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.
2021/5/15 “Colexification Networks Encode Affective Meaning” under the lead of Anna Di Natale was published in Affective Science.
2020/8/11 Our article “Dashboard of sentiment in Austrian social media during COVID-19” was accepted for publication in Frontiers in Big Data.
2020/4/22 Check out our dashboard of the response to COVID-19 in Austrian social media @
2020/1/9 Our article “The individual dynamics of affective expression on social media” was published in EPJ Data Science.


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 - Present

cand. 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)

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


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
arXiv:2108.07646 [cs] (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]
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
PsyArXiv (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]



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

Programming Languages

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

Natural Languages

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


Linux, Windows, (macOS)


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

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


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 2021-12-01