Stage II. Uncertainty and sensitivity analyses. The discrete decision analysis above can help identify the best performing designs and exclude unimpactful variables from subsequent analyses. While the previous analysis covered a broad design landscape, a more sophisticated variation of important continuous decision variables and technological uncertainties need to be incorporated in a rigorous uncertainty and sensitivity analysis to better inform decision making in the R&D of the encapsulated anaerobic biological technology. Therefore, we identified 18 independent parameters with uncertainty, including select decision variables that were found to be key drivers of system sustainability (e.g., HRT) in Stage I analysis, 6 ADM1 kinetic parameters with significant impact on COD removal, and a series of configuration-specific parameters characterizing the technological uncertainty (e.g., maximum encapsulation density, bead lifetime).