Eric Maskin

Mechanism design works backward from a desired outcome to rules that can produce it when participants have private information and strategic incentives. It is often described as the reverse side of game theory, which usually starts with rules and predicts behavior.

Maskin shared the prize with Leonid Hurwicz and Roger Myerson for laying the foundations of mechanism design theory. Hurwicz introduced central concepts, while Maskin and Myerson developed major results about implementation and incentives.

Maskin monotonicity is a condition used to determine whether a social-choice rule can be implemented through a game. In simplified terms, it tests whether an outcome can remain supportable when people's rankings change in ways that do not weaken that outcome.

His methods can be used to analyze auctions, voting systems, regulation, and the allocation of public goods. Each setting involves designing rules that account for participants who may possess hidden information or pursue conflicting goals.