Abstract

The trading of information constitutes an increasingly important business in modern economies. The rapid spread of Internet in the past few decades has provided easy accesses to a large volume of online data, which stimulated the dynamically-growing markets for information. Information is being sold under a large variety of forms: newspapers and magazines, consulting services, database access, industry reports and credit reports, etc. The nature of information product varies greatly from the traditional commodity products. A lot of effort has been made to understand the optimal strategy of selling information. In this talk, I'll introduce some recent work that studies the optimal selling strategy for a monopolist information seller.

Biography

Shuran Zheng is a third-year Ph.D. student in Computer Science at Harvard University, advised by Yiling Chen in the EconCS group. Shuran studies Economics and Computation. Her research uses methods from Mechanism Design, Algorithm Design, and Machine Learning. Her recent research mostly focuses on markets for data and information. Before coming to Harvard, Shuran received her bachelor's degree in Computer Science from Yao class at Tsinghua University.

Admission: https://www.wjx.cn/m/86342786.aspx
Online Talk: https://zoom.com.cn/j/96524145644