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Innovation Law & Theory Workshop: Barton Beebe


The Innovation Law & Theory Workshop

 

Professor Barton Beebe

Professor of Law, Benjamin N. Cardozo School of Law, Yeshiva University

 

Topic: Intellectual Property Law and the Sumptuary Code

 

Date:          Wednesday, February 25, 2009

Time:                   12:30 p.m. – 2:00 p.m.

Place:         Classroom A, Flavelle House, 78 Queen’s Park

 

Description: In this talk, Professor Beebe asserts that we have begun to transform intellectual property law into a modern form of sumptuary law, one through which we seek to conserve our system of consumption-based social distinction, our sumptuary code, in the face of emerging social and technological conditions adverse to it. The talk identifies the conditions that are bringing about the peculiar juncture of intellectual property law and sumptuary law. It further explains why it is crucial that we resist this juncture and reverse intellectual property law's sumptuary turn.

 

Bio: Barton Beebe is, for the 2009 spring semester, a Visiting Professor of Law at Stanford Law School, and was, for the 2008 fall semester, a Visiting Professor of Law at New York University School of Law. He is also a Professor of Law at Benjamin N. Cardozo School of Law, Yeshiva University.  In 2007, he was a special master for Judge Shira A. Scheindlin in the case of Louis Vuitton Malletier v. Dooney & Bourke, Inc. in the Southern District of New York. In 2002, he clerked for Judge Denise Cote of the Southern District of New York. Professor Beebe received his J.D. from Yale Law School and his Ph.D. in English Literature from Princeton University. His recent published works include An Empirical Study of U.S. Fair Use Opinions, 1978-2005, 156 Pa. L. Rev. 549 (2008); An Empirical Study of the Multifactor Tests for Trademark Infringement, 95 Cal. L. Rev. 1581 (2006); Search and Persuasion in Trademark Law, 103 Mich. L. Rev. 2020 (2005); and The Semiotic Analysis of Trademark Law, 51 UCLA L. Rev. 621 (2004).

 

Lunch will be provided - Please RSVP to centre.ilp@utoronto.caso we can better predict the numbers.

Sponsored by the Microsoft Information Society Project.