Engineering systems are complex by definition. Information about these systems must therefore be pooled from multiple technical experts. Understanding the social dynamics underlying multi-stakeholder decisions by committees of experts is therefore crucial to the nascent field of Engineering Systems. This research argues for the importance of the study of committee decision-making to the field of Engineering Systems, and provides a computational, quantitative approach for these analyses