SAMO investigates the relative importance of model input parameters on model predictions. Sensitivity Analysis (SA) is usually linked to uncertainty analysis, which aims at characterising the uncertainty on the output as a result of uncertainties on the model inputs. SA techniques can be applied in many areas of knowledge and disciplines where models and computer experiments are present(physics, chemistry, environmental sciences, nuclear and industrial safety, economics). SA can be used for model calibration, verification, identification/ selection, quality-assurance, and in mechanism reduction. This symposium intends to bring together researchers and practitioners from different disciplines involved in theoretical aspects and practical applications of sensitivity analysis, to share the latest developments in the area.
The objective of the Symposium is to bring together people from different disciplines involved in practical and theoretical aspects of sensitivity analysis and to review the state of the art. The symposium is intended as across-fertilisation exercise, bringing together scientific communities active in SAMO and in its fields of application from different disciplines and countries.