Last updated: 2023-06-04
Currently, I am working as a Senior Lecturer (Mâitre-assistant) & Data Scientist at the Swiss Center for Affective Sciences (University of Geneva, Switzerland). I consider myself a cultural and political psychologist, broadly defined. Working at the intersection of a variety of fields in the cultural, social, and behavioral sciences, I adopt an integrative perspective to the study of intercultural, interspecies, and human-environment relations in which I employ methods from cultural, social, and environmental psychology, political science, and sociology—while incorporating theoretical insights from emerging perspectives in anthropology. In my research I employ qualitative as well quantitative methods. Topics of particular interest to me are social and ecological (in)equality, climate change, speciesism, pro-environmental behaviors, anthropocentrism, misinformation and conspiracy beliefs, prejudice and discrimination, well-being, and political ideologies amongst others.
My research has been featured in the Washington Post, Die Welt, Der Spiegel, Varsity, and other outlets.
If you are interested in my research, please visit
Uenal, F., Sidanius, J., Maertens, R., Hudson, S. K. T., Davis, G., & Ghani, A. (2022). The roots of ecological dominance orientation: Assessing individual preferences for an anthropocentric and hierarchically organized world. Journal of Environmental Psychology, 81, 101783. DOI. Impact Factor: 7.65
Uenal, F., Sidanius, J., & van der Linden, S. (2022). Social and ecological dominance orientations: Two sides of the same coin? Social and ecological dominance orientations predicting decreased support for climate change mitigation policies. Group Processes & Intergroup Relations, 25(6), 1555-1576. DOI. Impact Factor: 2.71
Basol, M., Roozenbeek, J., Berriche, M., Uenal, F., McClanahan, W. P., & Linden, S. V. D. (2021). Towards psychological herd immunity: Cross-cultural evidence for two prebunking interventions against COVID-19 misinformation. Big Data & Society, 8(1). DOI. Impact Factor: 8.73
Uenal, F., Sidanius, J., Roozenbeek, J., & van der Linden, S. (2021). Climate change threats increase modern racism as a function of social dominance orientation and ingroup identification. Journal of Experimental Psychology, 97, 104228. DOI. Impact Factor: 3.53
Uenal, F., Bergh, R., Sidanius, J., Zick, A., Kimel, S., Kunst, J. (2020). The nature ofIslamophobia:A test of a tripartite view in five countries. Personality and Social Psychology Bulletin (Online First). DOI. Impact Factor: 4.56
Uenal, F. (2016a). Disentangling Islamophobia: The differential effects of symbolic, realistic, and terroristic threat perceptions as mediators between social dominance orientation and Islamophobia. Journal of Social and Political Psychology, 4(1), 66–90. DOI. Impact Factor: 1.84
Uenal, F. (2016b). The “Secret Islamization” of Europe: Exploring integrated threat theory for predicting Islamophobic conspiracy stereotypes. International Journal of Conflict and Violence, 10(1), 93–108. DOI. Impact Factor: 0.58
Uenal, F. (2016c). Islamophobia & Anti-Semitism. Comparing the social psychological underpinnings of Anti-Semitic and Anti-Muslim Beliefs in Contemporary Germany. Islamophobia Studies Journal, 3(2), 35–55. DOI. Impact Factor: 0.94
Hudson, S.K.T. & Uenal, F. (2023). The connections between personality, ideology and (counter-)empathic emotions depend on the target. Journal of Personality. DOI. Impact Factor: 5.43
Uenal, F. (2023). Die geheime Islamisierung des Abendlandes. Großgruppen Verschwörungstheorien als Nährboden von Fremdgruppen Diskriminierung und Rechtspopulismus. Journal für Psychologie. DOI. Impact Factor: 1.53
Uenal, F., Pagel, L., Spampatti, T., & Brosch, T. (2023). A systematic review and meta-analysis of communication interventions to promote climate change mitigation. For submission to: Nature Human Behaviour. Impact Factor: 24.25
Uenal, F., Kunst, J., Hudson, S.K.T, Badloe, S., & Brosch. T (2023). Predictors of climate change policy preferences: A machine learning approach. For submission to: Global Environmental Change. DOI.
Impact Factor: 11.16
Uenal, F., Wac, K., & Brosch. T (2023). Cross-cultural differences in wellbeing. Social-psychological and cultural determinants analysis using machine learning.
Uenal, F., Pagel, L., & Brosch. T (2022). How to communicate about climate change: A concise guide. A step-by-step decision chart for more effective, equitable, and fair climate change communication in the context of individual behaviour change. Geneva: Center for Affective Sciences, University of Geneva. Link.
Uenal, F., Pagel, L., & Brosch. T (2022). Review of Climate Change Communication and Behavioural Intervention Strategies to Maximise Behavioural Impact. Geneva: Center for Affective Sciences, University of Geneva. Link.
Roig, E. & Uenal, F. (2019). Intersektionalität in Deutschland, Chancen, Lücken und Herausforderungen. A Report by Center for Intersectional Justice e.V. and DeZIM e.V. Berlin. DOI.
Languages | ||
German | Native Speaker | |
Turkish | Native Speaker | |
English | Proficient User | |
Arabic | Basic User | |
French | Basic User | |
Programming | ||
R | Advanced | |
Python | Intermediate | |
Docker | Intermediate | |
SQL | Beginner | |
Statistical Software | ||
SPSS | Advanced | |
STATA | Intermediate | |
AMOS | Intermediate | |
G*Power | Intermediate | |
Data collection | ||
Qualtrics | Advanced | |
MTurk | Intermediate | |
Prolific | Intermediate | |
G*Gorilla.sc | Intermediate |
Machine Learning | |
Supervised learning | |
Unsupervised learning | |
Reinforcement learning | |
Natural Language Processing | |
Artificial Neural Nets | |
K-means | |
Hierarchical cluster | |
Linear discriminant analysis | |
Quadratic discriminant analysis | |
Principal Components Analysis | |
Boosting | |
Bagging | |
Random forests | |
Support Vector Machine | |
Cross-validation | |
Statistics | Probability |
Bayesian Statistics | |
Univariate Analysis | |
Multivariate Analysis | |
Time-series Analysis | |
Structural Equation Modeling | |
Confirmatory Factor Analysis | |
Psychometrics | |
A/B Testing | |
Experimental Survey Analysis | |
Population-Based Survey Analysis | |
Data Analsysis & Communication | |
Modeling | |
Hypothesis Testing | |
Wrangling | |
Data Visualization | |
Presentation |