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  1. Data as performance – Showcasing cities through open data maps.Morgan Currie - 2020 - Big Data and Society 7 (1).
    This article describes how the City of Los Angeles is showcasing data-driven services to the public through dynamic visualisations of open data. I frame an analysis of this aspect of datafication in local government through linguistics and cultural theory; drawing on this set of literature I theorise the use of public data as both a performative tool and a performance of data-driven city services. I then discuss examples of interactive maps on the City of Los Angeles’ open data websites, produced (...)
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  • Hackathons, data and discourse: Convolutions of the data.Edgar Gómez Cruz & Helen Thornham - 2016 - Big Data and Society 3 (2).
    This paper draws together empirical findings from our study of hackathons in the UK with literature on big data through three interconnected frameworks: data as discourse, data as datalogical and data as materiality. We suggest not only that hackathons resonate the wider socio-technical and political constructions of data that are currently enacted in policy, education and the corporate sector, but also that an investigation of hackathons reveals the extent to which ‘data’ operates as a powerful discursive tool; how the discourses (...)
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  • “Make our communities better through data”: The moral economy of smart city labor.Preston Welker & Ryan Burns - 2022 - Big Data and Society 9 (1).
    Smart cities are now an established context in which data and digital technologies shape urban politics. Despite increased scholarly focus on algorithmic governance, smart cities and their data production still heavily rely on human labor, raising questions about how that labor is recruited and the implications of different recruitment strategies. In this paper, we illuminate the relations and practices mobilized to recruit the labor required to produce, analyze, and enact data that produce smart cities. We argue that smart cities recruit (...)
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  • Tech-based Prototypes in Climate Governance: On Scalability, Replicability, and Representation.Andrea Leiter & Marie Petersmann - 2022 - Law and Critique 33 (3):319-333.
    Abstract‘[T]he “mainstream” of global governance has changed course’ and in so doing, might well have ‘outrun the standard tools of critical, progressive, and reform-minded international lawyers’, Fleur Johns wrote in 2019. It is especially the critical tools of ‘appeals to history, context, language [and] the grassroots’ in response to universalist planning that Johns sees absorbed in the turn to prototyping as a new ‘style’ of governance. In this article, we take on this observation and explore how the ‘lean start-up mentality’ (...)
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  • Where Technology Leads, the Problems Follow. Technosolutionism and the Dutch Contact Tracing App.Lotje E. Siffels & Tamar Sharon - 2024 - Philosophy and Technology 37 (4):1-33.
    In April 2020, in the midst of its first pandemic lockdown, the Dutch government announced plans to develop a contact tracing app to help contain the spread of the coronavirus – the _Coronamelder._ Originally intended to address the problem of the overburdening of manual contract tracers, by the time the app was released six months later, the problem it sought to solve had drastically changed, without the solution undergoing any modification, making it a prime example of technosolutionism. While numerous critics (...)
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  • “You Social Scientists Love Mind Games”: Experimenting in the “divide” between data science and critical algorithm studies.Nick Seaver & David Moats - 2019 - Big Data and Society 6 (1).
    In recent years, many qualitative sociologists, anthropologists, and social theorists have critiqued the use of algorithms and other automated processes involved in data science on both epistemological and political grounds. Yet, it has proven difficult to bring these important insights into the practice of data science itself. We suggest that part of this problem has to do with under-examined or unacknowledged assumptions about the relationship between the two fields—ideas about how data science and its critics can and should relate. Inspired (...)
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  • Characterizing Hacking: Mundane Engagement in US Hacker and Makerspaces.Sarah R. Davies - 2018 - Science, Technology, and Human Values 43 (2):171-197.
    The rise of a “maker movement,” located in hacker and makerspaces and involving the democratization of technologies of production and support of grassroots innovation, is receiving increasing attention from science and technology studies scholarship. This article explores how hacking is characterized by users of hacker and makerspaces and relates this to broader discussion of the maker movement as, for instance, promoting innovation, engaged in countercultural critique, or as accessible to anyone. Based on an interview study of users of twelve hacker (...)
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  • Who Cares for Agile Work? In/Visibilized Work Practices and Their Emancipatory Potential.Alev Coban & Klara-Aylin Wenten - 2021 - NanoEthics 15 (1):57-70.
    The future of work has become a pressing matter of concern: Researchers, business consultancies, and industrial companies are intensively studying how new work models could be best implemented to increase workplace flexibility and creativity. In particular, the agile model has become one of the “must-have” elements for re-organizing work practices, especially for technology development work. However, the implementation of agile work often comes together with strong presumptions: it is regarded as an inevitable tool that can be universally integrated into different (...)
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