Welcome to Mannheim
The Dean of the Business School, Joachim Lutz, and the entire Management team of the Business School wish Mr. Strohmaier a good start in Mannheim. Previously, Prof. Strohmaier held the “Chair for Computational Social Sciences and Humanities” at the RWTH Aachen University.
“Science beyond rigid subject boundaries – that is what I would like to work for with joy and a ‘long breath’,” says Strohmaier. The special research profile of the University of Mannheim, Business School is most appealing to him: data analytics will become increasingly important for business research and for data-driven companies. The Business School offers excellent conditions and frameworks for the research and application of data analytics, for example at the Management Analytics Center or the Mannheim Center for Data Science. “I am looking forward to strengthening the Business School’s research with my focus on data science methods and applications,” adds Prof. Strohmaier.
Further professional stages
In addition to his position at the University of Mannheim, Business School, Prof. Strohmaier is Scientific Coordinator for “Digital Behavioral Data” at the GESIS Leibniz Institute for the Social Sciences, which is, among other places located in Mannheim. From 2013 to 2017, he established and led the department “Computational Social Science” there. Previously, from 2007 to 2013, Strohmaier worked as an Assistant Professor at the Graz University of Technology with, amongst other things, a one-year overseas stay as a Visiting Assistant Professor at Stanford University (2011–2012). Markus Strohmaier had previously worked at the Graz University of Technology, having received his PhD from the Faculty of Information Systems there in 2004.
Main research areas and teaching
Prof. Strohmaier’s main research areas include data science in the economic and social sciences, with a particular focus on textual and relational data processing. The focus is on the development and application of methods for analyzing human behavior using new forms of data.
Master’s students can look forward to exciting courses in the field of Network Science and Text Mining beginning in the upcoming spring semester.
More information about Prof. Strohmaier's profile will be available here and in the near future on his Chair's page.