STAT159: Contributing to Scientific Open Source Software

Kirstie, Chris and Min's very brief slides for Reproducible and Collaborative Statistical Data Science (STAT 159) at UC Berkeley in November 2025.

Live copy of Google Slides to remix and reuse: https://docs.google.com/presentation/d/1fpMT3FlkW4ed8QE6LgXBQ_PWouVs-xRctd5Mz1Yv7Ww/edit?usp=sharing

Some useful links:

• Aliveness and where to find it: https://benbyfax.substack.com/p/aliveness
• Jupyter Book
  • Website: https://jupyterbook.org
  • GitHub: https://github.com/jupyter-book
  • Blog: https://blog.jupyterbook.org/posts/2025-11-04-why-make-a-major-release
• Jupyter Hub
  • Website: https://jupyter.org/hub
  • GitHub: https://github.com/jupyterhub
• Voices of Juptyer Hub report: https://voicesofjupyterhub.orgmycology.com
• 2i2c
  • Website: https://2i2c.org
  • On being a good open source citizen: supporting a healthy ecosystem through directed and foundational contributions: https://2i2c.org/blog/2025/good-citizen
  • From scattered effort to strategic impact: How we're systematizing our foundational open source contributions: https://2i2c.org/blog/2025/foundational-contributions
• University of California Open Source Program Office: https://ucospo.net
• Berkeley Institute for Data Science: https://bids.berkeley.edu
• Kirstie's guest lecture for CYPLAN101: Reproducible Research and Open Source Software: https://doi.org/10.5281/zenodo.17115289