Data JusticeBooks

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

Kate Crawford maps AI through minerals, energy, hidden labor, training data, classification, and state surveillance, revealing the extraction and concentrated power beneath machine 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.

Starting from trans airport screening and disability justice, Sasha Costanza-Chock argues for design led by affected communities, placing benefit, ownership, and accountability above expert good intentions.

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

Drawing on experience as both programmer and journalist, Meredith Broussard dismantles the belief that technology is always the best answer and maps the limits between computation, judgment, and public responsibility.

Safiya Umoja Noble begins with the stigmatization of Black girls in commercial search to expose how advertising markets, platform monopoly, and knowledge classification produce algorithmic oppression.

Investigating welfare, homeless housing, and child protection, Virginia Eubanks shows how automation disguises austerity as neutral efficiency and subjects poor people to continuous surveillance.

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