One application of sensitivity analysis addresses the question of "What's important to model or system development?"
One can seek to identify important connections between observations, model inputs, and predictions or forecasts.
[1][2] In biomedical engineering, sensitivity analysis can be used to determine system dynamics in ODE-based kinetic models.
[3] Additionally, complex networks in systems biology can be better understood through fitting mass-action kinetic models.
Sensitivity analysis on rate coefficients can then be conducted to determine optimal therapeutic targets within the system of interest.