Bastian Moritz Weitz
University of Amsterdam, Amsterdam, The Netherlands
Bastian.Weitz@gmail.com
sites.google.com/view/bastian-weitz
Education
2023 - Present
MSc Research in Psychology
University of Amsterdam, Amsterdam, The Netherlands
2021 - 2023
Research Fellow
Organizational Behavior, Stanford Graduate School of Business, U.S.A.
2018 - 2021
BSc in Psychology
University of Groningen, Groningen, The Netherlands
Research Interests
Social Cognition; Concepts and Categories; Person Perception; Social Identity; Intergroup Relations; Cognitive Neuroscience; Quantitative Methods
Research Experience
Research Assistant (Nov. 2023 - Present)
Dr. David Amodio, University of Amsterdam
· Actively supported the implementation of one experimental study exploring instrumental learning in face perception
· Learned to apply reinforcement learning models (and Bayesian cognition approaches) to social cognition research
Research Assistant (Sep. 2023 – Nov. 2023)
Dr. Seval Gündemir and Dr. Astrid Homan, University of Amsterdam
· Developed and implemented large scale literature search to identify conceptual gaps in the definition and measurement of workplace inclusion
· Received one on one training by a librarian on how to conduct systematic literature reviews according to PRISMA standards
Research Fellow (Sep. 2021 – June 2023)
Dr. Michele J. Gelfand, Stanford Graduate School of Business
· Led two research projects exploring 1) individual differences in the characteristics of latent concepts and how they shape person and norm perception and 2) the experiences of stigmatized individuals across cultures
· Conceptualized, designed studies, and implement data collection in cross-cultural research for several other projects
· Explored more advanced research methods and statistical tools such as machine learning, growth modelling, and neuroimaging
· Analyzed qualitative and quantitative data
· Collaborated with professors across the US, Netherlands, China and Turkey
Research Assistant (June 2019 – Aug. 2021)
Dr. Yasin Koc, University of Groningen
· Lead two research projects studying 1) the social dynamics of disparagement humor and 2) the reciprocal actions of collective guilt on collective action respectively
· Worked on two other projects 1) developing a scale to distinguish modern and traditional masculinities and 2) validating a theory on coping with the covid-19 pandemic
· Analyzed data using multilevel modelling and robust statistical estimation
· Collaborated with multinational teams with members from the Netherlands, Turkey, and Australia
Articles in Refereed Journals
Weitz, B., & Koc, Y. (2022). The effect of relational status on perceptions of gay disparagement humor. Current Psychology. https://doi.org/10.1007/s12144-022-03712-9
Select Works in Progress
Weitz, B., & Gelfand, M.J. (in prep.). A Fuzzy Concept Approach to Anti-Normative Behavior.
Weitz, B., Mohr, J., Wessel, J., Wang, M., Huang, C., Koc, Y., Fang, Y., Gelfand, M.J. (in prep.). Not All Closets Are Built the Same - The Experience of Stigma Across Cultures.
Weitz, B., & Koc, Y. (in prep.). Apologies Don’t End the Guilt - The Reciprocal Effect of Collective Apologies on Collective Guilt, Intergroup Attitudes and Support for Collective Action
Falben, J.K., Weitz, B., & Amodio D.M. (in prep.). Examining the Role of Feedback Timing in Face Processing Using a Reinforcement Learning Paradigm.
Lin, J., Weitz, B. & Gelfand, M.J. (in prep.). Examining the Perception of 40 stigmas across 30 Countries.
Dietz, M., Maloney, D., Weitz, B., & Koc, Y. (in prep.). Perceptions of Drug Users - Stereotypes and Prototypes.
Conference Presentations
Weitz, B., Koc, Y. (2023). Apologies Don’t End the Guilt - The Reciprocal Effect of Collective Apologies on Collective Guilt, Intergroup Attitudes & Support for Collective Action. Poster presentation at the 2023 Annual Convention of the Society for Personality and Social Psychology (SPSP)
Weitz, B., Koc, Y. (2023). Apologizing doesn’t kill the guilt: Advantaged group’s support for social change increases after apologizing to the disadvantaged group. Presentation at the 19th General Meeting of the European Association for Social Psychology (EASP)
Weitz, B., Koc, Y. (2021). Apologies Don’t End the Guilt - The Reciprocal Effect of Collective Apologies on Collective Guilt, Intergroup Attitudes & Support for Collective Action. Presentation at the 2021 Annual Meeting of the International Society for Political Psychology (ISPP)
Weitz, B., & Koc, Y. (2020). The Perception of Disparagement Humor about Gay Men Varies Across Relational Models. Presentation at 2nd Koc Social Identities Lab Mini Conference, June 18th, 2020, Online
Weitz, B., & Koc, Y. (accepted, 2021). The Perception of Disparagement Humor about Gay Men Varies Across Relational Models. Poster presentation at 19th General Meeting of the European Association for Social Psychology (EASP) (The conference was cancelled due to SARS-CoV-2)
Service & Other Experience
2022 - Present
Founder and co-organizer of the Social Cognition Meet Up (sites.google.com/view/studentsinsocialcognition)
2023
Reviewer for submissions to the 2023 Annual Meeting of the Academy of Management (AOM)
2019 - 2020
Research Collaboration with MTO Psychologische Forschung und Beratung, Tübingen, Germany
Topic: Developing Competency Analysis Tool for Refugee Students in Germany
Teaching Experience
Spring 2021
Teaching Assistant for PSB3E-SPO2 - Intergroup Relations, Department of Social Psychology, University of Groningen
2020 - 2021
Private statistics tutor to six students with differing levels of knowledge, Groningen
Languages
German (Native), English (Proficient), Dutch (Beginner), Latin (Beginner), Cantonese (Elementary)
Statistical Skills
Statistical analyses: Parametric and non-parametric tests of variance (e.g. ANOVA, Kruskal Wallis); general and generalized linear and mixed models; exploratory and confirmatory factor analysis; robust statistical estimation; Bayesian hypothesis testing; power analysis; applied machine learning; causal inference; time series and growth models; interpretation of genome sequencing data; interpretation of (f)MRI data.
Programming languages: R, Matlab, Python
Relevant Software: SPSS, JAMOVI, JASP, G*Power, PsychoPy, Qualtrics, Adobe Photoshop, Blender, Rayyan.ai, Zotero, LaTeX (via Overleaf)