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Sensitivity analysis: A discipline coming of age

Andrea Saltelli, Anthony J. Jakeman, Saman Razavi, Qiongli Wu

2021Environmental Modelling & Software84 citationsDOIOpen Access PDF

Abstract

Sensitivity analysis (SA) as a ‘formal’ and ‘standard’ component of scientific development and policy support is relatively young. Many researchers and practitioners from a wide range of disciplines have contributed to SA over the last three decades, and the SAMO (sensitivity analysis of model output) conferences, since 1995, have been the primary driver of breeding a community culture in this heterogeneous population. Now, SA is evolving into a mature and independent field of science, indeed a discipline with emerging applications extending well into new areas such as data science and machine learning. At this growth stage, the present editorial leads a special issue consisting of one Position Paper on “The future of sensitivity analysis” and 11 research papers on “Sensitivity analysis for environmental modelling” published in Environmental Modelling & Software in 2020–21.

Topics & Concepts

Sensitivity (control systems)EngineeringElectronic engineeringExplainable Artificial Intelligence (XAI)Gaussian Processes and Bayesian InferenceMachine Learning and Data Classification