Research programme

Reliability and Uncertainty

Sensitivity, calibration, robustness, and decision-making when model inputs or operating conditions are uncertain.

Reliability is a cross-cutting programme rather than a single application area. It includes numerical verification, parameter sensitivity, disruption experiments, forecast diagnostics, and explicit model limitations.

The editorial standard is simple: report error metrics together, distinguish robustness checks from external validation, and keep synthetic evidence labeled.

Related projects

Browse projects in this programme.