This course deals with the topic of privacy and data protection (or the lack thereof) as a result of innovation in Information and Communication Technology (ICT). Digital communication has become nearly ubiquitous in modern industrialized societies. Along with this comes the possibility of this communication being digitally analyzed, which poses new challenges to privacy. This has re-vitalized not only research but also public debate which became especially prominent with the coming into effect of the General Data Protection Regulation (GDPR).
The main objective of the course is to introduce students to various aspects of privacy in a data-driven society as well as economic models that allow the analysis of the respective issues. After the course students should be able to:
- Define and explain key economic concepts related to privacy and data protection
- Identify key privacy and data-protection trade-offs and incentives of consumers/users, firms, and governments
- Apply relevant economic models to analyze privacy and data protection decision-making processes
- Discuss technological developments in light of potential privacy and data protection problems
- Provide an informed and critical view of the role and value of privacy and data protection in the digital age
Economics of Privacy, Privacy Harms, Economic Models of Consumer Privacy, Evidence from Behavioral and Experimental Economics of Privacy, Models of Security Investments, Privacy and Data Protection Regulations and Institutions |
- There is no compulsory textbook reading for this course.
- Compulsory readings will be made available via Blackboard.