Combining Quantitative and Qualitative Measures of Uncertainty in Model‐Based Environmental Assessment: The NUSAP System
By J. P. van der Sluijs, M. Craye, Silvio Funtowicz, P. Kloprogge, Jerome Ravetz, J. Risbey. 2005
439 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
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In Management Science and Operations Research
- Andrea Saltelli
- C. Spash
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- Francesca Campolongo
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In Statistics and Probability
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Citations in the corpus
- Expert assessment concludes negative emissions scenarios may not deliver (2016, background): “The assumption scores can bemapped onto a pedigree matrix, plotting mean pedigree scores against ‘influence on results’ (van der Sluijs et al 2005) (figure 1).”
- Uncertainty in the environmental modelling process - A framework and guidance (2007, methodology): “The NUSAP system for multidimensional uncertainty assessment (Funtowicz and Ravetz, 1990; Van der Sluijs et al., 2005) aims to provide an analysis and diagnosis of uncertainty in science for policy.”
- Building better science-policy interfaces for international environmental governance: assessing potential within the Intergovernmental Platform for Biodiversity and Ecosystem Services (2012, background): “Following Vatn (2005), we understand institutions to be comprised of the cognitive models, normative structures and behavioural constraints that shape human interactions.”
- Social Ecological Economics: Understanding the Past to See the Future (2011, background): “This may be described as the need for value articulating institutions (Vatn 2005).”
- Application of systematic review methodology to food and feed safety assessments to support decision making. (2010, neutral): “Similar criteria have been used to assess the uncertainty of model assumptions by Van der Sluijs et al. (2005).”
- The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020, positive): “Further attempts to thoroughly capture the quality of the knowledge in a modeling activity include the model pedigree concept (Eker et al., 2018) and the ‘Numeral, Unit, Spread, Assessment and Pedigree ’ (NUSAP) framework (Van Der Sluijs et al., 2005) for knowledge quality assessment.”
- Ten iterative steps in development and evaluation of environmental models (2006, methodology): “Van der Sluijs et al. (2005) show that extending the scheme beyond mainstream technical methods of sensitivity and uncertainty analysis, by complementing it with qualitative approaches, further promotes reflection and collective learning.”
- Evaluating process-based integrated assessment models of climate change mitigation (2017, methodology): “These include checks of computer code and model implementation, as well as peer review or expert appraisal of how models conceptualize and represent the modelled system (38, 39).”
- The role of expert opinion in environmental modelling (2012, methodology): “Van der Sluijs and co-authors, in a series of papers (van 21 der Sluijs, 2002; van der Sluijs et al., 2005; Kloprogge et al., 2009, to name the most relevant 22 for our discussion), developed a method for analysing the value-ladenness of model 23 assumptions on the basis of the NUSAP2 methodology…”
- Risk assessment and risk management: Review of recent advances on their foundation (2016, background): “…and Pedigree) ( Funtowicz & Ravetz, 1990, 1993; Kloprogge, van der Sluijs, & Pe-tersen, 2005, 2011; Laes, Meskens, & van der Sluijs, 2011; van der Sluijs et al., 2005a, 2005b ), originally designed for the purpose of analysis and diagnosis of uncertainty in science for policy by performing a…”
- Introduction to Sensitivity Analysis (2008, methodology): “It takes inspiration from NUSAP, a method used to qualify the worth of quantitative information with the generation of “pedigrees” of numbers [17, 69].”