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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Academic Article
Columbia Law ReviewRyan Calo and D&S researcher Alex Rosenblat write this analysis of the newly termed 'taking economy' of Uber. Sharing economy firms such as Uber and Airbnb facilitate trusted transactions between strangers on digital platf... Read on Columbia Law ReviewMarch 2017 -
Academic Article
SSRND&S lawyer-in-residence Rebecca Wexler provides an analysis on trade secrecy in the criminal justice system. Abstract is below: From policing to evidence to parole, data-driven algorithmic systems and other automated softw... Read moreFebruary 2017 -
Academic Article
Sage JournalsD&S affiliate Kate Crawford co-wrote, with Mike Ananny, this piece discussing transparency and algorithmic accountability. Models for understanding and holding systems accountable have long rested upon ideals and logics of... Read on Sage JournalsDecember 2016 -
Academic Article
SSRNSarah Bird, Fernando Diaz, Hanna Wallach, with D&S affiliates Solon Barocas and Kate Crawford, wrote this analysis about implications in autonomous experimentation in AI. In the field of computer science, large-scale exp... Read on SSRNOctober 2016 -
Academic Article
Florida Law Review ForumThe mythology surrounding “big data” rests on the notion that technical systems can increase efficiency and decrease bias. Such “neutral” systems are supposedly good for implementing legal logic because, like these systems, law... Read on Florida Law Review ForumAugust 2016 -
Academic Article
arXivD&S fellow Diana Freed co-authored a health technology piece that introduces an approach called YADL (Your Activities of Daily Living), which 'uses images of ADLs and personalization to improve survey efficiency and the pat... Read on arXivAugust 2016 -
Academic Article
International Journal of CommunicationD&S researcher Alex Rosenblat and Luke Stark published a case study of Uber drivers and highlight the information and power asymmetries produced by the Uber application. Abstract is below. Uber manages a large, disaggregat... Read on International Journal of CommunicationJuly 2016 -
Academic Article
Taylor & Francis OnlineD&S advisor Tarleton Gillespie writes "Algorithmically recognizable: Santorum’s Google problem, and Google’s Santorum problem". Abstract is below: Because information algorithms make judgments that can have powerful conseq... Read on Taylor & Francis OnlineJuly 2016 -
Academic Article
NatureSorelle FriedlerPaul RaccugliaKatherine C. ElbertPhilip D.F. AdlerCasey FalkMalia B. WennyAurelio MolloMatthias ZellerD&S fellow Sorelle Friedler's latest research appears in Nature. She and her team document their creation of a machine-learning algorithm that accurately predicts new ways to make crystals. The team trained the algorithm u... Read on NatureMay 2016 -
Academic Article
SSRNIn this Working Paper from We Robot 2016, D&S Researcher Madeleine Elish employs the concept of “moral crumple zones” within human-machine systems as a lens through which to think about the limitations of current frameworks... Read on SSRNMarch 2016