Science and engineering require reliable predictions. However, uncertainties affect every model and arise in every step of the computational process (model selection, parameter tuning, discretization and solver errors, likelihood of scenarios). In addition to this, reliability relates to accuracy, which frequently demands for computational time and resources. This motivates the interest for two synergic thrusts: …