Tag der Wirtschaftsinformatik


On the 25th of October, students and pupils have the opportunity to get to know the study program of information systems at the University of Saarland at the DFKI (Building D3 2).

3rd Data Science Summer School


After 5 days full of Statistics, web data processing, machine learning & co., the Data Science summer school ended last week.

Inspection of exams Informationsmanagement and Introduction into Data Science


The date for exam inspections for Informationsmanagement and Introduction into Data Science has been published.

Information and Service Systems (ISS)

Chair in Business Administration, especially Information and Service Systems at Saarland University deals with the development and management of data-driven services, for instance healthcare. Directed by Prof. Dr.-Ing. Wolfgang Maaß, the chair investigates how the application of experimental design methods combined with distributed, data analytic approaches lead to adaptive service designs and innovative solutions. This research is conducted in basic and applied research projects in cooperation with leading research and industry partners. Results are applied and validated in industry projects by the research group Smart Service Engineering (S2E) at the German Research Center for Artificial Intelligence (DFKI).

3rd European Data Science Summer School

poster_d3s.jpg Organized by Prof. Wolfgang Maaß (Chair in Information and Service Systems), the 3rd European Data Science Summer School will take place at Saarland University, September 26th-30th 2016. Being one of the hottest topics in research at the moment, Data Science also draws increasing interest in the professional world. Related concepts like cloud computing and big data are well used in industry and media but they represent only marginal aspects of this fascinating area of research. Besides teaching a theoretic understanding, the 3rd European Data Science Summer School at Saarland University is intended to promote a mathematical, legal and a business-oriented approach that enables participants not only to understand but also to apply concepts related to Data Science. National premier speakers from academia and business will be involved in the intensive 5-day training. Participants will benefit from the mix of lectures, hands-on workshops and a poster session leading from understanding of required basic statistical principles to opportunities of data processing as well as to Data Science applications. Social events such as a cozy ‚Saarland barbecue‘ invite lecturers and participants to discuss questions in further detail. After last year’s success, the organizers hope again for a diverse group of interested people from all over Germany and Europe. The 3rd European Data Science Summer School addresses all interested Master and PhD students with a minimal programming skill set. For more information regarding the 3rd European Data Science Summer School, a detailed schedule, and the registration process, please see here.

Maass, W. & Shcherbatyi, I.

Data-Driven, Statistical Learning Method for Inductive Confirmation of Structural Models, HICSS, 2017.

Janzen, S., Maass, W. & Kowatsch, T.

Finding the Middle Ground - A Model for Planning Satisficing Answers, Proceedings of 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), 2016.

Janzen, S. & Maass, W.

Balancing Dialogues with Mixed Motives, Computational Pragmatics Workshop at 2016 Annual Conference of the German Linguistic Society, 2016.