Library
Use our library to explore Data & Society's original empirical research and read our expert commentary. Sort by media type, or select one or more topic categories to begin browsing.
Publisher
Title
Date
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Longform
Data & SocietyHow can we do less harm to communities of color with the technology we create? In their new paper Advancing Racial Literacy in Tech, Data & Society 2018-19 Fellows Jessie Daniels and Mutale Nkonde and 2017-18 Fellow Dara... Read moreMay 2019 -
Longform
The New InquiryIn this essay, D&S Fellow Taeyoon Choi interrogates technology designed for those with disabilities. "Even with the most advanced technology, disability can not and—sometimes should not—disappear from people. There are dis... Read on The New InquiryFebruary 2018 -
Longform
Washington MonthlyD&S lawyer-in-residence Rebecca Wexler unpacks how private companies hide flaws in software that the government uses to convict and exonerate people in the criminal justice system. What’s alarming about protecting trade se... Read on Washington MonthlyJune 2017 -
Longform
The New York TimesD&S resident Rebecca Wexler describes the flaws of an increasingly automated criminal justice system The root of the problem is that automated criminal justice technologies are largely privately owned and sold for profit... Read on The New York TimesJune 2017 -
Longform
Harvard Business ReviewD&S researcher Mark Latonero provides an overview of the role of large tech companies in refugee crises. While the 40-page brief is filled with arguments in support of immigration, it hardly speaks about refugees, except t... Read on Harvard Business ReviewMay 2017 -
Longform
ProPublicaJulia Angwin, Jeff Larson, Lauren Kirchner, and Surya Mattu complete the Black Box series with an analysis of premiums and payouts in California, Illinois, Texas and Missouri that shows that some major insurers charge minority ... Read on ProPublicaApril 2017 -
Longform
Real Life MagazineD&S fellow Zara Rahman writes about how immigrant families use social media and digital technologies. The consequence is that the home of our deeply personal information has gone from treasured letters stored in a box at o... Read on Real Life MagazineJanuary 2017 -
Longform
Model View CultureD&S fellow Zara Rahman details the year's 'data-driven confusion' and contends for a responsible data approach, both to practice and comprehension. We must take a responsible data approach to advocacy – address gaps in lit... Read on Model View CultureDecember 2016 -
Longform
ProPublicaD&S affiliate Surya Mattu, with Julia Angwin, Terry Parris Jr., and Seongtaek Lim, continue the Black Box series. Depending on what data they are trained on, machines can “learn” to be biased. That’s what happened in the f... Read on ProPublicaOctober 2016 -
Longform
ProPublicaD&S affiliate Surya Mattu with Julia Angwin examine how Amazon's shopping algorithm directs customers to buy Amazon or Amazon-affiliated sellers' merchandise, even if products from other sellers on the platform cost much le... Read on ProPublicaSeptember 2016