4 found
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  1.  16
    Broken data: Conceptualising data in an emerging world.Melisa Duque, Robert Willim, Minna Ruckenstein & Sarah Pink - 2018 - Big Data and Society 5 (1).
    In this article, we introduce and demonstrate the concept-metaphor of broken data. In doing so, we advance critical discussions of digital data by accounting for how data might be in processes of decay, making, repair, re-making and growth, which are inextricable from the ongoing forms of creativity that stem from everyday contingencies and improvisatory human activity. We build and demonstrate our argument through three examples drawn from mundane everyday activity: the incompleteness, inaccuracy and dispersed nature of personal self-tracking data; the (...)
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  2.  17
    The social imaginaries of data activism.Minna Ruckenstein & Tuukka Lehtiniemi - 2018 - Big Data and Society 6 (1).
    Data activism, promoting new forms of civic and political engagement, has emerged as a response to problematic aspects of datafication that include tensions between data openness and data ownership, and asymmetries in terms of data usage and distribution. In this article, we discuss MyData, a data activism initiative originating in Finland, which aims to shape a more sustainable citizen-centric data economy by means of increasing individuals' control of their personal data. Using data gathered during long-term participant-observation in collaborative projects with (...)
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  3.  24
    Datafied Life.Minna Ruckenstein & Mika Pantzar - 2015 - Techné: Research in Philosophy and Technology 19 (2):191-210.
    Techno-Anthropology recognizes the intertwining of technology with aims, needs, practices, and skills; ‘the techno’ and ‘the anthro’ are not only interconnected, but historically co-constituted. In this paper developments in ‘personal analytics’ are examined with the aim of proposing epistemological and methodological directions for Techno-Anthropological exploration. Personal analytics refers to the field of interactions that surrounds tracking various bodily and mental functions, including the analysis, visualization, and distribution of the data, thereby encompassing people’s involvements with measuring devices and data movements. By (...)
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  4.  18
    Time to re-humanize algorithmic systems.Minna Ruckenstein - 2023 - AI and Society 38 (3):1241-1242.