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  1. Speaking Out: Toward an Institutional Agenda for Refashioning STS Scholars as Public Intellectuals.Sharon McKenzie Stevens - 2008 - Science, Technology, and Human Values 33 (6):730-753.
    Bijker calls for scholars in science and technology studies to become public intellectuals by actively working toward “democratizing... technological culture.” Many STS scholars have developed practices that support democratic and public activity; yet, these typically require individual commitment with inadequate institutional support. The public work of STS scholars can be better supported through a program that includes using specialist research in nonreproductive educational contexts, redefining and revaluing academic service, developing more accessible ways of writing, and publishing and valuing STS-based texts (...)
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  • Data Science as Machinic Neoplatonism.Dan McQuillan - 2018 - Philosophy and Technology 31 (2):253-272.
    Data science is not simply a method but an organising idea. Commitment to the new paradigm overrides concerns caused by collateral damage, and only a counterculture can constitute an effective critique. Understanding data science requires an appreciation of what algorithms actually do; in particular, how machine learning learns. The resulting ‘insight through opacity’ drives the observable problems of algorithmic discrimination and the evasion of due process. But attempts to stem the tide have not grasped the nature of data science as (...)
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  • Conceptualizing Numbers at the Science–Policy Interface.Zora Kovacic - 2018 - Science, Technology, and Human Values 43 (6):1039-1065.
    Quantitative information is one of the means used to interface science with policy. As a consequence, much effort is invested in producing quantitative information for policy and much criticism is directed toward the use of numbers in policy. In this paper, I analyze five approaches drawn from such criticisms and propose alternative uses of quantitative information for governance: valuation of ecosystem services, social multicriteria evaluation, quantification of uncertainty through the Numeral, Unit, Spread, Assessment, Pedigree approach, Quantitative Story-Telling, and the heuristic (...)
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  • Societal Impact in Research Collaborations beyond the Boundaries of Science.Inkeri Koskinen - 2023 - Perspectives on Science 31 (6):744-770.
    Research collaborations beyond the boundaries of science—such as transdisciplinary, participatory or co-research projects—usually aim at increasing the societal impact of the research conducted. In the literature discussing such collaborations, as well as in science policy endorsing them, it is generally assumed that the wanted societal impact is achieved through exchange that contributes to knowledge production and to the results of the research. However, collaboration beyond the boundaries of science can help a research project reach its societal impact goals even if (...)
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  • On Technological Determinism: A Typology, Scope Conditions, and a Mechanism.Allan Dafoe - 2015 - Science, Technology, and Human Values 40 (6):1047-1076.
    “Technological determinism” is predominantly employed as a critic’s term, used to dismiss certain classes of theoretical and empirical claims. Understood more productively as referring to claims that place a greater emphasis on the autonomous and social-shaping tendencies of technology, technological determinism is a valuable and prominent perspective. This article will advance our understanding of technological determinism through four contributions. First, I clarify some debates about technological determinism through an examination of the meaning of technology. Second, I parse the family of (...)
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  • Democratizing Knowledge: Sustainable and Conventional Agricultural Field Days as Divergent Democratic Forms.Michael S. Carolan - 2008 - Science, Technology, and Human Values 33 (4):508-528.
    This article highlights that in our rush to call for the democratization of science and expertise we must not forget to speak to what type of democratization we are calling for. In short, not all participatory forms are the same. In developing this argument, I examine one such form that has yet to receive much attention from science and technology studies scholars: the agricultural field day. In examining the field day, we find that its orientation—that is, toward either the conventional (...)
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