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
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
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
ACM FAT* 2020A study of AI in clinical care use, with a particular focus on the sepsis detection system, "Sepsis Watch." Read on ACM FAT* 2020January 2020 -
Academic Article
SSRNMadeleine Clare Elish uses a case study of "sepsis-watch" to understand how the integration of AI tools is changing the medical space. Read on SSRNFebruary 2019 -
Academic Article
SSRNHow are AI technologies being integrated in health care? What are the broader implications of this integration? Data & Society Researcher Madeleine Clare Elish investigates. "This paper examines the development of a machin... Read on SSRNOctober 2018 -
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 -
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 Communication"Communication technologies increasingly mediate data exchanges rather than human communication. We propose the term data valences to describe the differences in expectations that people have for data across different social se... Read on International Journal of CommunicationMay 2015