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Sensitivity Analysis: A Practical Guide to Teaching
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DOI：10.1111/risa.70242.png)
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Abstract
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Sensitivity analysis is the process of attributing the variability of model outputs to uncertainties in input parameters and assumptions. Why is this technique important? Which methods and concepts should be prioritized in teaching it? And what instructional strategies are best suited to different audiences? This work seeks to address these questions by drawing on the experience gained from 12 summer schools conducted by the authors since 1999, along with numerous specialized training courses delivered to academia, research organizations, and international institutions. We aim to distill these experiences into practical guidance for teaching sensitivity analysis, offering both methodological foundations and pedagogical strategies to support educators and future practitioners.
Keywords:
global sensitivity analysis
model-based decision making
pedagogical framework
quantitative modeling education
risk assessment
risk analysis
uncertainty quantification
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