Data Justice - Books

Max Liboiron uses plastic pollution research to show how environmental science can presume access to land, while modeling anticolonial research ethics.

Kate Crawford places AI back into material maps of extraction, labor, data capture, and state power, challenging the myth of immaterial intelligence.

This collection rewrites computing history through colonialism, race, gender, environment, and labor, refusing to treat technical problems as merely engineering problems.

It proposes seven practical principles that bring power analysis, intersectionality, situated knowledge, and co-design into data work itself.

Sasha Costanza-Chock develops community-centered design principles from trans and disability experience, challenging default users and expert power.

Ruha Benjamin names the “New Jim Code,” showing how automated systems repackage racial control as innovation and calling for abolitionist technological imagination.

Meredith Broussard critiques technochauvinism and reminds readers that not every social problem should be solved with software, data, or automation.

Safiya Umoja Noble uses search engines to show how supposedly neutral ranking systems reproduce anti-Black, misogynist, and commercial visibility regimes.

Virginia Eubanks follows algorithmic governance in welfare, housing, and child protection to show how “efficiency” turns poor people into targets of screening and punishment.

Cathy O’Neil explains how scoring, prediction, and risk models amplify existing inequalities across work, education, finance, and policing.