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Assessment is a summary of salient qualitative judgements about the information - this can be of statistical nature (a significance level) or more general, e.g. involving terms such as 'conservative' or 'optimistic'. If the number is model-generated
Assessment may include an estimate of the quality
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Ides Boone, Yves Van der Stede, Jeroen Dewulf, Winy
Messens, Marc Aerts, Georges Daube and Koen Mintiens, 2010, NUSAP: a method to evaluate the quality of assumptions in quantitative microbial risk assessment, Journal of Risk Research, 13(3),
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The pedigree can be expressed by means of a matrix; the columns represent the various phases of production or use of the information, and each column contains marks to rank the performance. Marks can be numerical as well as qualitative, see an example
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Van Der Sluijs, J.P., Wardekker, J.A., 2015, Critical appraisal of assumptions in chains of model calculations used to project local climate impacts for adaptation decision support - The case of Baakse Beek, Environmental
Research Letters, 10(4),
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van der Sluijs, J., Craye, M., Funtowicz, S., Kloprogge, P., Ravetz, J., and Risbey, J. (2005) Combining
Quantitative and Qualitative Measures of Uncertainty in Model based Environmental Assessment: the NUSAP System, Risk Analysis, 25 (2). p.
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is a notational system for the management and communication of uncertainty in science for policy, based on five categories for characterizing any quantitative statement: Numeral, Unit, Spread, Assessment and
Pedigree. NUSAP was introduced by
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Funtowicz, S.O. and Jerome R. Ravetz (1991). "A New
Scientific Methodology for Global Environmental Issues." In Ecological Economics: The Science and Management of Sustainability. Ed. Robert Costanza. New York: Columbia University Press:
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NUSAP can be considered as a method useful at the science policy interface - when numbers produced by either experiment, survey or mathematical modelling need to be used in the appraisal or the formulation of a policy. See also
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EFSA BIOHAZ Panel (EFSA Panel on
Biological Hazards), 2015. Scientific Opinion on the development of a risk ranking toolbox for the EFSA BIOHAZ Panel. EFSA Journal 2015;13(1):3939, 131 pp. doi:10.2903/j.efsa.2015.3939.
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Zhu, Q., Xu, X., Gao, C., Ran, Q.-H., Xu, Y.-P., 2013, Qualitative and quantitative uncertainties in regional rainfall frequency analysis, Journal of
Zhejiang University: Science A, Volume 16, Issue 3, 2015, Pages
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Funtowicz, S. O., & Ravetz, J. R. 1992. Three types of risk assessment and the emergence of postnormal science. In S. Krimsky & D. Golding (Eds.), Social theories of risk (pp. 251–273). Westport, CT:
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Christine Louise Berner, Roger Flage, 2016, Comparing and integrating the NUSAP notational scheme with an uncertainty based risk perspective, Reliability
Engineering & System Safety, 156, Pages 185–194.
72:. Recent applications of NUSAP are in the field of climate science, hydrology, medical research and risk assessment. Applications relevant to the activities of the European Food Safety Authority
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Kloprogge, P., Van der Sluijs, J.P., Petersen, A.C., 2011, A method for the analysis of assumptions in model-based environmental assessments, Environmental
Modelling and Software, 26(3), 289-301.
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Lorenz, S; Dessai, S; Paavola, J; Forster, P M., 2015, The communication of physical science uncertainty in European National Adaptation Strategies, Climatic Change132.1 (Sep 2015): 143-155.
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Bouwknegt M and Havelaar AH, 2015. Uncertainty assessment using the NUSAP approach: a case study on the EFoNAO tool. EFSA supporting publication 2015: EN-663, 20 pp.
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S. 0. Funtowicz and J.R. Ravetz, 1992, Uncertainty and Quality in Science for Policy, Radical Statistics, 50 (Spring '92), 31-34.
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maintained by Jeroen van der Sluijs, University of Bergen (Norway) and University of Utrecht (the Netherlands).
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Pedigree is an evaluative description of the mode of production and of anticipated use of the information.
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Funtowicz, S. O. & Ravetz, J. R. 1993. Science for the post-normal age. Futures, 25(7), 739–755.
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The name "NUSAP" is an acronym for the categories just mentioned.
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Spread is an assessment of the error in the value of the Numeral;
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An early description of NUSAP is due to Funtowicz and Ravetz.
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NUSAP – philosophical background, by Jerome R. Ravetz
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46:Numeral will usually be an ordinary number;
49:Unit refers to the units used in Numeral;
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