Sensitivity analysis is one of the methods used by Risk Sciences International to better understand risk.
Broadly
Sensitivity analysis evaluates how changes in input parameters affect the output of a model. It identifies which variables most influence outcomes and where uncertainty or error might have the greatest impact. This method strengthens model robustness and informs data collection priorities. Techniques range from one-at-a-time variation to global sensitivity approaches. Challenges include computational load and interpreting interactions.
More specifically
RSI integrates sensitivity analysis into its risk modeling workflows to ensure clarity and credibility. The firm documents key drivers of uncertainty and supports clients in understanding the practical implications. RSI uses sensitivity results to improve communication with stakeholders and to direct future research or surveillance efforts.