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dc.contributor.authorSALTELLI Andreaen_GB
dc.contributor.authorFUNTOWICZ Silvio o.en_GB
dc.date.accessioned2015-04-30T00:15:16Z-
dc.date.available2014-01-30en_GB
dc.date.available2015-04-30T00:15:16Z-
dc.date.created2014-01-10en_GB
dc.date.issued2014en_GB
dc.date.submitted2013-11-11en_GB
dc.identifier.citationISSUES IN SCIENCE AND TECHNOLOGY p. 79-85en_GB
dc.identifier.issn0748-5492en_GB
dc.identifier.urihttp://www.issues.org/30.2/en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC85777-
dc.description.abstractIn order to ensure quality in the treatment of uncertainty of science for policy more rigorous appraisal methods are needed to substantiate the inference offered via mathematical modelling. Seven rules are suggested to extend the use of classic sensitivity analysis to sensitivity auditing of models used in a policy context. Examples illustrates the various rules. The present articles draws on a more technical paper published on Foresight and Innovation Policy, Special Issue on Plausibility.en_GB
dc.description.sponsorshipJRC.G.3-Econometrics and applied statisticsen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherNATL ACAD SCIENCESen_GB
dc.relation.ispartofseriesJRC85777en_GB
dc.titleWhen all models are wrong: More stringent quality criteria are needed for models used at the science-policy interfaceen_GB
dc.typeArticles in periodicals and booksen_GB
JRC Directorate:Space, Security and Migration

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