In cases where quantitative results are needed, optimality criteria will likely involve a mathematical summary of information or prediction uncertainty. The computations required to carry out such optimization searches are typically quite demanding, making the discussion in Chapter 4 on emulation and reduced-order models relevant here. Also, even when qualitative information is desired, it is often obtained through a quantitative analysis. This was the case in the case study presented in Section 6.5, in which quantitative information about ground surface subsistence was used to produce qualitative information regarding the prediction uncertainty for the QOI.
Finding: High-consequence decisions have been and continue to be informed by UQ assessments.
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