The interplay of algorithmic, economic, and social systems is now fundamental to a variety of new services and marketplaces, such as data markets, social networks, electricity markets, cloud computing, and even privacy. Research on Algorithmic Economics at Caltech addresses this by bringing together researchers from economics, computer science, engineering, and mathematics in a truly interdisciplinary environment as part of the Center for Social and Information Sciences. The goal of work in this area is to improve the basic sciences of complex markets and social/communication networks while helping develop our understanding of the emerging interaction between the two. Faculty from CMS and Economics are actively engaged on this topic including Marina Agranov (mechanism design and information uncertainty), Steven Low (electricity markets), Eric Mazumdar (learning in strategic settings), Luciano Pomatto (strategic forecasting and evaluation of risk), Omer Tamuz (strategic behavior in networks), and Adam Wierman (networked markets).
