Profil Sarah Müller

Sarah Müller, M.Sc.

Wissenschaftliche Mitarbeiterin der Forschungsgruppe Big Data

 

  • Forschungspraktikantin, Institute of Behavioral Science and Technology (IBT), Universität St. Gallen (HSG)  01/2024 bis 04/2024
  • Wissenschaftliche Hilfskraft, Leibniz-Institut für Psychologie (ZPID), Trier, Forschungsbereich "Big Data in Psychology" 04/2020 bis 12/2023 
  • M.Sc. Psychologie 2024, Eberhard Karls Universität, Tübingen

 

Forschungsinteressen

Computational Psychology, Large Language Models, Moralpsychologie, Wohlbefinden, Mobile Sensing

 

Veröffentlichungen

Bittermann, A., Müller, S. M., & Rieger, J. (2022). PsychTopics: Wie man den Überblick über die Forschungslandschaft der Psychologie behält. Open Password, Doppelausgabe: # 1099 und #1100. https://www.infobroker.de/password-online/archiv/a-farewell-to-a-writer-willi-bredemeier-kollege-partner-freund-von-elisabeth-simon/

Bittermann, A., Batzdorfer, V., Müller, S. M., & Steinmetz, H. (2021). Mining Twitter to detect hotspots in psychology. Zeitschrift für Psychologie, 229(1), 3-14. https://doi.org/10.1027/2151-2604/a000437

Preprints

Müller, S. M., & Bittermann, A. (2023). Leveraging Social Media Data for Unobtrusive Measurement of Academics’ Well-Being. Open Science Framework. https://doi.org/10.31219/osf.io/957h8

Tagungsbeiträge

Bergmann, M., Müller, S. M., & Stachl, C. (2024, September). Activities of the (Un-)Happy: Investigating the Predictability of Life Satisfaction from Activity Patterns Captured with Smartphones. Vortrag auf dem Kongress der Deutschen Gesellschaft für Psychologie (DGPs), 16.-19. September 2024, Wien, Österreich.

Bergmann, M., Müller, S. M., & Stachl, C. (2024, Juli). Activities of the (Un-)Happy: Investigating the Predictability of Life Satisfaction from Activity Patterns Captured with Smartphones. Vortrag auf dem Harvard & UCL Summer Short Course, 15.-19. Juli 2024, Boston, Massachusetts, United States.

Müller, S. M. & Bittermann, A. (2023, October). Can 280 Characters Speak for Researchers? Leveraging Twitter Data for Unobtrusive Measurement of Academics’ Well-Being. Paper presented at METSTI 2023: Workshop on Informetric, Scientometric and Scientific and Technical Information Research, London, UK. http://dx.doi.org/10.23668/psycharchives.13561

Müller, S. M., Kotzur, M., & Bittermann, A. (2023, July). An Approach for Researcher Identification on Twitter Without the Need for External Data [Poster Presentation]. 19th International Society of Scientometrics and Informetrics Conference, Bloomington, Indiana, United States.

Bittermann, A., Müller, S. M., & Langer, P. (2023, May). Keeping Up with Psychological Science: PsychTopics – A Computational Assistance Tool for Researchers, Students, Journalists, and Policy-Makers. 4th Symposium on Big Data and Research Syntheses in Psychology, Frankfurt am Main, Germany.