Using evolutionary dynamics and game theory to understand personal relations
MIT biophysicists apply mathematics from evolutionary biology to describe a surprising aspect of human behavior.
Using data from social networks to understand and improve systems
Researchers in IDSS are learning how ideas evolve over networks, quantifying the influence of individuals in networks, and making better predictions.
Computer science meets economics
Constantinos Daskalakis adapts techniques from theoretical computer science to game theory.
Asuman Ozdaglar appointed to Keithley Professorship
Professor of electrical engineering and computer science has been appointed to the Joseph F. and Nancy P. Keithley Professorship in Electrical Engineering.
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.