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Comparativist rationality and

Topoi 23 (2):153-163 (2004)

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  1. Non-cognitive Values and Methodological Learning in the Decision-Oriented Sciences.Oliver Todt & José Luis Luján - 2017 - Foundations of Science 22 (1):215-234.
    The function and legitimacy of values in decision making is a critically important issue in the contemporary analysis of science. It is particularly relevant for some of the more application-oriented areas of science, specifically decision-oriented science in the field of regulation of technological risks. Our main objective in this paper is to assess the diversity of roles that non-cognitive values related to decision making can adopt in the kinds of scientific activity that underlie risk regulation. We start out, first, by (...)
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  • Practical Values and Uncertainty in Regulatory Decision-making.Oliver Todt, Javier Alcázar & José Luján - 2010 - Social Epistemology 24 (4):349-362.
    Regulatory science, which generates knowledge relevant for regulatory decision-making, is different from standard academic science in that it is oriented mainly towards the attainment of non-epistemic aims. The role of uncertainty and the limits to the relevance of academic science are being recognized more and more explicitly in regulatory decision-making. This has led to the introduction of regulation-specific scientific methodologies in order to generate decision-relevant data. However, recent practical experience with such non-standard methodologies indicates that they, too, may be subject (...)
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  • Practical Values and Uncertainty in Regulatory Decision‐making.José Luis Luján, Javier Rodríguez Alcázar & Oliver Todt - 2010 - Social Epistemology 24 (4):349-362.
    Regulatory science, which generates knowledge relevant for regulatory decision?making, is different from standard academic science in that it is oriented mainly towards the attainment of non?epistemic (practical) aims. The role of uncertainty and the limits to the relevance of academic science are being recognized more and more explicitly in regulatory decision?making. This has led to the introduction of regulation?specific scientific methodologies in order to generate decision?relevant data. However, recent practical experience with such non?standard methodologies indicates that they, too, may be (...)
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