Algorithmic Economics & Operations Research

The interplay of algorithmic, economic, and social systems is now fundamental to a variety of new services and marketplaces, ranging from online ride-hailing platforms to social networks, voting systems, and electricity markets.

The design of such systems requires the consideration of economic desiderata on top of traditional algorithm design goals focusing on computational costs. Algorithmic economics draws on algorithm design, complexity theory, game theory, mathematical optimization, and social choice theory and is closely related to operations research.