Max Pellert, Ph.D.
Assistant Professor at the Chair of Data Science in the Economic and Social Sciences
Main fields of research
- Computational Social Science
- Digital traces
- Affective expression
- Natural Language Processing
- Psychometrics of AI
- Collective emotions
- Belief updating
Curriculum vitae
| Since 2022 | University of Mannheim, Assistant Professor at the Chair for Data Science in the Economic and Social Sciences |
| Since 2021 | Sony Computer Science Lab Rome, Assistant Researcher in the project “Information and social dialogue. Understanding and improving the news ecosystem” |
| Since 2021 | Regular teaching activities in the area of Computational Social Science |
| 2017–2022 | Complexity 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”) |
| 2017 | University of Vienna, M.Sc. (with distinction) in Middle European interdisciplinary master's programme in Cognitive Science (MEi:CogSci) |
| 2014 | University of Vienna, Bakk. rer. soc. oek. in Economics |
Selected publications
- Savela, N., Garcia, D., Pellert, M. and Oksanen, A. (2024). Emotional talk about robotic technologies on Reddit: Sentiment analysis of life domains, motives, and temporal themes. New Media & Society, 26, 757–781.
- Metzler, H., Rimé, B., Pellert, M., Niederkrotenthaler, T., Di Natale, A. and Garcia, D. (2023). Collective emotions during the COVID-19 outbreak. Emotion, 23, 844–858.
- Pellert, M., Lechner, C. M., Wagner, C., Rammstedt, B. and Strohmaier, M. (2023). AI psychometrics: Assessing the psychological profiles of large language models through psychometric inventories. Perspectives on Psychological Science.
- Pellert, M., Metzler, H., Matzenberger, M. and Garcia, D. (2022). Validating daily social media macroscopes of emotions. Scientific Reports, 12, 1–8.
- 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.
- Di Natale, A., Pellert, M. and Garcia, D. (2021). Colexification networks encode affective meaning. Affective Science, 2021, 99–111.
- Savela, N., Oksanen, A., Pellert, M. and Garcia, D. (2021). Emotional reactions to robot colleagues in a role-playing experiment. International Journal of Information Management, 60, 1–15.