the world of science and a great way to explore new fields and careers while developing critical thinking skills. The development and maintenance...

    https://qubeshub.org/publications/3595/?v=1

  8. Machine Learning Meets Medicine with Jenessa Peterson

    20 May 2022 | Teaching Materials | Contributor(s):

    By Janessa Peterson1, Megan Seifert2

    1. The Learning Agency 2. Headwaters Science Institute

    Jenessa Peterson is a former teacher turned data scientist/engineer and Director of Learning Engineering at The Learning Agency. Her more recent work in data science has included building a...

    https://qubeshub.org/publications/3169/?v=1

  9. 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

  10. 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

  11. 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....

    https://qubeshub.org/publications/1988/?v=1

  12. 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.

    https://qubeshub.org/publications/1978/?v=1

  13. 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

  14. 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

  15. 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.

    https://qubeshub.org/publications/1214/?v=4

  16. Population Demography in Swirl

    06 Nov 2019 | 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.

    https://qubeshub.org/publications/1214/?v=3

  17. 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

  18. 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...

    https://qubeshub.org/publications/1441/?v=1

  19. Introduction to Version Control and Git Workshop

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Leah Wasser, Max Joseph

    Learn how to use version control with Git to work collaboratively and back up your work.

    https://qubeshub.org/publications/1443/?v=1

  20. Writing Clean Code in R Workshop

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Max Joseph1, Leah Wasser

    Earth Lab - University of Colorado, Boulder

    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.

    https://qubeshub.org/publications/1442/?v=1

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