Lunch & Learn: Managing Disruption in Media & Entertainment
by
Tue, Nov 11, 2025
12 PM – 1 PM EST (GMT-5)
Private Location (register to display)
Registration
Speakers
Michael Smith
J. Erik Jonsson Professor of Information Technology and Public Policy
Heinz College, Carnegie Mellon University
https://www.linkedin.com/in/msmith17/
Michael D. Smith is the J. Erik Jonsson Professor of Information Technology and Public Policy at Carnegie Mellon University's Heinz College where he co-directs the Initiative for Digital Entertainment Analytics and the Initiative for Teaching & Education Analytics. His research focuses on the economic impact of new technologies, specifically the impact of digital piracy and anti-piracy measures on the entertainment industry, and the impact of new digital technologies on the education industry.
He has published and discussed his piracy research in a variety of outlets including book chapters and articles for the World Trade Organization, the U.S. Patent and Trademark Office, and the World Intellectual Property Organization, and testimony before the U.S. Senate Judiciary Committee.
He has published his analysis of the market for education in the book The Abundant University: Remaking Higher Education for a Digital World, which received the 2024 Frandson Award for Literature, was named by Forbes as one of the “Best Higher Education Books” of 2023, and received the 2025 MIT Press Alumni Author Award.
Professor Smith received a Bachelor of Science in Electrical Engineering (summa cum laude) and a Master of Science in Telecommunications Science from the University of Maryland, and a Ph.D. in Management Science from MIT’s Sloan School of Management.
Prior to receiving his Ph.D., Professor Smith worked extensively in the telecommunications and information systems industries, first with GTE in their laboratories, telecommunications, and satellite business units and subsequently with Booz Allen and Hamilton as a member of their telecommunications client service team. While with GTE, Professor Smith was awarded a patent for research applying fuzzy logic and artificial intelligence techniques to the design and operation of telecommunications networks.