This profile is built from public research funding records (CIHR, NSERC and SSHRC). We have not imported them from a University of Toronto directory, so their publications, courses and email address may be missing. Find their university profile.
Research
Latest funding
- $43,971
Learning and Persuasion in the Shadow of Distrust
SSHRC · 2025 · Principal investigator
- $15,290
Information Structure and Market Performance
SSHRC · 2020 · Principal investigator
- $50,030
Information Structure and Market Performance
SSHRC · 2020 · Principal investigator
Learning and Persuasion in the Shadow of Distrust
Principal investigators: Shi, Xianwen
Keywords: dynamic learning; information design; strategic manipulation; dynamic games
Information Structure and Market Performance
Principal investigators: Shi, Xianwen
Keywords: market information structure; market performance; mechanism design; information design; disclosure; market segmentation; price discrimination; revenue maximization; third-party platform
Information Structure and Market Performance
Principal investigators: Shi, Xianwen
Keywords: market information structure; market performance; mechanism design; information design; disclosure; market segmentation; price discrimination; revenue maximization; third-party platform
Topics in mechanism design: beyond the classical theory
Principal investigators: Shi, Xianwen
Keywords: mechanism design; limited commitment; limited monetary transfers; revelation principle; incentive compatible mechanisms
Bargaining, experimentation, and selection by committee
Principal investigators: Shi, Xianwen
Keywords: bargaining; learning; experimentation; exploding offers; committee decision; search; specialization; interdependent values
Contest design with punishment and entry
Principal investigators: Shi, Xianwen
Keywords: mechanism design; contest; tournament; auctions; procurement
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.