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  1. How to Assess the Epistemic Wrongness of Sponsorship Bias? The Case of Manufactured Certainty.Jon Leefmann - 2021 - Frontiers In 6 (Article 599909):1-13.
    Although the impact of so-called “sponsorship bias” has been the subject of increased attention in the philosophy of science, what exactly constitutes its epistemic wrongness is still debated. In this paper, I will argue that neither evidential accounts nor social–epistemological accounts can fully account for the epistemic wrongness of sponsorship bias, but there are good reasons to prefer social–epistemological to evidential accounts. I will defend this claim by examining how both accounts deal with a paradigm case from medical epistemology, recently (...)
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  • The limits of conventional justification: inductive risk and industry bias beyond conventionalism.Miguel Ohnesorge - 2020 - Frontiers in Research Metric and Analytics 14.
    This article develops a constructive criticism of methodological conventionalism. Methodological conventionalism asserts that standards of inductive risk ought to be justified in virtue of their ability to facilitate coordination in a research community. On that view, industry bias occurs when conventional methodological standards are violated to foster industry preferences. The underlying account of scientific conventionality, however, is problematically incomplete. Conventions may be justified in virtue of their coordinative functions, but often qualify for posterior empirical criticism as research advances. Accordingly, industry (...)
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  • How non-epistemic values can be epistemically beneficial in scientific classification.Soohyun Ahn - 2020 - Studies in History and Philosophy of Science Part A 84:57-65.
    The boundaries of social categories are frequently altered to serve normative projects, such as social reform. Griffiths and Khalidi argue that the value-driven modification of categories diminishes the epistemic value of social categories. I argue that concerns over value-modified categories stem from problematic assumptions of the value-free ideal of science. Contrary to those concerns, non-epistemic value considerations can contribute to the epistemic improvement of a scientific category. For example, the early history of the category infantile autism shows how non-epistemic value (...)
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  • What is epistemically wrong with research affected by sponsorship bias? The evidential account.Alexander Reutlinger - 2020 - European Journal for Philosophy of Science 10 (2):1-26.
    Biased research occurs frequently in the sciences. In this paper, I will focus on one particular kind of biased research: research that is subject to sponsorship bias. I will address the following epistemological question: what precisely is epistemically wrong with biased research of this kind? I will defend the evidential account of epistemic wrongness: that is, research affected by sponsorship bias is epistemically wrong if and only if the researchers in question make false claims about the evidential support of some (...)
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  • Bias and values in scientific research.Torsten Wilholt - 2009 - Studies in History and Philosophy of Science Part A 40 (1):92-101.
    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 (...)
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  • Dissent and environmental communication: A semiotic approach.David Low - 2008 - Semiotica 2008 (172):47-64.
    This article examines environmental communication from within an enquiry perspective. It is argued that dissent is a vital part of any enquiry into environmental issues. Aspects of Charles S. Peirce's semiotic logic are introduced and discussed with reference to environmental communication and dissent. Environmental problems are shown to be at root disconnections between the sign use of humans and the sign use of an environment. Such disconnections arise when dissenting voices from an environment are ignored, misinterpreted, or suppressed. It is (...)
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  • Using Criminalization and Due Process to Reduce Scientific Misconduct.Benjamin K. Sovacool - 2005 - American Journal of Bioethics 5 (5):W1-W7.
    The issue of how to best minimize scientific misconduct remains a controversial topic among bioethicists, professors, policymakers, and attorneys. This paper suggests that harsher criminal sanctions against misconduct, better protections for whistleblowers, and the creation of due process standards for misconduct investigations are urgently needed. Although the causes of misconduct and estimates of problem remain varied, the literature suggests that scientific misconduct—fraud, fabrication, and plagiarism of scientific research—continues to damage public health and trust in science. Providing stricter criminal statutes against (...)
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  • Design Rules: Industrial Research and Epistemic Merit.Torsten Wilholt - 2006 - Philosophy of Science 73 (1):66-89.
    A common complaint against the increasing privatization of research is that research that is conducted with the immediate purpose of producing applicable knowledge will not yield knowledge as valuable as that generated in more curiosity‐driven, academic settings. In this paper, I make this concern precise and reconstruct the rationale behind it. Subsequently, I examine the case of industry research on the giant magnetoresistance effect in the 1990s as a characteristic example of research undertaken under considerable pressure to produce applicable results. (...)
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  • Methodological and Cognitive Biases in Science: Issues for Current Research and Ways to Counteract Them.Manuela Fernández Pinto - 2023 - Perspectives on Science 31 (5):535-554.
    Arguments discrediting the value-free ideal of science have left us with the question of how to distinguish desirable values from biases that compromise the reliability of research. In this paper, I argue for a characterization of cognitive biases as deviations of thought processes that systematically lead scientists to the wrong conclusions. In particular, cognitive biases could help us understand a crucial issue in science today: how systematic error is introduced in research outcomes, even when research is evaluated as of good (...)
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  • Disclosing and managing non-financial conflicts of interest in scientific publications.David Resnik - 2023 - Research Ethics 19 (2):121-138.
    In the last decade, there has been increased recognition of the importance of disclosing and managing non-financial conflicts of interests to safeguard the objectivity, integrity, and trustworthiness of scientific research. While funding agencies and academic institutions have had policies for addressing non-financial interests in grant peer review and research oversight since the 1990s, scientific journals have been only recently begun to develop such policies. An impediment to the formulation of effective journal policies is that non-financial interests can be difficult to (...)
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