03 June 2020

Webinar: Daria Kim, Max-Planck Institute 09-06-20@11:00GMT

Webinar: Daria Kim, Max-Planck Institute 09-06-20@11:00GMT

Please join us for a webinar on Tuesday the 9th of June 2020 at 11:00 London time i.e. 12:00 Brussels time, 13:00 Athens time. The speaker is Daria Kim, Junior Research Fellow, Max Planck Institute for Innovation and Competition. The title of the talk is "Innovation Incentives in the Data Economy as a Case on Knowledge Externalities"

The moderator will be Dr. Andreas Panagopoulos. To join us follow this link:​

This webinar is free and open to all. To participate and for further information, please contact Dr. Andreas Panagopoulos at least a day prior to the seminar.

Abstract: The objective of building ‘a thriving data economy’ has been at the fore of the policymaking at EU level for several years now. A number of targeted policy and legislative initiatives aiming to ‘unlock the re-use potential of different types of data and create a common European data space’ have been pursued since early 2000s. Yet, the design of a regulatory framework that would facilitate ‘value generation from datasets’, boost the potential of the data economy and provide for the development of ‘a genuine single market for data’ remains much ‘work in progress’.

The presentation will reflect on the relevance of several concepts and principles underlying intellectual property law for informing the design of a regulatory framework for the data economy. Even though data and knowledge do not let draw a perfect analogy, their governance pose the same question of whether, and to what extent, knowledge resources should be considered to be excludable or non-excludable economic goods. The focus is on the ‘access-incentives dilemma’ over device-generated data and the related ongoing policy debate. Other economic concepts and premises underlying IP law will be explored, such as the concept of ‘knowledge externalities’, with a further distinction between those emanating through imitation and those transmitted through R&D; the notion of ‘innovation incentives’ as the protection of competitive advantage, with a further distinction between ‘competition by imitation’ and ‘competition in innovation’; the idea that an innovation framework should balance ‘the rules of appropriation and the rules of diffusion’; the limitation of the ‘static-dynamic efficiency trade-off’ as a justification for the excludability of knowledge resources and exclusivity-based innovation incentives. 

The analysis takes a recourse to literature on economics of knowledge and innovation in search for the understanding of how the trade-off (or the risk thereof) between the broad accessibility of data and the protection of innovation incentives should be resolved

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