Resources

Resources related to public interest computing and life in general. Some by me, some by others. Here are a couple quick links if you're looking for my 📚 book list or my 📄syllabus about social and ethical issues in computing.

🔬 For Auditing Algorithms:

• My Compiled List of Algorithm Audits
• The Algorithmic Justice League
• Methods for Auditing Algorithms (by Christian Sandvig et al.)
• Overview of The Markup's Algorithm Audits (by Julia Angwin)
• Helpful visual guide to learning Pandas for data science

🧾 For Documenting Datasets:

• My Nutrition Label Template for Dataset Documentation
• Datasheets for Datasets (by Timnit Gebru et al.)
• Data Nutrition Project (Berkman Klein Center & MIT Media Lab)
• Data is Plural (newsletter/archive of datasets by Jeremy Singer-Vine)

🚨 For Learning About The Ethics of Computing:

• Tech and Social Justice Resources (list by Ruha Benjamin)
• Coded Bias (Netflix documentary directed by Shalini Kantayya)
• Good Docs (library of educational documentaries)
• The Markup (investigative journalism)
• Justice Tech Download (newsletter by Jason Tashea)
• Upturn (organization for technology and justice)
• My Book List
• My Syllabus for social and ethical issues in computing

⚖️ For Organizing & Transformative Justice:

• Prison Culture (blog by Mariam Kaba)
• Prison Abolition Resource Guide (list by Micah Herskind)
• Chicago Alliance Against Racist and Political Repression (CAARPR)
• A Just Harvest (in Rogers Park)
• Northwestern University Graduate Workers (NUGW)
• The Evolution of Trust (game by Nicky Case)

🎓 For Surviving Academia

• The Illustrated Guide to a Ph.D. by Matt Might
• Twenty things I wish I’d known when I started my PhD by Lucy A. Taylor
• (Still developing this section - please send resources my way!)