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  1.  29
    Group Privacy.Bart van der Sloot, Luciano Floridi & Linnet Taylor (eds.) - 2016 - Springer Verlag.
    The goal of the book is to present the latest research on the new challenges of data technologies. It will offer an overview of the social, ethical and legal problems posed by group profiling, big data and predictive analysis and of the different approaches and methods that can be used to address them. In doing so, it will help the reader to gain a better grasp of the ethical and legal conundrums posed by group profiling. The volume first maps the (...)
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  2.  7
    What is Data Justice? The Case for Connecting Digital Rights and Freedoms Globally.Linnet Taylor - 2017 - Big Data and Society 4 (2).
    The increasing availability of digital data reflecting economic and human development, and in particular the availability of data emitted as a by-product of people’s use of technological devices and services, has both political and practical implications for the way people are seen and treated by the state and by the private sector. Yet the data revolution is so far primarily a technical one: the power of data to sort, categorise and intervene has not yet been explicitly connected to a social (...)
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  3.  11
    The Price of Certainty: How the Politics of Pandemic Data Demand an Ethics of Care.Linnet Taylor - 2020 - Big Data and Society 7 (2).
    The Covid-19 pandemic broke on a world whose grip on epistemic trust was already in disarray. The first months of the pandemic saw many governments publicly performing reliance on epidemiological and modelling expertise in order to signal that data would be the basis for justifying whatever population-level measures of control were judged necessary. But comprehensive data has not become available, and instead scientists, policymakers and the public find themselves in a situation where policy inputs determine the data available and vice (...)
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  4. Critical Data Studies: A Dialog on Data and Space.Jim Thatcher, Linnet Taylor & Craig M. Dalton - 2016 - Big Data and Society 3 (1).
    In light of recent technological innovations and discourses around data and algorithmic analytics, scholars of many stripes are attempting to develop critical agendas and responses to these developments. In this mutual interview, three scholars discuss the stakes, ideas, responsibilities, and possibilities of critical data studies. The resulting dialog seeks to explore what kinds of critical approaches to these topics, in theory and practice, could open and make available such approaches to a broader audience.
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  5.  16
    Public Actors Without Public Values: Legitimacy, Domination and the Regulation of the Technology Sector.Linnet Taylor - 2021 - Philosophy and Technology 34 (4):897-922.
    The scale and asymmetry of commercial technology firms’ power over people through data, combined with the increasing involvement of the private sector in public governance, means that increasingly, people do not have the ability to opt out of engaging with technology firms. At the same time, those firms are increasingly intervening on the population level in ways that have implications for social and political life. This creates the potential for power relations of domination, and demands that we decide what constitutes (...)
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  6.  4
    What is Responsible and Sustainable Data Science?Nadezhda Purtova & Linnet Taylor - 2019 - Big Data and Society 6 (2).
    In the expansion of health ecosystems, issues of responsibility and sustainability of the data science involved are central. The idea that these values should be central to the practice of data science is increasingly gaining traction, yet there is no agreement on what exactly makes data science responsible or sustainable because these concepts prove slippery when applied to a global field involving commercial, academic and governmental actors. This lack of clarity is causing problems in setting goals and boundaries for data (...)
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  7.  3
    Emerging Practices and Perspectives on Big Data Analysis in Economics: Bigger and Better or More of the Same?Eric Meyer, Ralph Schroeder & Linnet Taylor - 2014 - Big Data and Society 1 (2).
    Although the terminology of Big Data has so far gained little traction in economics, the availability of unprecedentedly rich datasets and the need for new approaches – both epistemological and computational – to deal with them is an emerging issue for the discipline. Using interviews conducted with a cross-section of economists, this paper examines perspectives on Big Data across the discipline, the new types of data being used by researchers on economic issues, and the range of responses to this opportunity (...)
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  8. Introduction: A New Perspective on Privacy.Bart Sloot, Luciano Floridi & Linnet Taylor - 2017 - In Bart van der Sloot, Luciano Floridi & Linnet Taylor (eds.), Group Privacy. Springer Verlag.
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