Data Science and Ethics Resources

Books and Articles:

• Cathy O’Neil: Weapons of Math Destruction
• Sarah Jeong: Internet of Garbage
• Safiya Umoja Noble: Algorithms of Oppression
• Zeynep Tufekci: Engineering the Public
• Baumer, Kaplan, Horton: Modern Data Science with R, Chapter 6
• Matthew Salganik: Bit by Bit, Chapter 6
• Hanna Wallach: Big Data, Machine Learning, and the Social Sciences
• DJ Patil, Hilary Mason, Mike Loukides: Ethics and Data Science
• Ellen Broad: Made by Humans

Case Studies:

• YouTube and the Decision to Alter 'It Gets Better' Data
• Ethics of Using Hacked Data

Frameworks:

• UK Cabinet Office Data Science Ethical Framework
• Human Rights Approach to Information During Crisis - NOTE: The principles laid out here, while focused chiefly on human rights and humanitarian aid, are a great foundation for how data scientists should approach data collection, storage, and analysis.
• Manifesto for Data Practices
• The Financial Modeler's Manifesto
• The Behavioural Scientist's Ethics Checklist
• Ten Simple Rules for Responsible Big Data Research
• Ethical Guidelines for Statistical Practice

Syllabi:

• A Collection of Tech Ethics Syllabi