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  1. The Risk of Using Inductive Risk to Challenge the Value-Free Ideal.Inmaculada de Melo-Martín & Kristen Intemann - 2016 - Philosophy of Science 83 (4):500-520.
    The argument from inductive risk has been embraced by many as a successful account of the role of values in science that challenges the value-free ideal. We argue that it is not obvious that the argument from inductive risk actually undermines the value-free ideal. This is because the inductive risk argument endorses an assumption held by proponents of the value-free ideal: that contextual values never play an appropriate role in determining evidence. We show that challenging the value-free ideal ultimately requires (...)
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  • Addressing Industry-Funded Research with Criteria for Objectivity.Kevin C. Elliott - 2018 - Philosophy of Science 85 (5):857-868.
    In recent years, industry-funded research has come under fire because of concerns that it can be biased in favor of the funders. This article suggests that efforts by philosophers of science to analyze the concept of objectivity can provide important lessons for those seeking to evaluate and improve industry-funded research. It identifies three particularly relevant criteria for objectivity: transparency, reproducibility, and effective criticism. On closer examination, the criteria of transparency and reproducibility turn out to have significant limitations in this context, (...)
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  • Traversing Technology Trajectories.Frederick Klaessig - 2021 - NanoEthics 15 (2):149-168.
    Scholars in science and technology studies, as well as economics and innovation studies, utilize the trajectory metaphor in describing a technology’s maturation. Impetus and purpose may differ, but the trajectory serves as a shared tool for assessing social change either in society at large or within a market sector, a firm, or a discipline. In reverse, the lens of a technology trajectory can be a basis for assessing technology, estimating economic growth, and selecting among plausible product development pathways. Emerging technologies (...)
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  • Why Causal Evidencing of Risk Fails. An Example From Oil Contamination.Elena Rocca & Rani Lill Anjum - 2019 - Ethics, Policy and Environment 22 (2):197-213.
    ABSTRACTMeasurements of environmental toxicity from long-term exposure to oil contamination have delivered inaccurate and contradictory results regarding the potential harms for humans and ecosyste...
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  • Standardized Study Designs, Value Judgments, and Financial Conflicts of Interest in Research.Kevin C. Elliott - 2016 - Perspectives on Science 24 (5):529-551.
    The potential for financial conflicts of interest to influence scientific research in problematic ways has recently become a significant topic of discussion across numerous fields. The chemical, petroleum, pharmaceutical, and tobacco industries have all been accused of suppressing evidence that their products are harmful, producing studies with questionable methodologies, generating questionable reinterpretations of studies that challenge their products, and working with public relations firms and front groups to mislead the public about relevant science. In an effort to address these influences, (...)
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  • How Biological Background Assumptions Influence Scientific Risk Evaluation of Stacked Genetically Modified Plants: An Analysis of Research Hypotheses and Argumentations.Fredrik Andersen & Elena Rocca - 2017 - Life Sciences, Society and Policy 13 (1):1-20.
    Scientific risk evaluations are constructed by specific evidence, value judgements and biological background assumptions. The latter are the framework-setting suppositions we apply in order to understand some new phenomenon. That background assumptions co-determine choice of methodology, data interpretation, and choice of relevant evidence is an uncontroversial claim in modern basic science. Furthermore, it is commonly accepted that, unless explicated, disagreements in background assumptions can lead to misunderstanding as well as miscommunication. Here, we extend the discussion on background assumptions from basic (...)
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  • A Taxonomy of Transparency in Science.Kevin C. Elliott - forthcoming - Canadian Journal of Philosophy:1-14.
    Both scientists and philosophers of science have recently emphasized the importance of promoting transparency in science. For scientists, transparency is a way to promote reproducibility, progress, and trust in research. For philosophers of science, transparency can help address the value-ladenness of scientific research in a responsible way. Nevertheless, the concept of transparency is a complex one. Scientists can be transparent about many different things, for many different reasons, on behalf of many different stakeholders. This paper proposes a taxonomy that clarifies (...)
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