Big Data, Artificial Intelligence, and Competition Law - Thomas Fetzer
- Date: Friday 1 March 2019, 12:00 – 13:30
- Location: Liberty Building
- Type: Seminars and lectures
- Cost: Free
The Centre for Business Law and Practice is delighted to welcome Prof. Dr. Thomas Fetzer. Thomas will be presenting on his research into Big Data, Artificial Intelligence, and Competition Law.
This paper will be relevant to anyone interested in digitisation, business and the law.
The abstract for Thomas' talk will be available shortly.
About the speaker
Thomas Fetzer has been holding the Chair of Public Law, Regulation Law and Tax Law at the School of Law and Economics at the University of Mannheim since 2012. He studied law at the University of Mannheim where he also received his doctoral degree in 2000 with a thesis on the taxation of Internet transactions. He graduated from Vanderbilt University Law School with the degree of an LL.M. in 2003. Habilitation at the University of Mannheim in 2009 with a comparative thesis on the sector-specific regulation of the telecommunications sector in Europe and the U.S. He is an Adjunct Professor of Law at the University of Pennsylvania Law School Centre for Technology, Innovation and Competition since 2009. He held the Chair of Tax Law and Business Law at the TU Dresden Law School from 2010 – 2012. He served as head of the Department of Law and Dean of the School of Law and Economics at the University of from 2014-2017. Moreover, he is an academic director of the Mannheim Centre for Competition and Innovation (MaCCI) as well as an academic director of the Mannheim ScienceCampus Taxation (MaTAX). Thomas Fetzer specializes in Antitrust and Regulatory Law with a special focus on questions relating to digitalization. He has done several studies for the German Federal Ministry of Economic Affairs and Energy on the regulation of digital markets. Moreover, he has testified several times as an expert for the German Parliament (Deutsche Bundestag).
Seminar Room G.33,
School of Law
University of Leeds
For sat navs, please use the postcode for Moorland Road, LS6 1AN.
The Liberty Building can also be found on the campus map.
All welcome. This is a free event, though registration is required.
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