Short CV
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 |
- Pellert, M., Lechner, C. M., Wagner, C., Rammstedt, B. and Strohmaier, M. (2024). AI psychometrics: Assessing the psychological profiles of large language models through psychometric inventories. Perspectives on Psychological Science, 19, 808–826.
- 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., Metzler, H., Matzenberger, M. and Garcia, D. (2022). Validating daily social media macroscopes of emotions. Scientific Reports, 12, 1–8.
- 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.
- Pellert, M., Lasser, J., Metzler, H. and Garcia, D. (2020). Dashboard of sentiment in Austrian social media during COVID-19. Frontiers in Big Data, 3, 1–9.
- Pellert, M., Schweighofer, S. and Garcia, D. (2020). The individual dynamics of affective expression on social media. EPJ Data Science, 9, 1–14.
- Trpin, B. and Pellert, M. (2019). Inference to the best explanation in uncertain evidential situations. The British Journal for the Philosophy of Science : BJPS, 70, 978-1001.
- 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.