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Sensitivity Analysis: A Practical Guide to Teaching.

Stefano Tarantola1, Ivana Aleksovska1, Mariia Kozlova2

  • 1European Commission, Joint Research Centre, Ispra, Italy.

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|April 15, 2026
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Summary
This summary is machine-generated.

This study provides practical guidance for teaching sensitivity analysis, a key technique for understanding model uncertainty. It details effective methods and instructional strategies for diverse audiences based on extensive teaching experience.

Keywords:
global sensitivity analysismodel‐based decision makingpedagogical frameworkquantitative modeling educationrisk analysisrisk assessmentuncertainty quantification

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Area of Science:

  • Environmental modeling
  • Risk assessment
  • Computational science

Background:

  • Sensitivity analysis is crucial for understanding how input uncertainties affect model outputs.
  • Effective teaching of sensitivity analysis is vital for researchers and practitioners.
  • Previous pedagogical approaches lack comprehensive guidance for diverse learners.

Purpose of the Study:

  • To provide practical guidance for teaching sensitivity analysis.
  • To identify key methods, concepts, and instructional strategies for effective sensitivity analysis education.
  • To support educators and future practitioners in mastering sensitivity analysis.

Main Methods:

  • Drawing on 12 years of experience from summer schools on sensitivity analysis.
  • Incorporating insights from specialized training courses for academia and international institutions.
  • Synthesizing practical experience into methodological foundations and pedagogical strategies.

Main Results:

  • Identified core concepts and methods essential for teaching sensitivity analysis.
  • Developed effective pedagogical strategies tailored to different learner audiences.
  • Compiled a comprehensive guide for educators based on extensive practical experience.

Conclusions:

  • Effective teaching of sensitivity analysis requires a blend of methodological rigor and tailored pedagogical approaches.
  • The guidance provided aims to enhance the understanding and application of sensitivity analysis across various scientific disciplines.
  • This work serves as a valuable resource for improving sensitivity analysis education and practice.