Year: 2024
Type: article
Abstract: The last half a century has seen spectacular progresses in computing and modelling in a variety of fields, applications, and methodologies. Over the same period, a cross-disciplinary field known as sensitivity analysis has been making its first steps, evolving from the design of experiments for laboratory or field studies, also called ‘in-vivo’, to the so-called experiments ‘in-silico’. Some disciplines were quick to realize the importance of sensitivity analysis, whereas others are still lagging behind. Major tensions within the evolution of this discipline arise from the interplay between local vs global perspectives in the analysis as well as the juxtaposition of the mathematical complexification and the desire for practical applicability. In this work, we retrace these main steps with some attention to the methods and through a bibliometric survey to assess the accomplishments of sensitivity analysis and to identify the potential for its future advancement with a focus on relevant disciplines, such as the environmental field.
Institutions: Joint Research Centre, University of Reading, Lappeenranta-Lahti University of Technology, University of Florence, University of Birmingham, Quansight (United States), National Research Council, Institute of Cognitive Sciences and Technologies, Gdańsk University of Technology, Universitat Pompeu Fabra, UPF Barcelona School of Management, University of Bergen
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,400
OpenAlex ID: W4391809146