[1] Kai Sun, Mingwen Yang, Vijay Mookerjee. “Tipping the Equilibrium: The Quality, Fairness Conundrum of Pre-Service Tipping.” Under Revision.
* Runner-up, INFORMS Annual Meeting e-Business Section Best Paper Award, 2021
[2] Kai Sun, Mingwen Yang, Vijay Mookerjee. “Curbing Anarchy in Social Trading Platforms.” Under Revision.
* Finalist, INFORMS Finance Section Best Student Paper Competition, 2023
[3] Kai Sun, Wangsheng Zhu, Vijay Mookerjee. “Using Optimization to Augment Structural Estimation: A Reinforcement Learning Approach.” In Preparation for Journal Submission.
* Finalist, CIST Best Paper Award, 2024
* Winner, INFORMS Annual Meeting e-Business Section Best Paper Award, 2024
“Technological, Operational, and AI-Enhanced Platform Design.” Nominated for the WITS 2024 Best Dissertation Proposal Award, Bangkok, Thailand, Dec 2024 (Scheduled).
“Using Optimization to Augment Structural Estimation: A Reinforcement Learning Approach.” The 34th Workshop on Information Technologies and Systems (WITS 2024), Bangkok, Thailand, Dec 2024 (Scheduled).
“Using Optimization to Augment Structural Estimation: A Reinforcement Learning Approach.” The INFORMS Workshop on Data Science 2024, Seattle, WA, October 2024.
“Using Optimization to Augment Structural Estimation: A Reinforcement Learning Approach.” Conference on Information Systems and Technology (CIST) 2024, Seattle, WA, October 2024.
* Finalist, CIST Best Paper Award, 2024
“Using Optimization to Augment Structural Estimation: A Reinforcement Learning Approach.” The INFORMS Annual Meeting 2024, Seattle, WA, October 2024.
* Winner, INFORMS Annual Meeting e-Business Section Best Paper Award, 2024
“Curbing Anarchy in Copy-trading Platforms.” The Doctoral Consortium at BU Platform Strategy Research Symposium 2024, Boston, MA, July 2024.
“Designing Optimal Incentives to Mitigate Trader Bias in Social Trading.” The 34th Annual POMS Conference, Minneapolis, MN, April 2024.
“Economic Analysis of Tipping Policies in Online Marketplaces.” The 34th Annual POMS Conference, Minneapolis, MN, April 2024.
“Using Reinforcement Learning for Model Discovery.” Biz AI Conference: AI Applications in Business Research, Dallas, TX, Mar 2024.
“The Merton Model Re-visited: Design of Optimal Incentives for Traders in Copy Trading.” The INFORMS Annual Meeting 2023, Phoenix, AZ, October 2023.
* Finalist, INFORMS Finance Section Best Student Paper Competition, 2023
“Uncovering Trader Biases in Copy Trading: Design of Optimal Incentives for Traders.” Conference on Information Systems and Technology (CIST) 2023, Phoenix, AZ, October 2023.
“Economic Analysis of Tipping Policies in Online Marketplaces.” The 16th China Summer Workshop on Information Management (CSWIM), Changsha, China, June 2023.
“The Copy Trader’s Dilemma: Chase Returns or Followers?” The 16th China Summer Workshop on Information Management (CSWIM), Changsha, China, June 2023.
“Economic Analysis of Tipping Policies in Online Marketplaces.” The 19th Annual Big XII+ MIS Research Symposium, Richardson, TX, March 2023.
“The Merton Model Re-visited: Design of Optimal Incentives for Traders in Copy Trading.” The INFORMS Annual Meeting 2022, Indianapolis, IN, October 2022.
“Economic Analysis of Tipping Policies in Online Marketplaces.” Conference on Information Systems and Technology (CIST) 2022, Indianapolis, IN, October 2022.
“Design of Optimal Incentives for Traders in Copy Trading.” The 32nd Annual POMS-Conference, ONLINE, April 2022.
“Economic Analysis of Tipping Policies in Online Marketplaces.” The INFORMS Annual Meeting 2021, Anaheim, CA, October 2021.
* Runner-up, INFORMS Annual Meeting e-Business Section Best Paper Award, 2021