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.
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Title
Date
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Academic Article
Taylor & Francis OnlineData-driven technologies represent a technological rationality that renders our experiences in the world as distant, unfamiliar, and perhaps even unreliable when compared to the knowledge about the world that our technological systems present us with. Read on Taylor & Francis OnlineFebruary 2021 -
Academic Article
Lives of DataThis essay conceptualizes study the imbrication as a maxim in researching the role of datasets in producing, distributing, and consuming knowledge. Read on Lives of DataJanuary 2021 -
Academic Article
PatternsThis paper describes the coupling of machine learning and the social production of risk in general, with specific illustrations drawn from machine learning applications in response to the COVID-19 pandemic. Read on PatternsOctober 2020 -
Academic Article
Social Science Research NetworkOur study of the history of impact assessments shows that "impacts" are an evaluative construct that enable institutions to identify and ameliorate harms experienced because of a policy decision or system. Read on Social Science Research NetworkSeptember 2020 -
Academic Article
NatureKellie Owens and Alexis Walker list some concrete steps to enable anti-racist practices in medical research and practice. Read on NatureSeptember 2020 -
Academic Article
Cultural AnthropologySensing Hate, Capturing Dissensus Read on Cultural AnthropologyAugust 2020 -
Academic Article
Data & SocietyThis paper critically examines existing modes of participation in design practice and machine learning. Read moreJuly 2020 -
Academic Article
Social Media + SocietyThe Shifting Terms of Labor and Compensation in the Platform Economy Read on Social Media + SocietyJune 2020 -
Academic Article
Social Science Research NetworkBecause AIAs are still an incipient governance strategy, approaching them as social constructions that do not require a single or universal approach offers a chance to produce interventions that emerge from careful deliberation. Read on Social Science Research NetworkMay 2020 -
Academic Article
Harvard Data Science ReviewThere is no one "truth" to data. Read on Harvard Data Science ReviewMay 2020