Computer science tackles 30-year-old economics problem
MIT researchers generalize Nobel winner’s work on single-item auctions to auctions involving multiple items.
Game theory, in the real world
MIT economist Parag Pathak engineers practical solutions to complicated education problems.
Streamlined rules for robots
New algorithms make it easier to write rules for distributed-computing systems, such as networks of sensors, servers or robots.
Dueling algorithms
If software companies design their algorithms with the sole intention of outperforming each other, the customer can be the loser.
How wise are crowds?
By melding economics and engineering, researchers show that as social networks get larger, they usually get better at sorting fact from fiction.
What computer science can teach economics
Constantinos Daskalakis applies the theory of computational complexity to game theory, with consequences in a range of disciplines.