News

Best Paper Award at 56th HICSS Conference (2023)

Congratulations!

The paper „German Federal Election on Social Media: Analyzing Electoral Risks Created by Twitter and Facebook“ has won the Best Paper Award for the “Internet and the Digital Economy” track at the Hawaii International Conference on System Sciences (HICSS).  An earlier version of this paper was published as a working report of our  Sustainable Computing Lab [1]. The paper was presented in the mini-track on "Human-centricity in Sustainable Digital Economies" which was organized and chaired by Soheil Human, Gustaf Neumann and Rainer Alt. 

We congratulate our colleagues Johanne Kübler, Marie-Therese Sekwenz, Felicitas Rachinger, Anna König, Rita Gsenger, Eliška Pírková, Ben Wagner, Matthias C. Kettemann, Michael Krennerich, and Carolina Ferro for this achievement and look forward to our next year's mini-track at HICSS.

[1] https://www.sustainablecomputing.eu/wp-content/uploads/2021/10/DE_Elections_Report_Final_17.pdf

2022 EDUNIVERSAL BEST MASTERS RANKING

We are pleased to announce that the "Information Systems" programme of our Institution is ranked as #1 in the 10th Best Masters Ranking (2022) for Information Systems programmes in Western Europe.

The quality of the program was measured by three main criteria:

• The reputation of the programme: be known and recognized by recruiting companies and have an active approach towards them.
• The salary of the first employment after graduation: placement of your graduates in the best job positions on the market.
• Student's satisfaction: work on improving your programmes by considering the feedback of your students.

This ranking gives our programs greater visibility with all stakeholders, including students, HR professionals, and the media.

https://www.best-masters.com/ranking-master-information-systems-management-in-western-europe.html

New Publication: Beleidsinformatica

New publication: Beleidsinformatica

New publication: The textbook "Wirtschaftsinformatik" by the authors Hans Robert Hansen, Jan Mendling and Gustaf Neumann has now also been published in Dutch. Benoît Depaire and Mieke Jans from the University of Hasselt were won over as co-authors for the Dutch version. The original German edition is considered the standard textbook for the German-speaking world and ranks #1 among business information systems books on Amazon. For students of WU Vienna, the book "Wirtschaftsinformatik" is still available free of charge in electronic form.

Further information on the Dutch edition can be found at the publisher's website.

New Book: Knowledge Graphs

Knowledge Graphs

This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale.

The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve.

This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.

Links

Link to the publishers announcement:
https://twitter.com/MorganClaypool/status/1461376162249195525

Link to the book:
https://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1683

Link to a html version of the book:
https://kgbook.org/

Advanced Data Protection Control (ADPC) Released

As an outcome of our RESPECTeD project led by Soheil Human and conducted in collaboration with noyb, our researchers have developed the Advanced Data Protection Control (ADPC). ADPC is a proposed automated mechanism for the communication of users’ privacy decisions. It aims to empower users to protect their online choices in a human-centric, easy and enforceable manner. ADPC also supports online publishers and service providers to comply with data protection and consumer protection regulations.

The ADPC spec defines a method for expressing user decisions about personal data processing under the European Union’s data protection regulations, and similar regulations outside the EU. Currently, ADPC functions through the exchange of HTTP headers between the user agent and the web server, or through an equivalent JavaScript interface.

The mechanism serves as an automated means for users to give or refuse consent, to withdraw any consent already given, and object to processing based on legitimate interest. ADPC is an alternative to existing non-automated consent management approaches (e.g. ‘cookie banners’) which aims to reduce the overheads of the different parties involved in the protection of users privacy equation.

More information about ADPC can be found on: https://www.dataprotectioncontrol.org