From inference to design: A comprehensive framework for uncertainty quantification in engineering with limited information

•A comprehensive framework for engineering design under uncertainty.•Focus on limited and partial information, time series, and black-box models.•Calibration, sensitivity analysis and RBDO performed with mixed uncertainty.•Efficient sampling of complex uncertainty models using sliced normal distributions.•Framework is demonstrated on the 2020 NASA challenge on design under uncertainty.