Network Economics Group Members

Faculty


Federico Echenique works in game theory, microeconomic theory, and mathematical economics. He works on two-sided matching models, focusing on algorithmic implementations of centralized matching market mechanisms. He also studies the empirical content of economic theories, among other things trying to understand the additional observable consequences of imposing complexity constraints on existing behavioral theories.


John Ledyard
works in economic and game theory and mechanism design and dynamics. His applied work includes electricity markets and policy (integrating economics and control), management of fisheries (market design for catch share programs), and public management (space exploration).



Katrina Ligett's research is centered in algorithms, particularly online algorithms, algorithmic game theory, and data privacy. Her work in game theory explores the implications for complex systems of applying simple modeling and learning assumptions on the rational agents participating in the systems. Her data privacy work seeks to provide a mathematical framework for understanding the fundamental tensions and tradeoffs involved in the use of databases of sensitive information.


Omer Tamuz studies social learning and dynamics on networks. He explores how groups of people share and aggregate information in various settings, and the impact of the geometry of their social networks on these processes.






Adam Wierman's research interests center around resource allocation and scheduling decisions in computer systems and services. More specifically, his work focuses both on developing analytic techniques in stochastic modeling, queueing theory,scheduling theory, and game theory, and applying these techniques to application domains such as energy-efficient computing, data centers, social networks, and the electricity grid.





Leeat Yariv
works in Collective Choice, Analysis of Communication, Social Networks, Mechanism Design and Experimental Economics.






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