Sensitivity analysis is a method used in various fields, such as economics, engineering, and environmental science, to assess the robustness of a model or system to changes in input variables. It involves systematically varying the values of key parameters in a model and observing how the output is affected in order to identify the most important factors driving the results. Sensitivity analysis helps researchers to understand the uncertainties and assumptions present in their models, and it can also be used to prioritize further research or focus resources on the most influential factors. There are many different techniques for conducting sensitivity analysis, ranging from simple one-way analyses to more complex multi-dimensional approaches. Overall, sensitivity analysis is a powerful tool for examining the reliability and accuracy of models and making more informed decisions based on the potential impact of different variables.