Student Research Assistant
Research Focus and Agenda
Person×environment-interactions on cognitive processes and opinion formation and behavior, specifically in relation to the following topics:
- Intelligent systems’ role in the creation, dissemination, filtering, sorting, and provision of politically relevant information
- Effects of the novel ways in which information is presented on how it is cognitively processed by individuals, and how this, in turn, relates to political opinion formation and politically relevant behaviors
- Large language models, recommender algorithms, chatbots, etc.
- Missinformation, echo chambers, filter bubbles, microtargeting, etc.
- Affective and ideological polarization, political participation, connective action
- Creation of intelligent systems fostering individuals’ democratic capabilities
In addition, we are interested in the data economy in broad, digital business models, and how they affect platform design and the application of intelligent systems.
To investigate these topics, we use a variety of methods including experiments, surveys, interviews, and the analysis of digital trace data.
Research Agenda of the Computational Digital Psychology Team
Photo: Computational Digital Psychology; Dr. Cornelia Sindermann; 2023
Computational digital psychology
- Duration
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January 2023 -- December 2026
- Integration
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SRF IRIS (Interchange Forum for Reflecting on Intelligent Systems)
- Funding
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The project is funded by the Ministry of Science, Research and the Arts of the State of Baden-Württemberg.
Working with us
We are always looking for motivated individuals interested in research at the intersection of psychology, political science, and computer science and welcome applications all year round.
Our team investigates how intelligent systems and online environments formed by them may impact information consumption, information processing (e.g., automatic versus controlled processes), and political opinion formation (e.g., extremization, polarization, etc.) in different individuals. The spread of “fake news”, the creation of “filter bubbles” or “echo chambers”, as well as the consequences of those phenomena are examples of research topics that are of interest to our team. Our research approach combines self-report, experimental, and digital trace data to examine the aforementioned research questions.
If you are looking to:
- improve your research skills
- gain a deeper understanding of the topics mentioned above
- contribute to relevant research projects - from the planning of the design to the statistical analysis and interpretation of results
- gain hands-on experience in this research field
- work in a small, open, and friendly research group
and you:
- have a background in psychology, cognitive, social, or political sciences, or you have acquired knowledge in one of these fields
- are interested in the impact of intelligent systems and online environments
- have no problem handling different types of data (survey, experimental, digital traces, etc.)
- are familiar with different methods of inferential statistics (linear models/regression analysis, ANOVA, multilevel modeling, SEM, etc.)
Please reach out to us and send your application stating your motivation to be part of the team including your knowledge and interest in this field of research as well as your previous experience in research projects to cdpsych@iris.uni-stuttgart.de
If you have any questions regarding positions in our team, please reach out to Dr. Cornelia Sindermann.
We are looking forward to hearing from you!
IRIS3D Research Group Computational Digital Psychology
Student Research Assistant
Independent Research Group Leader - Computational Digital Psychology
Phone:
+49 711 685 84430
Student Research Assistant
Scientific Associate
Phone:
+49 711 685 84317