- Algorithms of Oppression: How Search Engines Reinforce Racism. Safiya Umoja Noble (2018).
- Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Kate Crawford (2020).
- Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. Virginia Eubanks (2018).
- Awkward Intelligence: Where AI Goes Wrong, Why It Matters, and What We Can Do about It. Katharina A Zweig, Noah Harley (Translator) (2022).
- Code: And Other Laws of Cyberspace, Version 2.0. Lawrence Lessig (2006). 💾
- Corruptible: Who Gets Power and How It Changes Us. Brian Klaas (2021).
- Data Driven Nonprofits. Steve MacLaughlin (2016).
- Data Feminism. Catherine D’Ignazio, Lauren F. Klein (2020).
- Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think. Hans Rosling, Ola Rosling, Anna Rosling Rönnlund (2018).
- Free Software, Free Society: Selected Essays. Richard M. Stallman, Lawrence Lessig, Joshua Gay (Editor) (2002). 💾
- Giants: The Global Power Elite. Peter Phillips (2018).
- Hello World: How to be Human in the Age of the Machine. Hannah Fry (2018).
- How an Economy Grows and Why It Crashes. Peter D. Schiff (2010).
- How to Make the World Add Up: Ten Rules for Thinking Differently About Numbers. Tim Harford (2020).
- Invisible Women: Data Bias in a World Designed for Men. Caroline Criado Pérez (2019).
- Mindf*ck: Cambridge Analytica and the Plot to Break America. Christopher Wylie, Graham Halstead (Narrator) (2019).
- Not the End of the World: How We Can Be the First Generation to Build a Sustainable Planet. Hannah Ritchie (2024).
- Poor Economics: A Radical Rethinking of the Way to Fight Global Poverty. Abhijit V. Banerjee, Esther Duflo (2011).
- Race After Technology: Abolitionist Tools for the New Jim Code. Ruha Benjamin (2019).
- Skin in the Game: The Hidden Asymmetries in Daily Life. Nassim Nicholas Taleb (2018).
- The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. Shoshana Zuboff (2020).
- The Boy Who Could Change the World: The Writings of Aaron Swartz. Aaron Swartz, Lawrence Lessig (Introduction) (2016).
- The Black Box Society: The Secret Algorithms That Control Money and Information. Frank Pasquale (2015).
- The Black Swan: The Impact of the Highly Improbable. Nassim Nicholas Taleb (2007).
- The Drunkard's Walk: How Randomness Rules Our Lives. Leonard Mlodinow (2008).
- The Ethical Algorithm: The Science of Socially Aware Algorithm Design. Michael Kearns, Aaron Roth (2019).
- The Great Escape: Health, Wealth, and the Origins of Inequality. Angus Deaton (2013).
- The Hacker Ethic. Pekka Himanen, Linus Torvalds (Contributor), Manuel Castells (Epilogue) (1999).
- The Open Revolution: Rewriting the rules of the information age. Rufus Pollock (2018). 💾
- Thinking, Fast and Slow. Daniel Kahneman (2011).
- Treasure Islands: Uncovering the Damage of Offshore Banking and Tax Havens. Nicholas Shaxson (2011).
- Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Cathy O'Neil (2016).
- Who Owns the Future?. Jaron Lanier (2013).
Note 1: There are downloadable ebooks marked with the 💾 icon, but please consider buying the book from the author.
Note 2: This is a personal list of books that I think can be relevant in your journey into Data for Good and the local and global issues.
Note 3: Please send me your book recommendations creating a new issue.