2020 Next Generation of Scholars Course Materials

NEXT GENERATION OF ANTITRUST, DATA PRIVACY AND DATA PROTECTION SCHOLARS

9:00 – 10:45a     

Session 1: Algorithms, Textual Analysis, and Collusion

Presenter:           Felix B. CHANG, University of Cincinnati College of Law, Cincinnati, OH

Paper:                   Algorithmic Antitrust

Presenter:           Benjamin T, LEYDEN, Cornell University SC Johnson College of Business, Ithaca, NY

Paper:                   Coordinated Capacity Reductions and Public Communication in the Airline Industry

Presenter:           Alexander MACKAY, Harvard Business School, Boston, MA

Paper:                   Competition in Pricing Algorithms

11:00a – 1:00p  

Session 2: Competition & Privacy in Digital Markets

Presenter:           Katharine KEMP, University of New South Wales, Sydney

Paper:                   Concealed Data Practices and Competition Law: Why Privacy Matters

Presenter:           Garrett JOHNSON, Boston University, Boston, MA

Paper:                   Online martech after the GDPR

1:45 – 3:15p       

Session 3: Antitrust Policy Issues

Presenter:           John M. NEWMAN, University of Miami School of Law, Miami, FL

Paper:                   Antitrust in Attention Markets

Presenter:          Menesh S. PATEL, University of California Davis School of Law, Davis, CA

Paper:                   Merger Breakups

Presenter:           Alminas ZALDOKAS, Hong Kong University of Science and Technology, Hong Kong

Paper:                   Motivating Collusion

 

3:30 – 5:00p       

Session 4: Digital Privacy

Presenter:          Beibei LI, Carnegie Mellon University, Pittsburgh, PA

Paper:                   Perils of location tracking?  Personalized and Interpretable Privacy Preservation in Consumer Mobile Trajectories

Presenter:           Yafit LEV-ARETZ, City University of New York, New York, NY

Paper:                   Privacy Regulation and Innovation Policy

Presenter:           Priyanka SHARMA, Illinois Institute of Technology, Chicago, IL

Paper:                   Advertising and Voter Data in Asymmetric Political Contests