Max Pellert, Ph.D.

Max Pellert, Ph.D.

Assistant Professor
University of Mannheim
L 15, 1–6
3rd floor – Room 322
68161 Mannheim
Research interests
  • Computational Social Science
  • Digital traces
  • Affective expression
  • Natural Language Processing
  • Psychometrics of AI
  • Collective emotions
  • Belief updating
  • IS 616: Large Scale Data Analysis and Visualization (Lecture & Exercise), Master's level, Fall Semester
  • IS 809: Advanced Data Science Lab II (Text Mining) (Lecture & Exercise), PhD level, Spring Semester
  • IS 723 Seminar Data-Science II (Empirical Studies), Master's level, Spring Semester
  • Team Projects

Short CV

Since 2022University of Mannheim, Assistant Professor at the Chair for Data Science in the Economic and Social Sciences
Since 2021Sony Computer Science Lab Rome, Assistant Researcher in the project “Information and social dialogue. Understanding and improving the news ecosystem”
Since 2021Regular teaching activities in the area of Computational Social Science
2017–2022Complexity Science Hub Vienna & Medical University of Vienna, PhD in the program Medical Informatics, Biostatistics & Complex Systems (Phd thesis “Analyzing the digital traces of individual and collective emotional behaviour”)
2017University of Vienna, M.Sc. (with distinction) in Middle European interdisciplinary master's programme in Cognitive Science (MEi:CogSci)
2014University of Vienna, Bakk. rer. soc. oek. in Economics
  • Pellert, M., Schweighofer, S. and Garcia, D. (2022). Social media data in affective science. In Handbook of computational social science (S. 240–255). London: Routledge, Taylor & Francis Group.