CORDIS Project
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This project combines machine learning with market design to create automated mechanisms that improve market efficiency and fairness. It focuses on developing mechanisms for complex environments like spectrum auctions and school choice matching, addressing challenges posed by incomplete preferences.
Market designers study how to set the "rules of a marketplace" such that the market works well.
However, markets are getting increasingly complex such that designing good market mechanisms "by hand" is often infeasible, in particular when certain design desiderata (such as efficiency, strategyproofness, or fairness) are in conflict with each other.
Moreover, human agents are boundedly-rational: already in small domains, they are best modeled as having incomplete preferences, because they may onl…
UNIVERSITAT ZURICH
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