Algorithmic game theory is the intersection of computer science and economics. Roughly, it explores how economic mechanisms - such as voting systems, auctions, or network infrastructure - actually work, especially on a large scale, and how to design these systems to maximise given outcomes. For example, it’s actually computationally nearly impossible for an average consumer to “maximise their utility” because it’s so difficult to calculate which combination of goods and services gives the best outcomes. But you can use approximation algorithms to get fairly close, and research is being done to improve those approximations.

You can study algorithmic game theory at most top universities across the US and UK. Particular centres are Stanford, Harvard, Princeton, Cornell and Oxford.