With uncertainty analysis, one can characterize sustainability indicators, identify the drivers of system sustainability, and set targets for future research and development. To To identify the drivers of system sustainability, values of key sustainability indicators (e.g., MSP) can be attributed across different sources (e.g., equipment, material, labor) based on their contributions (Figure ). Given that sources with the largest contributions exert the most influence toward indicator values, they may be prioritized in RD&D to advance system sustainability. For example, because feedstock costs can account for roughly half (or more) of the MSP of algal biofuels, strategies to reduce the production cost of algae (e.g., development of high-productivity strains) should be prioritized. Finally, uncertainty analysis can also be conducted to set targets for parameter values, which are particularly relevant to early-stage technologies (Figure ). This can be achieved by and could deviate from the typical range shown here.