Social Epistemology 24 (4):349-362 (2010)

Authors
Javier Rodríguez
Universidad Complutense de Madrid
Abstract
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 subject to important limitations. We argue that the attainment of non?epistemic values and aims (like the protection of human health and the environment) requires not only control of the quality of the data and the methodologies, but also the selection of the level of regulation deemed adequate in each specific case (including a decision about which of the two, under?regulation or over?regulation, would be more acceptable).
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DOI 10.1080/02691728.2010.506961
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References found in this work BETA

The Structure of Scientific Revolutions.Thomas S. Kuhn - 1962 - University of Chicago Press.
The Structure of Scientific Revolutions.Thomas Samuel Kuhn - 1962 - Chicago: University of Chicago Press.
Pursuit of Truth.Willard Van Orman Quine - 1990 - Harvard University Press.

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Citations of this work BETA

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Gender Issues in Corporate Leadership.Devora Shapiro & Marilea Bramer - 2013 - Handbook of the Philosophical Foundations of Business Ethics:1177-1189.

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