An RSI Understanding Risk method
Model calibration and validation
Model calibration and validation is one of the methods used by Risk Sciences International to better understand risk.
Broadly
Model calibration adjusts model parameters to fit observed data, while validation assesses how well the model performs in predicting real-world outcomes. Both are essential for credible and useful risk modeling. Calibration improves internal consistency, and validation builds external confidence. The process requires sufficient empirical data and disciplined statistical methods.
More specifically
RSI applies calibration and validation techniques in its exposure models, public health forecasting tools, and environmental simulations. It uses historical datasets, expert benchmarks, and cross-validation to test performance. RSI balances precision with interpretability, ensuring clients understand both what models predict and how well those predictions reflect reality.