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Intelligente Systeme – Intelligentes Recht

Hamburg 2020/2021

Intelligente Systeme – Intelligentes Recht

Abstract

The relationship between law and technology is becoming increasingly complex due to the rapid advance of digitization and the development of new and "smart" technologies. Traditional anthropocentric concepts of law seem to be in question. Moreover, the ways in which law is made and applied are changing. In the face of new and adaptive technologies, must law and its enforcement themselves become more adaptive, and how can this be done? In their contributions to the 6th GRUR Young Science conference, young scientists will address these questions from the perspective of intellectual property, media, competition, information and data protection law and will present their theses for discussion at the online conference organized at Bucerius Law School on June 4 and 5, 2021. With contributions by Dr. Jonas Botta, Dr. Michael Denga, Prof. Dr. Philipp Hacker, Dr. Elsa Kirchner, David Korb, David Linke, Janine Marinello, Ferdinand Müller, Stefan Papastefanou, Dr. Joachim Pierer, Darius Rostam, Martin Schüßler, Florian Skupin, Sebastian Theß and Nora Wienfort.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Top 10%
Average
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