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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report
Data & Society"Discriminating Tastes" examines how bias may creep into evaluations of Uber drivers through consumer-sourced rating systems. Read moreOctober 2016 -
report
Data & SocietyD&S researchers Alex Rosenblat and Tim Hwang explore "the significant role of worker motivations and regional political environments on the social and economic outcomes of automation" in this report. Read moreOctober 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 -
Academic Article
Washington University Law ReviewIntroduction: Low-income communities have historically been subject to a wide range of governmental monitoring and related privacy intrusions in daily life. The privacy harms poor communities and their residents suffer as a re... Read on Washington University Law ReviewOctober 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 -
blog post
AnilDash.comAnil Dash analyzes how 'teaching kids to code' does not address the wider inequities that prevent diversity in tech. Many tech companies are still terrible at inclusion in their hiring, a weakness which is even more unacceptab... Read on AnilDash.comSeptember 2016 -
Longform
The Boston GlobeD&S affiliate Natasha Singer reports that Apple has developed a free coding app for middle-school students, yet it may not be as accessible as advertised. The Apple coding app is free, but it requires an iPad, the company’... Read on The Boston GlobeSeptember 2016 -
Academic Article
Journal of Law, Medicine and EthicsD&S affiliates Ifeoma Ajunwa and Kate Crawford, with Joel Ford, co-wrote this piece discussing how big data is used in wellness programs instituted by large corporations and how that can impact workers' privacy and can spark em... Read on Journal of Law, Medicine and EthicsSeptember 2016 -
blog post
Connected Learning AllianceD&S researcher Claire Fontaine writes a compelling piece analyzing whether or not school performance data reinforces segregation. Data is great at masking its own embedded bias, and school performance data allows privilege... Read on Connected Learning AllianceAugust 2016 -
Longform
Real Life MagazineD&S researcher Josh Scannell wrote an extensive analysis of predictive policing algorithms, showing that, while they were not built to be racist, they mirror a racist system. Northpointe’s algorithms will always be racist,... Read on Real Life MagazineAugust 2016