An RSI Understanding Risk method
Structured uncertainty characterization
Structured uncertainty characterization is one of the methods used by Risk Sciences International to better understand risk.
Broadly
Structured uncertainty characterization identifies, categorizes, and communicates the sources and magnitude of uncertainty in risk assessments. This includes variability, knowledge gaps, model assumptions, and measurement error. Techniques include uncertainty matrices, confidence ratings, and probabilistic modeling. It supports better decisions under incomplete information but requires transparency and judgment.
More specifically
RSI incorporates uncertainty characterization into all technical deliverables using consistent frameworks. Whether qualitative or quantitative, RSI’s approach ensures that decision-makers understand what is known, what is estimated, and what remains uncertain. This clarity strengthens the defensibility and utility of RSI’s risk-related findings.