TY - JOUR
T1 - Classification and Moral Evaluation of Uncertainties in Engineering Modeling
AU - Murphy, Colleen
AU - Gardoni, Paolo
AU - Harris, Jr., Charles E.
N1 - Funding Information:
Acknowledgments A draft of this paper was presented at the conference on ethics and modeling at the Delft University of Technology in Delft, The Netherlands, January 11–12, 2010. The authors are grateful for the very helpful comments they received. This research was partially supported by the Science, Technology, and Society Program of the National Science Foundation Grant (STS 0926025). Opinions and findings presented are those of the authors and do not necessarily reflect the views of the sponsor.
PY - 2011/9
Y1 - 2011/9
N2 - Engineers must deal with risks and uncertainties as a part of their professional work and, in particular, uncertainties are inherent to engineering models. Models play a central role in engineering. Models often represent an abstract and idealized version of the mathematical properties of a target. Using models, engineers can investigate and acquire understanding of how an object or phenomenon will perform under specified conditions. This paper defines the different stages of the modeling process in engineering, classifies the various sources of uncertainty that arise in each stage, and discusses the categories into which these uncertainties fall. The paper then considers the way uncertainty and modeling are approached in science and the criteria for evaluating scientific hypotheses, in order to highlight the very different criteria appropriate for the development of models and the treatment of the inherent uncertainties in engineering. Finally, the paper puts forward nine guidelines for the treatment of uncertainty in engineering modeling.
AB - Engineers must deal with risks and uncertainties as a part of their professional work and, in particular, uncertainties are inherent to engineering models. Models play a central role in engineering. Models often represent an abstract and idealized version of the mathematical properties of a target. Using models, engineers can investigate and acquire understanding of how an object or phenomenon will perform under specified conditions. This paper defines the different stages of the modeling process in engineering, classifies the various sources of uncertainty that arise in each stage, and discusses the categories into which these uncertainties fall. The paper then considers the way uncertainty and modeling are approached in science and the criteria for evaluating scientific hypotheses, in order to highlight the very different criteria appropriate for the development of models and the treatment of the inherent uncertainties in engineering. Finally, the paper puts forward nine guidelines for the treatment of uncertainty in engineering modeling.
KW - Engineering
KW - Modeling
KW - Risk
KW - Science
KW - Uncertainty
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U2 - 10.1007/s11948-010-9242-2
DO - 10.1007/s11948-010-9242-2
M3 - Article
C2 - 21042952
AN - SCOPUS:80053313888
SN - 1353-3452
VL - 17
SP - 553
EP - 570
JO - Science and Engineering Ethics
JF - Science and Engineering Ethics
IS - 3
ER -