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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Publisher
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 -
blog post
PointsA new project to identify sites and vocabularies of digital IDs and AI Read on PointsJanuary 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 -
op-ed
Nieman LabSam Hinds and Janet Haven discuss how we will grapple with trust of text-generating AI tools. Read on Nieman LabDecember 2020 -
event
podcast
video
Data & SocietyDavid Robinson discusses an example of an effective application of an algorithm in healthcare. Read moreDecember 2020 -
blog post
PointsJill Lepore and danah boyd discuss how tech can’t fix democracy Read on PointsNovember 2020 -
event
podcast
video
Data & SocietyMichele Gilman and Meredith Broussard on everything poverty lawyers need to know about tech, law, and social justice. Read moreOctober 2020 -
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 -
event
video
Data & SocietyWatch the video of Databite No. 135 on integrating an AI system into clinical healthcare. Read moreSeptember 2020 -
report
Data & SocietyA Study of Integrating AI in Clinical Care Read moreSeptember 2020