TEIS 2024 Program
The presentation schedule is in Pacific Standard Time (PST). Paper presentations will be held in Grand Pacific Ballroom Salon E and F at Seattle Marriott Waterfront.
| Friday May 10 |
| 1:00-1:30pm | Welcome remark: Hemant Bhargava (University of California Davis), Ming Fan (University of Washington), Yong Tan (University of Washington), Mingwen Yang (University of Washington), Xingyue (Luna) Zhang (University of Washington Tacoma) | |
| 1:30-2:30pm | Juan Feng (Tsinghua University) -- Does AI Make People More Open or Reinforce Bias?---AI recommendation and Confirmation Bias | Discussant: Yingda Zhai (National University of Singapore) |
| 2:30-3:30pm | Lizhen Xu (Georgia Tech) -- Black-hat or White-hat: Gaming of Recommendation Algorithms under Consumer Awareness and Strategic Reactions | Discussant: Shai Vardi (Purdue University) |
| 3:30-4:00pm | Coffee break | |
| 4:00-5:00pm | Andrei Hagiu (Boston University) -- The Emergence of a Platform Trap | Discussant: Yifan Dou (Fudan University) |
| 5:00-5:30pm | What next for TEIS? |
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| 6:00-9:00pm | Reception and Dinner at Anthony's 2201 Alaskan Wy, Seattle, WA 98121 |
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| Saturday May 11 |
| 7:30-8:30am | Breakfast buffet | |
| 8:30-9:30am | Amanda Wang (The Hong Kong Polytechnic University) -- Platform Badging and Producer Quality Validation | Discussant: Amit Mehra (UT Dallas) |
| 9:30-10:30am | Jianqing Chen (UT Dallas) -- Economics of Password Sharing | Discussant: Min Chen (George Mason University) |
| 10:30-11am | Coffee break | |
| 11am-12pm | Shiva Shekhar (Tilburg University) -- The Bright Side of the GDPR: Welfare-Improving Privacy Management | Discussant: Antino Kim (Indiana University) |
| 12-1:30pm | Lunch buffet | |
| 1:30-2:30pm | Ram Chellappa (Emory University) -- Personalization and Privacy: Permission based Information Acquisition in Mobile Apps | Discussant: Ian Ho (Tulane University) |
| 2:30-3:30pm | Jan Kraemer (University of Passau) -- Interoperability in Digital Markets: Boon or Bane for Market Contestability? | Discussant: James Zhang (UT Dallas) |
| 3:30-4:00pm | Coffee break | |
| 4:00-5:00pm | Zhe Zhang (UC San Diego) -- Strategic Contestants, Over-Fitting, and the Role of Data Splits in Data Science Contests | Discussant: Hanna Halaburda (New York University) |
| 5:00-5:30pm | Short papers Kitty Wang (University of Houston) -- If Platforms Are Exploiting Producers, Is Platform Competition the Solution? Seth Benzell (Chapman University) -- Blitzscaling, Enshittificaiton and the Time Endurance of Network Effects Wei Chen (University of Connecticut) -- The Economics of AI Foundation Models: Transparency, Competition, and Governance |
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Each long paper has one hour, including the presentation, Q&A, and the discussion. Ideally, we expect 40 minutes for the presentation, followed by 8 minutes for the discussant, and the remaining 12 minutes for Q&A.
Each short paper has 10 minutes including Q&A.