Theoretical and Computational Advances for Principled Preference Aggregation

Over the last two decades, there has been a growing interest in the aggregation of individual preferences (i.e., rankings, ratings, etc.) into socially desirable choices, helping to propel the new interdisciplinary field of computational social choice. Advancements in this field are said to provide a counterbalance against "black box" decision-making technologies, and they have led to improved outcomes in business, technology, and various other domains. Yet, real-world implementation of the more principled methodologies—in the sense that their outputs guarantee desirable socio-theoretical properties—remains severely limited due to a combination of incompatible assumptions and computational difficulties.

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https://www.ise.ncsu.edu/people/arescobe/