Christopher S. Yoo is the John H. Chestnut Professor of Law, Communication, and Computer & Information Science and the Founding Director of the Center for Technology, Innovation and Competition at the University of Pennsylvania. He is the author of five books and over one hundred scholarly articles and has taught at over a dozen universities around the world. His major research projects include comparing due process in antitrust enforcement practices in China, Europe, and the U.S.; analyzing these jurisdictions’ responses to big data; assessing antitrust liability for high-tech platforms; and analyzing the technical determinants of optimal interoperability. He has also created innovative joint degree programs designed to produce a new generation of professionals with advanced training in both law and engineering. Professor Yoo received his A.B. from Harvard University, his M.B.A. from UCLA, and his J.D. from Northwestern University. Before entering the academy, Professor Yoo clerked for Justice Anthony M. Kennedy of the Supreme Court of the United States and practiced law with the predecessor firm to Hogan Lovells under the supervision of now-Chief Justice John G. Roberts, Jr. He is frequently called to testify before the U.S. Congress, U.S. Federal Trade Commission, U.S. Justice Department Antitrust Division, U.S. Federal Communications Commission, foreign governments, and international organizations. He is currently serving as a member of the Federal Communication Commission’s Broadband Deployment Advisory Committee, the Board of Advisers for the American Law Institute’s Project on Principles of Law for Data Privacy, and the joint European Law Institute-American Law Institute project on Principles for a Data Economy.
- 5:00 pm - 7:45 pm
Competition Law and 'Big Data': What Does It Mean for Data to Be 'Big'?Free Public Lecture
Professor Christopher Yoo, a world authority on the intersection of law and technology, will deliver a keynote address on the question: “Competition Law and Big Data: What does it mean for data to be ‘big’”. The address will be followed by a discu...
- 5:00 pm - 7:45 pm