Summer School "NeuroIS & R" (NeuroIS14), Bachelor & Master

Semester: WS 2014/2015
Study Courses: all
Credit Points: --
Contact person: Martin Jungmann


The summer school on Neuro-Information-Systems (NeuroIS) will be offered in the summer term 2014 for all Bachelor and Master students. The aim of the summer school is to get the participants in contact with challenging and current scientific issues and approaches to promote their academic qualifications.

The 2-day summer school will be held on the 16th and 17th of September 2014. Participants will gain first impressions of academic work and actual research projects in the field of NeuroIS. Participants will learn and internalize methods and procedures that allow them in their empirical thesis and/or subsequent scientific career to work well-founded. In addition, this summer school intends that participants are able to handle the basic functions of R such that they can use it independently and targeted during their own studies especially for their theses.

The number of participants is limited to 15 people. On request, a certificate will be issued. Registration for the tutorial and the organization of the course content will be carried out with the help of the ISS e-learning platform.

The summer school is divided into two blocks:

1. NeuroIS:

eda.png nexus.jpg

In this part, a brief introduction to the field of NeuroIS is given. The focus lies especially on mobile applications in retailing and health care. During practical exercises physiological parameters of the participants are recorded within an experimental setting.

2. R:

The second part of the summer school will ensure that all participants are comfortable with basic R functions. The physiological data collected in the first part will be analyzed with R and the results are discussed. Participants will be asked in advance to install and to test R and RStudio IDE on their computers.


The summer school will be held by Martin Jungmann (Saarland University) and Tobias Kowatsch (Universiy of St. Gallen).

Martin Jungmann

Martin Jungmann is research associate at chair in information and service systems (ISS) at Saarland University. His current research program "DA4RBI – Data Analytics for Retail Business Intelligence" focusses the impact of consumers´ velocity on its visual awareness while moving through brick and mortar stores. Therefore, multiple sensors, e.g. eye tracking systems, are required to collect unbiased data which will be analyzed by complex statistical methods.

In 2003, Martin worked as an apprentice and as a consumer consultant at Bank 1 Saar eG in Saarbrücken. After gathering some practical experience, particular in investments, he left his entrepreneur and started his Bachelor studies of Business Administration at Saarland University in 2008. His thesis was about Benoît Mandelbrot and his ideas about financial markets. After that, he started the consecutive Master´s program “Economics, Finance and Philosophy” and his Master´s Thesis was about a measure for short-time overreactions on financial markets and assets which was developed by Univ.-Prof. a.D. Dr. Ralph Friedmann, PD Dr. Stefan Klößner and Dr. Martin Becker shortly before. Martin worked during his studies as a teaching assistant for mathematics and statistics at Faculty 1 of Saarland University.

Tobias Kowatsch

Tobias Kowatsch leads the Health-IS-Lab, a joint initiative of the Institute of Technology Management, University of St. Gallen (ITEM-HSG) and the Department of Management, Technology, and Economics, ETH Zurich under the scientific direction of Prof. Dr. Elgar Fleisch. He first studied media and computer science at Furtwangen University. After studying in Scotland and doing social volunteering in South Africa, he attended the Master’s program in computer science in media at HFU in 2006 and passed with distinction. Since 2012, he also holds a master’s degree in business informatics from Saarland University. In 2013, Tobias Kowatsch was awarded by Deutsche Bundesbank for the best exam of the 2012/2013 year of the Master´s program in Business Informatics at Saarland University, Germany. A detailed assembly of his previous distinctions and publications can be reviewed here.


Day 1 - 16.09.

  • 09:00 - 09:15 Introduction and Objectives
  • 09:15 - 09:45 What is NeuroIS Research?
  • 09:45 - 10:30 Hands-on Usage of NeuroIS-Tools like Eye Tracking, EDA and EEG
  • 10:30 - 10:45 Coffee Break
  • 10:45 - 11:45 Group Task 1: Analysis of NeuroIS Research Papers
  • 11:45 - 12:15 NeuroIS Research Projects: Retailing, Intelligent Bathroom & Healthcare
  • 12:15 - 14:00 Lunch Break
  • 14:00 - 14:15 Introduction to two NeuroIS studies in the Retailing and the Healthcare domain
  • 14:15 - 17:00 Conducting two NeuroIS studies

Day 2 - 17.09

  • 09:00 - 09:45 Primer on descriptive data analysis in R
  • 09:45 - 10:30 Group Task 2: Analysis of NeuroIS data - Part 1 „Descriptive"
  • 10:30 - 10:45 Coffee Break
  • 10:45 - 11:30 Finalization of Group Task 2
  • 11:45 - 12:15 Discussion of the results of Group Task 2
  • 12:15 - 14:00 Lunch Break
  • 14:00 - 14:45 Primer on statistical tests in R
  • 14:45 - 15:30 Group Task 3: Analysis of NeuroIS data - Part 2 „Hypothesis Testing“
  • 15:30 - 15:45 Coffee Break
  • 15:45 - 16:30 Finalization of Group Task 3
  • 16:30 - 17:00 Discussion of the results of Group Task 3
  • 17:00 - 17:15 Wrap-up

The summer school will be held in room 1.02, building C3.1 on both days.

Dates and Rooms


  • Field, A., Miles, J. and Field, Z. (2012). Discovering Statistics Using R. (1st ed.) Sage, London.

  • Dimoka, A., Pavlou, P.A. and Davis, F. (2011). NeuroIS: The Potential of Cognitive Neuroscience for Information Systems Research.

  • Dimoka, A., Banker, R.D., Benbasat, I., Davis, F.D., Dennis, A.R., Gefen, D., Gupta, A., Ischebeck, A., Kenning, P.H., Pavlou, P.A., Muller-Putz, G., Riedl, R., vom Brocke, J. and Weber, B. (2012). On the Use of Neurophysiological Tools in IS Research: Developing a Research Agenda for NeuroIS. MIS Quarterly, 36(3), 679-702.