Awards
Best Reviewers
Kai-Lung Hui, Hong Kong University of Science and Technology
Debra Vander Meer, Florida International University
Keran Zhao, University of Illinois at Chicago
Best dissertation
Pan Li, New York University
For thesis entitled Multi-Faceted Consumer Preferences: Incorporating Unexpectedness and Cross-Domain Information into Design of Recommender System
Best dissertation runner up
Xiang (Shawn) Wan, University of Florida
For thesis entitled The Economic Value of Algorithmic Product Recommendation Systems
Best student paper
Jujun Huang, Stevens Institute of Technology
Rong Liu, Stevens Institute of Technology
For paper entitled Leverage Disclosure Change Trajectories to Detect Financial Frauds
Best student paper runner up
Pan Li, New York University
Alexander Tuzhilin, New York University
For paper entitled Exploring Consumer Trajectories in Recommender System: A Deep Reinforcement Learning Approach
Best paper
Jiaheng Xie, University of Delaware
Yidong Chai, Hefei University of Technology
Xiao Liu, Arizona State University
For paper entitled An Interpretable Deep Learning Approach to Understand Health Misinformation Transmission on YouTube
Best paper runner up
Maria De-Arteaga, University of Texas at Austin
Artur Dubrawski, Carnegie Mellon University
Alexandra Chouldechova, Carnegie Mellon University
For paper entitled Leveraging Expert Consistency to Improve Algorithmic Decision Support
Design science award winners
Team 1
Alok Gupta, University of Minnesota
Wolfgang Ketter, University of Cologne and Erasmus University Rotterdam
Yixin Lu, George Washington University
Eric van Heck, Erasmus University Rotterdam
For work entitled Designing Next Generation High-Speed Auction Markets (Next-ACT)
Team 2
Soumya Sen, University of Minnesota
Pinar Karaca-Mandic, University of Minnesota
Archelle Georgiou, Starkey Technologies
Yi Zhu, University of Minnesota
For work entitled An Information System for COVID-19 Hospitalization Tracking and Analysis