Traditional pay TV is beginning to lose subscribers. Wall Street analyst Craig Moffett called this past year pay TV’s “worst 12 month stretch ever.” At the same time, over-the-top providers, primarily Netflix, are growing quickly. Yet, not all analysts believe Netflix has the winning business model. New business models and threats to old business models dovetail with various efforts at policy reform in Washington, including debates over usage-based billing, Internet “signal importation,” and a la carte choices rather than bundles of channels. This conference will discuss these and other issues facing the video market.
All Publications
Claim that Anonymization is Impossible Unsupported
The assertion in a recent petition by public interest groups that it is impossible to anonymize data does not stand up to scrutiny, states Technology Policy Institute President Thomas Lenard in comments filed with the Federal Communications Commission. The agency should not base any decisions on this faulty analysis, which could have broader implications beyond sharing of customer proprietary network information (CPNI).
Event – The Big Data Revolution: Privacy Considerations
The Information Technology revolution has produced a data revolution-now commonly referred to as “big data”-in which massive amounts of data can be collected, stored and analyzed at relatively low cost. While the benefits of big data are numerous, from tracking health risks to helping consumers find the lowest prices on goods and services, the emergence of big data has also raised privacy concerns on the part of advocates and government officials. To alleviate these concerns, some are calling for remedies to either restrict or make more transparent how data are collected and used. Speakers at the event will discuss the big data revolution, proposed remedies for privacy concerns and their potential effects, including the findings in the recent paper, “The Big Data Revolution: Privacy Considerations,” authored by TPI’s Thomas Lenard and Paul Rubin.
No Evidence of Privacy Harms from “Big Data”
There is no evidence that the use of “big data” for commercial and other non-surveillance purposes has caused privacy harms according to a new paper, “The Big Data Revolution: Privacy Considerations,” by Technology Policy Institute’s Thomas Lenard and Paul Rubin. Moreover, the familiar remedies embodied in the Fair Information Privacy Practices (FIPPs) are ill-suited to the world of big data and are potentially a serious barrier to much of the innovation we hope to see from the big data revolution.
Stress Cooperation, Not Competition, to Combat “Emporiophobia”
Economists “have committed a fundamental semantic error” by focusing on the term competition and ignoring the cooperative nature of markets, explained TPI senior fellow Paul Rubin in his Presidential Address to the Southern Economic Association this past weekend. By correctly emphasizing cooperation, economists could help combat the “emporiophobia,” or the fear of markets that is prevalent in the general public and current political discourse.