F1:The interplay of data protection principles provided for by the GDPR and data-driven innovation
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This flash session partly presents the research results of a PhD thesis on the interplay between the principle of purpose limitation provided for by European data protection law and and data-driven innovation. Coming from the perspective on data protection law as a risk regulation, the session focuses on instruments of regulated self-regulation as innovation-enhancing mechanisms.
Data protection law is usually seen as a regulation of risks caused by the processing of personal data. The research approach on the 'regulation of innovation' broadens this perspective by a further conceptual question: How should instruments for the regulation of risks be shaped in order not to unnecessarily hinder innovation or even enhance innovation? Coming from an interdisciplinary perspective, the approach takes the conceptions and empirical findings of economic sciences on innovative entrepreneurship as a basis for examining the effectiveness and appropriateness of regulation instruments with respect to innovation. Potential findings of this approach will be discussed taking the example of the principle of purpose limitation and data-driven innovation.
Innovation, Regulation, Data Protection, Standards, Principle of Purpose Limitation
Short presentation of PhD research results and discussion: Input warmly welcomed!
- Maximilian von Grafenstein
- Regulation of Big Data
- Policy brief on "Principle of Purpose Limitation
- Alexander von Humboldt Institute for Internet and Society
- Research project 'Innovation and Entrepreneurship'
Maximilian von Grafenstein LL.M., Alexander von Humboldt Institute for Internet and Society, Berlin, Germany
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