Year: 2021
Type: book
Abstract: This collection explores the relevance of global trade law for data, big data and cross-border data flows. Contributing authors from different disciplines including law, economics and political science analyze developments at the World Trade Organization and in preferential trade venues by asking what future-oriented models for data governance are available and viable in the area of trade law and policy. The collection paints the broad picture of the interaction between digital technologies and trade regulation as well as provides in-depth analyses of critical to the data-driven economy issues, such as privacy and AI, and different countries' perspectives. This title is also available as Open Access on Cambridge Core.
Authors: Mira Burri, Manfred Elsig, Sebastian Klotz, Martina F. Ferracane, Andrew D. Mitchell, Neha Mishra, Anupam Chander, Emmanuelle Ganne, Daniel J. Gervais, Xavier Seuba, Urs Gasser, Svetlana Yakovleva, Joris van Hoboken, Kristina Irion, Henry S. Gao, Rodrigo Polanco, Patrick Leblond, Florent Thouvenin, Aurelia Tamò-Larrieux, Susan Ariel Aaronson
Institution: University of Lucerne
Language: English
Subfield: Law
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W4245036058