Max Pellert
Junior Faculty (Assistant Professor)
University of Mannheim

Complexity Science Hub Vienna
Medical University of Vienna



Max Pellert has a background in cognitive science and economics (University of Vienna, Austria and University of Ljubljana, Slovenia). He was a doctoral researcher affiliated to Complexity Science Hub Vienna and Medical University of Vienna in the WWTF research group “Emotional Well-Being in the Digital Society” lead by David Garcia (now University of Konstanz). After receiving his PhD, he gained industry experience as Assistant Researcher at Sony CSL Rome. Currently, he works at the Chair for Data Science in the Economic and Social Sciences at University of Mannheim (Markus Strohmaier) as junior faculty (assistant professor). His research focuses on analyzing the digital traces of individual and collective emotional behavior and affective expression on social media. He is broadly interested in the social sciences and uses traditional and novel computational methods from domains such as Natural Language Processing to study emotion dynamics, belief updating, collective emotions and other interesting phenomena.


2022/07/18 “Collective emotions during the COVID-19 outbreak” was published under the lead of Hannah Metzler in Emotion.
2022/07/04 “Validating daily social media macroscopes of emotions” was published under my lead in Nature Scientific Reports.
2022/06/14 I successfully defended my PhD Thesis “Analyzing the digital traces of individual and collective emotional behavior”.
2022/03/18 “Using Social Media Data to Capture Emotions Before and During COVID-19” under the lead of Hannah Metzler was published as a chapter of the “World Happiness Report 2022”.
2021/12/30 “Emotional talk about robotic technologies on Reddit: Sentiment analysis of life domains, motives, and temporal themes” under the lead of Nina Savela was published in New Media & Society.
2021/11/18 Check out our book chapter “Social media data in affective science” that was published in Handbook of Computational Social Science, Volume 1.
2021/5/27 “Emotional reactions to robot colleagues in a role-playing experiment” under the lead of Nina Savela was published in International Journal of Information Management.


Time series of the level of anxiety, anger, sadness and positive emotion expression compared to the baseline in four selected countries. Collective Emotions during the COVID-19 Outbreak
Hannah Metzler, Bernard Rimé, Max Pellert, Thomas Niederkrotenthaler, Anna Di Natale & David Garcia
Emotion (2022)
[abs] [cite] [bibtex] [link]
Time series and scatter plots of the daily percentage of positive emotions reported in the survey and the aggregated sentiment of user-generated text on (as well as changes for both variables). Validating daily social media macroscopes of emotions
Max Pellert, Hannah Metzler, Michael Matzenberger & David Garcia
Scientific Reports (2022)
[abs] [cite] [bibtex] [link]
Titlepage of chapter. Using Social Media Data to Capture Emotions Before and During COVID-19
Hannah Metzler, Max Pellert & David Garcia
World Happiness Report 2022 (2022)
[abs] [cite] [bibtex] [link]
Data collection and inclusion process of robotic technology comments in Reddit. Emotional talk about robotic technologies on Reddit: Sentiment analysis of life domains, motives, and temporal themes
Nina Savela, David Garcia, Max Pellert & Atte Oksanen
New Media & Society (2021)
[abs] [cite] [bibtex] [link]
Time series of weekly proportion of sad and scared responses in YouGov and gender-rescaled sadness and anxiety score on Twitter based on dictionary analysis. Social media emotion macroscopes reflect emotional experiences in society at large
David Garcia, Max Pellert, Jana Lasser & Hannah Metzler
arXiv:2107.13236 [cs] (2021)
[abs] [cite] [bibtex] [link]
Word cloud generated from experimental condition participants’ negative texts. Emotional reactions to robot colleagues in a role-playing experiment
Nina Savela, Atte Oksanen, Max Pellert & David Garcia
International Journal of Information Management (2021)
[abs] [cite] [bibtex] [link]
Construction of a colexification network. Colexification Networks Encode Affective Meaning
Anna Di Natale, Max Pellert and David Garcia
Affective Science (2021)
[abs] [cite] [bibtex] [link]
Social Media Data in Affective Science
Max Pellert, Simon Schweighofer and David Garcia
Handbook of Computational Social Science, Volume 1: Theory, Case Studies and Ethics (2021)
[abs] [cite] [bibtex] [link]
Wordclouds for posts on showing the matched words in each category. Dashboard of sentiment in Austrian social media during COVID-19
Max Pellert, Jana Lasser, Hannah Metzler and David Garcia
Frontiers in Big Data (2020)
[abs] [cite] [bibtex] [link]
Changes in expressed valence and arousal on different timescales. The individual dynamics of affective expression on social media
Max Pellert, Simon Schweighofer & David Garcia
EPJ Data Science (2020)
[abs] [cite] [bibtex] [link]
Subjective probabilities prescribed by JC when the coin is fair (H5 ) and the certainty of evidence is constantly at 0.8 in a randomly selected simulation. Inference to the Best Explanation in Uncertain Evidential Situations
Borut Trpin and Max Pellert
The British Journal for the Philosophy of Science (2018)
[abs] [cite] [bibtex] [link]
This plot shows the replication of an earlier finding (Douven, 2013, p. 433): The explanationist is faster in assigning high subjective probability to the true bias. Collective Dynamics of Multi-Agent Networks: Simulation Studies in Probabilistic Reasoning
Max Pellert
Proceedings of the MEi: CogSci Conference 2017 (2017)
[abs] [cite] [bibtex] [link]
This figure shows variations of parameter λ. Are Heterogeneous Expectations a Viable Alternative to Rational Expectations in Economics?
Max Pellert
Proceedings of the MEi: CogSci Conference 2016 (2016)
[abs] [cite] [bibtex] [link]


10/2021 - Present

Assistant Researcher (Sony Computer Science Lab Rome)

Project “Information and social dialogue”

Understanding and improving the news ecosystem
(with Dr. Pietro Gravino, Sony Computer Science Lab Paris)

11/2017 - 06/2022

PhD (Medical University of Vienna)

PhD Program Medical Informatics, Biostatistics & Complex Systems

Analysing the digital traces of individual and collective emotional behaviour
(PhD Thesis, supervised by Prof. David Garcia, Faculty of Computer Science and Biomedical Engineering, Graz University of Technology)


M.Sc. (with distinction) (University of Vienna)

Middle European interdisciplinary master programme in Cognitive Science (MEi:CogSci)

Collective Dynamics of Multi-Agent Networks: Simulation Studies in Probabilistic Reasoning
(Master Thesis, supervised by Univ.-Lektor Dipl.-Ing. Dr. Paolo Petta, OFAI)


Bakk. rer. soc. oek. (University of Vienna)

Bachelor programme in Economics

Some Remarks on the Genesis of the Neoclassical Paradigm In Economics
(Bachelor Thesis I, supervised by ao. Univ.-Prof. Mag. Dr. Reinhard Pirker, Vienna University of Economics and Business)

Popper and McCloskey. Logic or Rhetoric of Science?
(Bachelor Thesis II, supervised by ao. Univ.-Prof. Mag. Dr. Karl Milford, University of Vienna)

Additional Research Experience

Technical University of Graz

Affiliation to the Computational Social Science Lab (CSS Lab)

Complexity Science Hub Vienna

During PhD studies located at the Complexity Science Hub Vienna

ERASMUS mobility semester at the University of Ljubljana, Slovenia

Collaboration with Borut Trpin on simulations in formal epistemology



NLP, sentiment analysis, web scraping, large-scale data analysis, (interactive) data visualization

Programming Languages

AWK, Bash, C, C++, CSS, HTML, JavaScript, LaTeX, Python, R

Natural Languages

German (native), English (fluent), Spanish (basic), French (basic), Italian (basic), Latin (proficient)


Linux, Windows, (macOS)


Sep 2021/2022 Introduction to Computational Social Science with Applications in R
Aleksandra Urman & Max Pellert
(GESIS Fall Seminar in Computational Social Science 2021/2022)

Intense one week block course teaching text analysis methods, web scraping, visualization and ethics of CSS research in an hands-on approach using R.

Jul 2022 Exercises in Computational Social Science using Python
(Summer Institute for Computational Social Science (SICSS) hosted in Aachen & Graz)

As part of the larger summer school program, teaching hands-on exercises in Python focusing on replicating data analysis pipelines from existing scientific publication and introducing transformer models for NLP.

Research Stays

May 2022 Santa Fe Institute
Mirta Galesic & Henrik Olson
(Santa Fe, New Mexico, U.S.)

Invited research stay at SFI for research collaboration, networking and giving a talk (


Feb - Oct 2022 TRACEWASTE
Susi Gutsche, SONY Computer Science Laboratories Rome, MAXXI – Museo nazionale delle arti del XXI secolo
The project is realized in the framing of the S+T+ARTS fellowship program “Repairing the Present”, Challenge Nr. 3 “BIG DATA AND THE CITY”. “Repairing the Present” is co-funded by the S+T+ARTS program of the European Union and co-comissioned by SONY CSL (Vittorio Loreto, Alessandro Londei, Bernardo Monechi and Matteo Bruno) in collaboration with MAXXI Roma.
Involvement in many steps of this Art & Science project, especially in data processing and visualization. Developed an interactive interface and map animation with the collected geospatial data using mapbox, and turf.js as part of the final project installation exhibited at MAXXI museo.


Oct 2022 Mind the Gap Diversity Award 2022
Graz University of Technology


December 14 – 14 2021 NeurIPS 2021
Virtual (Online)

Data Centric AI Workshop

November 16 – 17 2021 NATO Advanced Research Workshop
Rome (Italy)

Fighting disinformation in a pandemic world: the role of AI and cognitive sciences

July 27 – 30 2021 IC2S2 2021
Zürich (Switzerland)

7th International Conference on Computational Social Science (Talk: “Validating social media macroscopes of emotions”)

September 2 – 4 2019 Euro CSS 2019
Zürich (Switzerland)

European Symposium Series on Societal Challenges in Computational Social Science 2019: Polarization and Radicalization (Participant in the Science Slam)

July 17 – 20 2019 IC2S2 2019
Amsterdam (Netherlands)

5th International Conference on Computational Social Science (Poster: “Emotional expression dynamics in social media”)

July 10 – 13 2019 ISRE 2019
Amsterdam (Netherlands)

Conference organised by the “International Society for Research on Emotion” (Talk: “Analysing affective dynamics through sentiment in social media status updates”)

March 3 – 8 2019 Complexity Science Hub Vienna Winter School
Obergurgl (Austria)

One week intense winter school offering courses in network science, systemic risk, synthetic biology in complex systems and more

August 6 – 10 2018 Big Data Analysis in the Social Sciences
Budapest (Hungary)

Hands-on workshop by Pablo Barberá taking place at the European Consortium for Political Research (ECPR) Summer School

June 22 – 24 2017 MEi:CogSci Conference 2017
Budapest (Hungary)

(Pellert, 2017), presentation of the results of a 10 ECTS study project

June 6 – 9 2017 Summer School on Computational Methods and Simulation for Economics
Bochum (Germany)

Hands-on workshop with Marco Valente (University of L’Aquila) and Tommaso Ciarli (University of Sussex) on the “Laboratory for Simulation Development” (LSD,

January 25 – 26 2017 Workshop: Inferentialism, Bayesianism, and Scientific Explanation
Munich (Germany)

Talk: “Inference to the Best Explanation in Cases of Uncertain Evidence”

June 23 – 25 2016 MEi:CogSci Conference 2016
Vienna (Austria)

(Pellert, 2016), poster about the results of a 10 ECTS study project

June 2 – 5 2016 INET Workshop at Festival dell’Economia
Trento (Italy)

Seminar lectures by Barry Eichengreen (University of California, Berkeley)

March 4 – 11 2016 Interdisciplinary College
Günne (Germany)

Week-long, intense spring school on AI, Cognitive Science and beyond

May 29 – June 2 2015 INET Wokshop at Festival dell’Economia
Trento (Italy)

Seminar lectures by Joseph Stiglitz (Columbia University), Martin Guzman (Columbia University) and Steve Fazzari (Washington University of St. Louis)

August 8 – 10 2014 IMK-Workshop “Pluralismus in der Ökonomik”
Berlin (Germany)

Talk: “Popper und McCloskey: Konsequenzen der Kritik”

Last updated on 2022-11-22