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Department of Informatics Information Management Research Group

Master Theses

Important Information

Here you find an overview about our currently available master theses. If you have not found a topic that interests you, but are interested in writing your thesis at IMRG, please direct contact Prof. Dr. Schwabe

Please, keep in mind that thesis submitted in August and February will not be corrected before semester degree conferral dates!

Further information about the MSc program can be found at Master in Informatics

Government as a Platform: Enhancing Crisis Response through Multi-Stakeholder Data Sharing

As a part of the project Government as a Platform we offer a master thesis, which will investigate the question of what role data sharing plays in orchestrating stakeholders in crisis situations through digital platforms in the canton of Zurich.  We offer writing your thesis in an exciting project in a multidisciplinary research team, a very dynamic and inspiring working environment, with access to expertise at a leading Swiss university, our partners from the public and private sectors, and plenty of opportunities for interdisciplinary exchange. read more

Adherence to Treatments with the Digital Companion

The goal of the Digital Companion project is to explore how digital health can support patients with chronic diseases in adhering to their treatment plan, as well as physicians in transitioning to a closed-loop obesity treatment using conversational AI. In this thesis, you will research to what extent the patients have adhered to the treatment plan and the effectiveness of the developed system.read more

Adherence to Guidelines with the Digital Companion

The goal of the Digital Companion project is to explore how digital health can support patients with chronic diseases in adhering to their treatment plan, as well as physicians in transitioning to a closed-loop obesity treatment using conversational AI. In this thesis, you will research how we can guide/motivate doctors to close the loop in obesity treatment from a collaboration engineering perspective, based on the design science research method.read more

“I Will Do It Tomorrow” - Procrastination Mitigation with AI Agents

Academic procrastination can result in poor grades, course withdrawals, and a decline in academic performance. It can also affect students’ emotions, social lives, and even mental health. We are looking for motivated students to investigate how (generative) AI-powered systems could help university students reduce academic procrastination.read more

Understanding Generative AI's Role in Academic Review Processes

In this thesis project, the student will examine the role of generative AI on scientific reviewing in the information systems discipline. The research aims to understand how much and how AI-generated content affect scholarly peer reviews.

For more information, contact Dr. Liudmila Zavolokina

Integrating humor cues in AI propaganda detection tool to enhance critical thinking

This thesis explores how integrating humor can enhance critical thinking in AI systems for detecting propaganda. It aims to identify effective ways to use humor to better understand and distinguish propagandistic content, fostering critical thinking among news readers. The student will design and evaluate the effectiveness of humor cues in an experimental setting to help readers better distinguish propaganda. The thesis is embedded in the on-going research project, see:Project description,Related reading

Interested? Contact Dr. Liudmila Zavolokina

From messy data to actionable visualizations: Building automated tools to make sense of complicated governance situations - the case of Ukrainian refugee crisis

In the GaaP project we aim to use digital platforms to improve the coordination of actors involved in refugee management in the canton of Zurich. During the first phases we collected heterogeneous data (qualitative interviews, media analysis, surveys) that describe, among other things, diverse interconnections between involved actors. The goal of this master thesis is to extract an actor network visualization  to make sense of complicated governance situations.   

Contact Aleksandra Garazha

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