What conspiracy theories and disinformation narratives resonate most in Czech society today? This internship offers the opportunity to participate in research that combines artificial intelligence, statistics, and social sciences. Students will learn about data from an extensive public opinion survey focusing on belief in conspiracy theories, trust in institutions, media consumption, and psychological factors. The goal of the internship is to create and evaluate a Bayesian network or other probabilistic graphical model that can meaningfully explain and visualize this data.
What will the internship involve?
- Analysis of data from a public opinion survey on conspiracy theories and trust in institutions
- Creation of Bayesian networks or other probabilistic graphical models
- Visualization of data using graph structuresDevelopment and testing of new methods and models in the field of probabilistic modeling
- Collaboration with experts in AI, statistics, and social sciences
What we need:
- Interest in artificial intelligence, data science, and social phenomena
- Familiarity with probabilistic models or willingness to learn quickly
- Basic programming skills (e.g., Python, R, Matlab)
- Independence, analytical thinking, and attention to detail
What we offer:
- The opportunity to participate in research with a high social impact
- Practical experience with Bayesian networks and probabilistic models
- Space for your own ideas and methodological approaches
- Collaboration in an interdisciplinary team connecting AI and social sciences
Would you like to see how artificial intelligence and statistics help us understand social phenomena such as belief in conspiracy theories? Join our research team and discover the power of Bayesian networks in analyzing data from real-world environments.