Data-driven behavioral interventions for sustainability (DABIS)


This seminar offers an introduction to behavioral insights that can help developers build more effective IS in the sustainability domain and beyond. It covers important psychological, social, cognitive, and emotional factors that need to be considered in state-of-the-art IS design. Participants will become familiar with concepts to “nudge” users. Participants will also discuss ethical aspects (i.e. the fine line between manipulation and honest support) and transfer the learnings to exemplary applications that can promote energy efficiency.
Furthermore, you will also become familiar with reading scientific papers, practice writing scientific reports, and learn how to better present your work in class.


Learning objectives and skills

The research seminar prepares students for their Bachelor thesis, so that they are able to answer a concrete research question in the field of digital transformation.

More specifically, students …

  • understand important behavioral theories
  • get a first impression on theory testing
  • relate the insights to practical challengess
  • understand the limitations of the theories
  • structure and plan a research-related assignment
  • read and evaluate scientific publications
  • write a scientific report
  • use and cite literature sources
  • present research findings to an audience
Recommended prerequisites None
Time and room Lecture: Thursdays, 11:30 – 13:00, room LG 5.154
Method of examination Seminar paper and presentation
Grading procedure Seminar paper (70%), presentation (30%)
Module frequency winter term 22/23
Workload Contact hours: 30 h
Independent study: 120 h
Module duration 1 Semester
Teaching and examination language English
(Recommended) reading Will be announced in class