Enrique Miralles Dolz:
Interval-Based Global Sensitivity Analysis for Epistemic Uncertainty

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Epistemic uncertainties are always present at some point in the design process of complex engineering systems and evidence-based policies. Acknowledging these uncertainties and measuring their possible consequences, described with mathematical models, is of uttermost importance to increase the chances of finding a successful system or policy. Sensitivity analysis can help with this task by explaining how the input uncertainty of a mathematical model contributes to its output uncertainty.

Enrique Miralles Dolz joined the Institute for Risk and Uncertainty in 2018 for his doctoral studies, working on uncertainty quantification, sensitivity analysis, and optimisation under uncertainty, primarily in systems under epistemic uncertainty. Before that he studied engineering in Valencia, Spain, and physics at the York Plasma Institute.