David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
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Studies in History and Philosophy of Science 40 (1):92-101 (2009)
When interests and preferences of researchers or their sponsors cause bias in experimental design, data interpretation or dissemination of research results, we normally think of it as an epistemic shortcoming. But as a result of the debate on science and values, the idea that all ‘extra-scientific’ influences on research could be singled out and separated from pure science is now widely believed to be an illusion. I argue that nonetheless, there are cases in which research is rightfully regarded as epistemologically deficient due to the influence of preferences on its outcomes. I present examples from biomedical research and offer an analysis in terms of social epistemology.
|Keywords||science and values bias social epistemology|
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References found in this work BETA
Heather Douglas (2000). Inductive Risk and Values in Science. Philosophy of Science 67 (4):559-579.
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Citations of this work BETA
Gregor Betz (2013). In Defence of the Value Free Ideal. European Journal for Philosophy of Science 3 (2):207-220.
Justin Biddle (2013). State of the Field: Transient Underdetermination and Values in Science. Studies in History and Philosophy of Science Part A 44 (1):124-133.
Kevin C. Elliott (2013). Douglas on Values: From Indirect Roles to Multiple Goals. Studies in History and Philosophy of Science Part A 44 (3):375-383.
Rebecca Kukla (2012). “Author TBD”: Radical Collaboration in Contemporary Biomedical Research. Philosophy of Science 79 (5):845-858.
Boaz Miller (2015). Why Knowledge is the Property of a Community and Possibly None of its Members. Philosophical Quarterly 65 (260):417-441.
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