Editors: Anja Lehmann, IBM Research Zurich, Switzerland; Diane Whitehouse, The Castlegate Consultancy, Malton, UK; Simone Fischer-Hübner, Karlstad University, Sweden; Lothar Fritsch, Karlstad University, Sweden; Charles Raab, University of Edinburgh, UK

Thoroughly revised tutorials from the 11th Annual IFIP Summer School on Privacy and Identity Management

Big Data.- Big Data Privacy and Anonymization.- Data Protection by Design and by Default à la European General Data Protection Regulation.- Evaluating Websites and Their Adherence to Data Protection Principles: Tools and Experiences.- Privacy in the Human Brain Project: The Perspective of Ethics Management.- Smart Cars Cruising on the Road Paved with Good Intentions? Workshop on Big Data Applications and Individual Rights under the New European General Data Protection Regulation.-Opportunities and Challenges of CREDENTIAL.- Co-development of RRI Framework to Emphasize Privacy and Data Protection.- Evidence-Based Methods for Privacy and Identity Management.- Enforcing Data Protection Law: the Role of the Supervisory Authorities in Theory and Practice.- Not Just User Control in the General Data Protection Regulation. On the Problems with Choice and Paternalism, and on the Point of Data Protection.- Visualizing Exports of Personal Data by Exercising the Right of Data Portability in the Data Track - Are People Ready for This?.- Cloud Computing Contracts Regulatory Issues and Cloud Service Providers' Offers: An Analysis.- Using Differential Privacy for the Internet of Things.- Implicit Bias in Predictive Data Profiling within Recruitments.- A Survey of Security Analysis in Federated Identity Management.- The Impact of Users' Affect States on Privacy Concern.- Privacy Salience: Taxonomies and Research Opportunities.

This book contains a range of invited and submitted papers presented at the 11th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, held in Karlstad, Sweden, in August 2016.
The 17 revised full papers and one short paper included in this volume were carefully selected from a total of 42 submissions and were subject to a two-step review process. The papers combine interdisciplinary approaches to bring together a host of perspectives: technical, legal, regulatory, socio-economic, social, societal, political, ethical, anthropological, philosophical, and psychological.
The paper 'Big Data Privacy and Anonymization' is published open access under a CC BY 4.0 license at link.springer.com.