I am honored and excited to carry on the unique work of the Program on Economics & Privacy. PEP is a great match for me because my interest in privacy law grew out of my experience running an economics research program.

The research had nothing to do with privacy, but it used quantitative methods and was very dependent on access to data. I started to notice that the things I found most exciting about the Big Data revolution as an engine for rapidly expanding human knowledge and problem-solving was on a collision course with public distrust and consumer protection regulations. My comfort with, and appreciation for, quantitative methods give me an atypical perspective in the privacy policy community. I have openly questioned whether the most popular privacy proposals have defined the anticipated social problems with enough clarity, and whether there is a sufficient basis for alarm based on the available evidence.

PEP promotes and facilitates both types of academic work– research that defines a personal data problem with precision, and research that measures and analyzes the effects of modern data practices. This is invaluable work because we are entering a critical period for the digital economy and its regulation.

Outside of PEP, many of the policy discussions adopt the standard model for privacy protection, based on some variation of the Fair Information Practices. Those practices are built on outdated assumptions about how information can be collected and used, whereby the anticipated benefits and problems of digitized information are no different from a large warehouse of individual files handled by a very fast clerk. The FIPs are poorly designed when the benefits and problems stem from an entirely different model—where filtering and machine learning can make inferences and perform constrained optimization. Consequently, traditional privacy regulations that attempt to enforce notice and consent have a very crude relationship to the risks of Big Data. The risks that we need to understand are related to the societal effects of constrained optimization—whether the goal of optimization has repercussions that the market is unlikely to correct, for example. The traditional approach to privacy cannot do this work. The traditional approach was designed to resist large scale collection, sharing, and unexpected uses of personal data, yet these are critical elements for the success and social benefits of Big Data. Rapid improvements in service and innovation, for example, require data to be repurposed.

This year, PEP will facilitate economic research on Big Data policy issues through a works-in-progress workshop in December. We will share some of the leading research in this area at a public conference on May 10^th here at the law school. Please mark your calendars. We will also prepare comments for upcoming Federal Trade Commission hearings on privacy and big data.

Please get in touch with me if you have suggestions for issues that PEP should address or research that PEP should promote. I would love to hear from you. My email is jyakowit@gmu.edu.

PEP is excited to pass along a Request for Proposals from the Internet Association for their Internet Economy Research Fellowships. This is ideal for PhD or JD students, dost-docs, or professional researchers. Please click below to read the full announcement.

Continue reading “Request for Proposals – Internet Economy Research Fellowships”

In How Consumers Value Digital Privacy: New Survey Evidence, Program on Economics & Privacy affiliated scholar, Professor Caleb Fuller presents new data that sheds light on the “Privacy Paradox.”

Regardless of how they define it, few people would deny that they’d like more privacy. The rise of the data-driven economy has thrust privacy issues to the fore of the public consciousness and it is unsurprising that the average American citizen, when surveyed, expresses a desire for less privacy-invasive behavior by both private firms and by government. But are they willing to bear the costs associated with additional privacy protection? The case for government intervention in digital markets is made stronger if consumers value privacy highly and if they are highly uninformed.

Based on a random sample of Internet users, Professor Fuller finds:

George Mason University Antonin Scalia Law School
Program on Economics & Privacy

Third Annual Digital Information Policy Scholars Conference

April 27, 2018

Antonin Scalia Law School at George Mason University, Arlington, VA

The Program on Economics & Privacy (PEP) at Antonin Scalia Law School will host a scholars conference on the economics of digital information policy on April 27, 2018. The conference will be open to the public.

The mission of PEP is to promote the sound application of economic analysis to issues surrounding the digital information economy through original research, policy outreach, and education. The annual Digital Information Policy Scholars Conference is intended to further this goal by providing a forum to present original research on this important area of the US economy.

Topics:

Topics of interest include, but are not limited to:

The Program on Economics & Privacy (PEP) at George Mason University Antonin Scalia Law School invites applications for the 2017-18 Privacy Scholars Fellowship Program. The Privacy Scholars Fellowship Program is designed to support research on the economics of privacy and data security. Total honorarium payments of $12,000 per paper will be available to those who complete all stages of the program. The PEP will provide lodging and meals at all events, but participants will be responsible for their own transportation arrangements and expenses.

The Fellowship Program is structured in five stages that are designed to lead to the completion of an original piece of scholarly work suitable for publication.

1. Submission of Research Proposal – Submission Deadline of October 13, 2017: Research proposals should include a statement of issue to be addressed, the proposed methodology, as well as a discussion of the feasibility for completion by Summer 2018. Proposals should be no longer than five pages (not including charts, graphs, or bibliography). The PEP will notify those chosen to present a more fully developed draft at the December roundtable by October 23, 2017. Those authors chosen to present will be provided an honorarium of $3,000 after attending the December roundtable. The selection committee includes: Alessandro Acquisti (Carnegie Mellon), Jane Bambauer (University of Arizona, James E. Rogers College of Law), Michael Baye (Indiana University, Kelley School of Business), James Cooper (George Mason University, Antonin Scalia Law School), Andrew Stivers (Federal Trade Commission), and Catherine Tucker (MIT, Sloan School of Management).

2. Research Roundtable at Antonin Scalia Law School (December 14-15, 2017): Selected authors will present expanded drafts at a research roundtable to be held at Antonin Scalia Law School on December 14-15, 2017. Revised drafts should be no more than 25 pages (excluding charts, graphs, and bibliography), and represent substantial work beyond the proposal (e.g., preliminary statistical results). This research roundtable is a workshop designed to provide authors with constructive feedback from expert academics and practitioners in the field. The PEP will make final decisions on which research it will support with a Privacy Scholars Fellowship by December 18, 2017.

3. First Draft (February 16, 2018): Each Fellowship recipient is required to submit a First Draft of his or her paper by February 16, 2018. These drafts should be substantially revised based on feedback from the December research roundtable, and should provide reviewers with a clear sense of the approach and direction of the paper. Each First Draft will be subjected to anonymous peer review designed to provide constructive feedback. Comments will be sent to Fellowship recipients in early March. Fellowship recipients will receive an honorarium of $3,000 for timely submission.

4. Presentation of Second Draft at Digital Information Policy Scholars Conference at Antonin Scalia Law School (April 27, 2018): Privacy Fellows will submit a revised draft of their paper that responds to comments from peer reviewers for the Third Annual Digital Information Policy Scholars Conference, to be held on April 27, 2018 at Antonin Scalia Law School. Fellowship recipients will present revised drafts of their papers and serve as a discussant for one paper during the conference. Fellowship recipients successfully participating in the Scholars Conference will receive an honorarium of $3,000.

5. Completion of Final Draft and Submission to an Academic Journal (Summer 2018): Following presentation at the Scholars Conference, Fellowship recipients are expected to revise their paper and to seek publication in a suitable academic journal. Upon completion of this requirement, Fellowship recipients will receive a final honorarium of $3,000.

Empirical projects are strongly preferred to theoretical or doctrinal research. Topics of special interest include the following: