Title: Making Tough Decisions: Interacting with Stakeholders to Advance Many Objective Decision Support Abstract: In recent years, there has been an increasing number of calls for improved decision support to aid in responding to climate change, extreme events, and population growth. For example, in water management, the observance of changing extremes (floods, droughts) has required modifications of management strategies and, in some cases, the construction of new infrastructure. Another example is decision making for new and existing buildings on how to respond to multiple natural hazards while considering sustainability. While Multiobjective Evolutionary Algorithms (MOEAs) have shown promise in research applications, they have only been recently employed to assist decision making for large public sector systems. Of particular interest is the problem formulation: objectives that measure performance; management options that decision makers can change; constraints that represent acceptable limits for performance; and selection of an appropriate simulation model to represent the water infrastructure system. Key questions include how to co-produce problem formulations in collaboration with stakeholders, as well as how the problem formulations impact MOEAs' ability to efficiently and reliably solve problems. This presentation will give some examples of how to create problem formulations for MOEA-based decision support to aid real-world decision making in multiple problem domains. Results for multi-reservoir regional planning for the Tarrant Regional Water District in Texas demonstrate how evolving problem formulations can help managers gain better insights into the operation of their system and potentially increase the efficiency of providing water given hydrologic uncertainty. I will also discuss new research within our group that seeks to co-produce a multi-objective test bed to aid water management in Colorado's Front Range, being performed in concert with researchers at CU's Western Water Assessment.