How Big-Tech Barons Smash Innovation-and How to Strike Back (ePub)

Ariel Ezrachi is the Slaughter and May Professor of Competition Law and a Fellow of Pembroke College, Oxford. He serves as the Director of the University of Oxford Centre for Competition Law and Policy. He is co-editor-in-chief of the Journal of Antitrust Enforcement (OUP) and the author, co-author, editor and co-editor of numerous books, including Virtual Competition - The Promise and Perils of the Algorithm Driven Economy (2016, Harvard), EU Competition Law - An Analytical Guide to the Leading Cases (6th ed, 2018, Hart), Global Antitrust Compliance Handbook (2014, OUP), Research Handbook on International Competition Law (2012 EE), Intellectual Property and Competition Law: New Frontiers (2011, OUP), Criminalising Cartels: Critical Studies of an International Regulatory Movement (2011, Hart), Article 82 EC - Reflections on its recent evolution (2009, Hart) and Private Labels, Brands and Competition Policy (2009, OUP).​His research and commentary have been featured in The Economist, The New Yorker, Wall Street Journal, Financial Times, The Guardian (opinion), The Guardian, Nikkei, Times Higher Education, Harvard Business Review, HBR (2), Berkeley Technology Law Journal, Chicago University Pro Market, New Scientist, Politico, OBLB, WIRED, Click - BBC, CPI, Concurrences, The Scotsman, The Times, Fast Company, Nesta, UNCTAD, OECD, Forbes, Factor, The Australian, NRC 2016, NRC 2018, Business Insider, CMS Wire, Cited, IAI, Les Echos, ACCC, ZDnet, and other international outlets. His work on algorithmic collusion (together with Prof Stucke) has been central to policy discussions in international organisations and competition agencies (including, among others, the CMA, OECD, UN, House of Lords, Monopolkommission).Prof. Ezrachi develops training and capacity building programmes in competition law and policy for the private and public sectors, including training programmes for European judges endorsed and subsidised by the European Commission. He is an Academic Advisor

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