Practical values and uncertainty in regulatory decision making Todt, Oliver Rodríguez Alcázar, Francisco Javier Luján, José Luis Regulatory Science Risk Assessment Short‐term tests Weight of Evidence Approach Standards of Evidence Methodological Decisions Uncertainty 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). 2018-05-29T06:21:03Z 2018-05-29T06:21:03Z 2010 journal article Todt, Oliver; Rodríguez Alcázar, Javier and Luján, José Luis (2010) 'Practical Values and Uncertainty in Regulatory Decision-making', Social Epistemology, 24: 4, 349-362 [http://hdl.handle.net/10481/51169] http://hdl.handle.net/10481/51169 10.1080/02691728.2010.506961 eng http://creativecommons.org/licenses/by-nc-nd/3.0/ open access Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License Taylor & Francis