Veranstaltungen

Abstract und Titel folgen.

Ansprechpartner: Daehyun Kim

Eintragung in den Einladungsverteiler und mehr Informationen auf der Seminarseite.

Abstract und Titel folgen.

Ansprechpartner: Rainer Widmann

Eintragung in den Einladungsverteiler und mehr Informationen auf der Seminarseite.

Der Max Planck Digitality Fireside Chat ist ein informelles Veranstaltungsformat für intensive Gespräche und Diskussionen zu Digitalität und digitaler Transformation. Ziel ist es, Modelle für den Umgang mit der digitalen Transformation und Digitalität an sich tiefgehend erörtern zu können. Das Konzept erlaubt einen Austausch zwischen Forschenden und digitalen Pionieren aus der Praxis, die mit neuen Konzepten, Vorschlägen und Ideen hervorgetreten sind und Digitalisierung aktiv gestalten. 

Abstract und Titel folgen.

Ansprechpartner: Rainer Widmann

Eintragung in den Einladungsverteiler und mehr Informationen auf der Seminarseite.

On 18/19 December 2023, the Max Planck Institute for Innovation and Competition will host the 6th Research on Innovation, Science and Entrepreneurship Workshop (RISE6), an annual workshop for Ph.D. students and Junior Post-docs in Economics and Management. 

The goal of the RISE6 Workshop is to stimulate an in-depth discussion of a select number of empirical research papers. It offers Ph.D. students and Junior Post-docs an opportunity to present their work and to receive feedback.

Keynote speaker of the RISE6 Workshop is Ina Ganguli (UMass Amherst).

See the Call for Papers.

For more information see RISE Workshop.

Abstract und Titel folgen.

Ansprechpartnerin: Marina Chugunova

Eintragung in den Einladungsverteiler und mehr Informationen auf der Seminarseite.

Data is a central resource of and multiple-use production factor in the 21^st century. Data creation, data processing, data use, and data transfer is – in the words of data geopolitics – inherently linked to the competitiveness of not only economies, but also of societies. Nevertheless, the quest for an adequate and balanced governance framework is on-going – whereby data governance does not only, but also encompasses hard and soft law regulation. The respective field of data law is emerging and not yet fully ‘surveyed’, still in the process of making as well as fragmented along the lines of existing rules and recent policy efforts. The legal (and infrastructural) taxonomy is in flux and an inherent element of modern-day data strategies worldwide.

Underlining this global nature of data governance, the conference is aimed at a truly global view on data law instruments – where the current EU pieces of legislation (inter alia the General Data Protection Regulation as well as the Data Governance Act and the proposed Data Act) are only one of many approaches. Most important, the conference is devoted to a contextual – and a decolonial comparative law – approach to data regulation – including cultural, economic, and infrastructural dimensions of data governance and linking perspectives from the global north and global south as well from liberal and authoritarian settings.

The conference is co-organised by the University of Passau Research Centre for Law and Digitalisation (FREDI) and the Max Planck Institute for Innovation and Competition. The event is the final part of a three-tier conference series on Global Data Law and element of a greater research agenda with respect to Global Data Law & Policy.

Visit the website on the Conference Series on Global Data Law.
 

Programme as pdf

Registration is open up to and including 26 November 2023.

The transfer of knowledge has not changed fundamentally for many hundreds of years: It is usually document-based-formerly printed on paper as a classic essay and nowadays as PDF. With around 2.5 million new research contributions every year, researchers drown in a flood of pseudo-digitized PDF publications. As a result research and innovation is seriously weakened. We argue for representing research contributions in a structured and semantic way as a knowledge graph. The advantage is that information represented in a knowledge graph is readable by machines and humans. As an example, we give an overview on the Open Research Knowledge Graph (ORKG), a service implementing this approach. For creating the knowledge graph representation, we rely on a mixture of manual (crowd/expert sourcing) and (semi-)automated techniques. Only with such a combination of human and machine intelligence, we can achieve the required quality of the representation to allow for novel exploration and assistance services for researchers. As a result, a scholarly knowledge graph such as the ORKG can be used to give a condensed overview on the state-of-the-art addressing a particular research quest, for example as a tabular comparison of contributions according to various characteristics of the approaches. Further possible intuitive access interfaces to such scholarly knowledge graphs include domain-specific (chart) visualizations or answering of natural language questions.

Ansprechpartnerin:  Marina Chugunova

Eintragung in den Einladungsverteiler und mehr Informationen auf der Seminarseite.