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New Technology, Big Data and the Law

Overview of attention for book
Cover of 'New Technology, Big Data and the Law'

Table of Contents

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    Book Overview
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    Chapter 1 Disruptive Technologies Shaping the Law of the Future
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    Chapter 2 The Principle of Purpose Limitation and Big Data
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    Chapter 3 Scientific Research and Academic e-Learning in Light of the EU’s Legal Framework for Data Protection
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    Chapter 4 Internet of Things: Right to Data from a European Perspective
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    Chapter 5 Right to be Forgotten: A New Privacy Right in the Era of Internet
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    Chapter 6 Intermediaries and Mutual Trust: The Role of Social Capital in Facilitating Innovation and Creativity
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    Chapter 7 Nudging Cloud Providers: Improving Cloud Architectures Through Intermediary Services
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    Chapter 8 A Brokering Framework for Assessing Legal Risks in Big Data and the Cloud
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    Chapter 9 Internet Intermediaries and Copyright Enforcement in the EU: In Search of a Balanced Approach
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    Chapter 10 The Collection of Electronic Evidence in Germany: A Spotlight on Recent Legal Developments and Court Rulings
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    Chapter 11 LegalAIze: Tackling the Normative Challenges of Artificial Intelligence and Robotics Through the Secondary Rules of Law
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    Chapter 12 In the Shadow of Banking: Oversight of Fintechs and Their Service Companies
Attention for Chapter 3: Scientific Research and Academic e-Learning in Light of the EU’s Legal Framework for Data Protection
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Citations

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4 Mendeley
Summary Dimensions citations
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Chapter title
Scientific Research and Academic e-Learning in Light of the EU’s Legal Framework for Data Protection
Chapter number 3
Book title
New Technology, Big Data and the Law
Published by
Springer, Singapore, January 2017
DOI 10.1007/978-981-10-5038-1_3
Book ISBNs
978-9-81-105037-4, 978-9-81-105038-1
Authors

Cecilia Magnusson Sjöberg

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Professor > Associate Professor 1 25%
Lecturer 1 25%
Readers by discipline Count As %
Social Sciences 3 75%
Computer Science 1 25%

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