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Newsletter #3
Summer 2019
With these news from the Institute we wish you a relaxing summer break respectively productive research time!
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Researchers at the Institute study the utilization and impact of Artificial Intelligence and Machine Learning in order to gauge their implications for society and economy, and also use these techniques for their research. In order to support this work more effectively, the Department for Innovation and Entrepreneurship Research at the Institute has established a Machine Learning and Artificial Intelligence Group. More
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The prospective free-trade agreement promises to open up markets worth billions. But what will it mean for the protection of intellectual property in Latin America?
A research team led by Reto M. Hilty examines the applicable legal standards in Latin America and which systems of protection are most appropriate in developing the economy. More
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Event report
3 renowned keynote speakers, 19 varied paper presentations, 27 contributions to poster slams, and 114 attendants from over 50 universities and research institutions from the US, Canada, Mexico, Australia and all over Europe: A recap in numbers on the 4th MSI from 17 to 19 June 2019. More
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Preview
On 16 and 17 December 2019, the second Research in Innovation, Science and Entrepreneurship Workshop (RISE) will take place at the Institute. The workshop was first organized by Junior Researchers in 2018, and is aimed at Ph.D. students and Junior Post-docs worldwide. RISE offers them an opportunity to present their work, receive feedback from experienced researchers and connect with peers from other research institutions. Keynote Speaker of the RISE2 Workshop is Pierre Azoulay, Professor at the MIT Sloan School of Management and Research Associate at the National Bureau of Economic Research. See RISE Website
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Event report
This year's alumni conference, which dealt with the topic of Artificial Intelligence (AI) and its implications for intellectual property and competition law, allowed participants from academia, public and private sector to exchange on AI-related topics, such as the AI-generated works, patent protection of AI, algorithmic collusion and the forthcoming amendment of the German Act against Restraints of Competition (GWB). Detailed report: GRUR Int. Issue 08, 2019 and Alumni Website
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Innovation promises dynamism and technical progress, new products and new markets. This results in new conflicts and challenges for the law.
The conference volume documents the manifold presentations of the 4th GRUR Junge Wissenschaft Conference (GRUR Young Science), in which junior academics address these issues and challenges.
Lena Maute, Mark-Oliver Mackenrodt (ed.)
Recht als Infrastruktur für Innovation
Nomos-Verlag
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What the sharing economy means for the law and how the law in turn shapes critical aspects of the sharing economy is the subject of this handbook.
With a diverse set of contributors from different disciplines and countries, the book compiles the most important research findings and answers topical questions.
Nestor M. Davidson, Michèle Finck, John J. Infranca (ed.)
Cambridge Handbook of the Law of the Sharing Economy
Cambridge University Press
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Science governance and science funding seek to promote excellent science output by allocating resources to those researchers and institutions from which outstanding results are expected. This logic does not account for tangible results from technology transfer and commercialization.
Our research shows that, indeed, what science considers excellent also leads to outstanding results in the technology realm. Excellent science features in substantially more patent documents, indicating the relevance and contribution to technology development. Moreover, patents with references to excellent science are of much higher commercial value.
This indicates that science funding and incentives in the science sector align with society’s technological needs.
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Research organizations and researchers studying science itself are reliant on bibliometric databases. These collect data on scientific publications, which allow to “measure” scientific output. The new software pybliometrics, developed by Michael E. Rose, Senior Research Fellow at the Institute, in collaboration with John R. Kitchin (Carnegie Mellon University), opens up new ways for users to get more quickly to the large and growing amounts of data they need. At the same time, pybliometrics fosters the verifiability of scientific results, which is a hallmark of good scientific practice.
Michael E. Rose, John R. Kitchin, John R.
pybliometrics: Scriptable Bibliometrics Using a Python Interface to Scopus
SoftwareX, 10
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