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  1. Philosophical import of non-epistemic values in clinical trials and data interpretation.Joby Varghese - 2019 - History and Philosophy of the Life Sciences 41 (2):14.
    In this essay, I argue that at least in two phases of pharmaceutical research, especially while assessing the adequacy of the accumulated data and its interpretation, the influence of non-epistemic values is necessary. I examine a specific case from the domain of pharmaceutical research and demonstrate that there are multiple competing sets of values which may legitimately or illegitimately influence different phases of the inquiry. In such cases, the choice of the appropriate set of values—epistemic as well as non-epistemic—should be (...)
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  • In favour of a Millian proposal to reform biomedical research.Julian Reiss - 2010 - Synthese 177 (3):427 - 447.
    One way to make philosophy of science more socially relevant is to attend to specific scientific practises that affect society to a great extent. One such practise is biomedical research. This paper looks at contemporary U.S. biomedical research in particular and argues that it suffers from important epistemic, moral and socioeconomic failings. It then discusses and criticises existing approaches to improve on the status quo, most prominently by Thomas Pogge (a political philosopher), Joseph Stiglitz (a Nobel-prize winning economist) and James (...)
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  • Addressing problems in profit-driven research: how can feminist conceptions of objectivity help?Kristen Intemann & Inmaculada de Melo-Martín - 2014 - European Journal for Philosophy of Science 4 (2):135-151.
    Although there is increased recognition of the inevitable--and perhaps sometimes beneficial-- role of values in scientific inquiry, there are also growing concerns about the potential for commercial values to lead to bias. This is particularly evident in biomedical research. There is a concern that conflicts of interest created by commercialization may lead to biased reasoning or methodological choices in testing drugs and medical interventions. In addition, such interests may lead research in directions that are unresponsive to pressing social needs, when (...)
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  • The promise and perils of industry‐funded science.Bennett Holman & Kevin C. Elliott - 2018 - Philosophy Compass 13 (11).
    Private companies provide by far the most funding for scientific research and development. Nevertheless, relatively little attention has been paid to the dynamics of industry‐funded research by philosophers of science. This paper addresses this gap by providing an overview of the major strengths and weaknesses of industry research funding, together with the existing recommendations for addressing the weaknesses. It is designed to provide a starting point for future philosophical work that explores the features of industry‐funded research, avenues for addressing concerns, (...)
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  • Science as Experience: A Deweyan Model of Science Communication.Megan K. Halpern & Kevin C. Elliott - 2022 - Perspectives on Science 30 (4):621-656.
    The field of science communication is plagued by challenges. Communicators face the difficulty of responding to unjustified public skepticism over issues like climate change and COVID-19 while also acknowledging the fallibility and limitations of scientific knowledge. Our goal in this paper is to suggest a new model for science communication that can help foster more productive, respectful relationships among all those involved in science communication. Inspired by the pragmatist philosophy of John Dewey, we develop an experience model, according to which (...)
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  • Bigger Isn’t Better: The Ethical and Scientific Vices of Extra-Large Datasets in Language Models.Trystan S. Goetze & Darren Abramson - 2021 - WebSci '21: Proceedings of the 13th Annual ACM Web Science Conference (Companion Volume).
    The use of language models in Web applications and other areas of computing and business have grown significantly over the last five years. One reason for this growth is the improvement in performance of language models on a number of benchmarks — but a side effect of these advances has been the adoption of a “bigger is always better” paradigm when it comes to the size of training, testing, and challenge datasets. Drawing on previous criticisms of this paradigm as applied (...)
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  • The social organisation of science as a question for philosophy of science.Jaana Eigi - 2016 - Dissertation, University of Tartu
    Philosophy of science is showing an increasing interest in the social aspects and the social organisation of science—the ways social values and social interactions and structures play a role in the creation of knowledge and the ways this role should be taken into account in the organisation of science and science policy. My thesis explores a number of issues related to this theme. I argue that a prominent approach to the social organisation of science—Philip Kitcher’s well-ordered science—runs into a number (...)
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