Scholar
Max Pellert
Google Scholar ID: t0rMdnoAAAAJ
Barcelona Supercomputing Center
Citations & Impact
Citations
581
H-index
12
i10-index
13
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Publications: 'Large language models replicate and predict human cooperation across experiments in game theory' (pre-print), 'Neural network embeddings recover value dimensions from psychometric survey items on par with human data' (pre-print), 'Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models' (ACL 2025), 'Extracting Affect Aggregates from Longitudinal Social Media Data with Temporal Adapters for Large Language Models' (ICWSM 2025 Proceedings).
Research Experience
- Assistant Researcher at SONY Computer Science Laboratories Rome; Assistant Professor at the Chair for Data Science in the Economic and Social Sciences at University of Mannheim; Interim Professor for Social and Behavioural Data Science at University of Konstanz; Currently, Principal Investigator at the Barcelona Supercomputing Center.
Education
- PhD in Computational Social Science (CSS) affiliated to Complexity Science Hub Vienna and Medical University of Vienna. His PhD research focused on analyzing the digital traces of individual and collective emotional behavior and affective expression on social media, under the supervision of David Garcia (now at University of Konstanz).
Background
- A cognitive scientist by training, broadly interested in using traditional and novel interdisciplinary computational methods from domains such as Natural Language Processing to study psychometric aspects of large language models, semantic embeddings as complements to human ratings, synthetic surveys, emotional well-being measured from textual data, emotional decay on social media, polarization, belief updates, and many other interesting phenomena.
Co-authors