Navigation auf uzh.ch

Suche

Psychologisches Institut Kognitive und verhaltensbasierte Entscheidungswissenschaften

Themen für Bachelorarbeiten

  • Themenvergabe durch OLAT
    Please note that you may only book the module after having contacted the supervisor of a specific project. When booking the module, please indicate Prof. Dr. Renato Frey as the main supervisor and the person listed for a specific project (see below) as co-supervisor.
    Betreuungsperson der Bachelorarbeit: Prof. Dr. R. Frey

Übersicht der Bachelorarbeitsthemen dieser Professur

Durch Klick auf die einzelnen Themen werden die Detail-Informationen angezeigt.

 


offen:

  • Psychological processes in risky choice

    Beschreibung: What are the cognitive, affective, social processes underlying people's choices under risk and uncertainty? In particular, which processes may relate to inter- and intra-individual variability in risky choices?
    Kontakt: Olivia Fischer / Aaron Lob, E-Mail

    [ Themenbereich ]
    Status: offen (erfasst / geändert: 07.08.2023)
  • Risky choice in and out of the lab

    Beschreibung: Traditionally, the behavioral sciences have studied risky choices using structured paradigms and / or hypothetical scenarios in artificial lab settings. But to what extent does this approach indeed generalize to how people make choices under risk and uncertainty in real life, and how can we measure and model risky choices "in the wild"?
    Kontakt: Olivia Fischer / Aaron Lob, E-Mail

    [ Themenbereich ]
    Status: offen (erfasst / geändert: 07.08.2023)

 


vergeben:

  • Risk perception: Cognitive models of opinion change

    Beschreibung: How do people perceive risks and update their perceptions in light of diverging views? Theories of opinion change are often verbal and the proposed mechanisms are rarely modeled. In this thesis, you will review the literature on cognitive and computational models of opinion change. Recommended reading: - Bramson, A., Grim, P., Singer, D. J., Berger, W. J., Sack, G., Fisher, S., Flocken, C., & Holman, B. (2017). Understanding Polarization: Meanings, Measures, and Model Evaluation. Philosophy of Science, 84(1), 115?159. https://doi.org/10.1086/688938 - Flache, A., Mäs, M., Feliciani, T., Chattoe-Brown, E., Deffuant, G., Huet, S., & Lorenz, J. (2017). Models of Social Influence: Towards the Next Frontiers. Journal of Artificial Societies and Social Simulation, 20(4), 2. https://doi.org/10.18564/jasss.3521
    Anzahl Arbeiten für dieses Thema:
    Zeitrahmen:
    Eingabedatum: 27.07.2022
    Kontakt: Olivia Fischer, E-Mail

    Status: vergeben (erfasst / geändert: 07.08.2023)
  • How can we measure polarization of risk perceptions?

    Beschreibung: There are vast literatures on polarization and risk perception, but the two topics are rarely combined. In this thesis, you will review the relevant literature and address the research question by integrating the measurement approaches of polarization and risk perception. - Bramson, A., Grim, P., Singer, D. J., Berger, W. J., Sack, G., Fisher, S., Flocken, C., & Holman, B. (2017). Understanding Polarization: Meanings, Measures, and Model Evaluation. Philosophy of Science, 84(1), 115?159. https://doi.org/10.1086/688938 - Moussaïd, M., Brighton, H., & Gaissmaier, W. (2015). The amplification of risk in experimental diffusion chains. Proceedings of the National Academy of Sciences, 112(18), 5631?5636. https://doi.org/10.1073/pnas.1421883112
    Anzahl Arbeiten für dieses Thema:
    Zeitrahmen:
    Eingabedatum: 27.07.2022
    Kontakt: Olivia Fischer, E-Mail

    Status: vergeben (erfasst / geändert: 07.08.2023)