Multiple Linear Regression (MLR) on Wave 6 of the World Values Survey (WVS) data
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Updated
Jun 10, 2020 - R
Multiple Linear Regression (MLR) on Wave 6 of the World Values Survey (WVS) data
Mapping the cultural alignment of open-weight LLMs onto the Inglehart-Welzel cultural map, refitted from the Integrated Values Surveys
Exploring cultural variations in moral judgments with large language models — World Values Survey & PEW analysis (CLIN Journal, in press)
Predicting happiness across 57 countries using World Values Survey data and Random Forest.
EvalMORAAL: chain-of-thought and LLM-as-judge evaluation of moral alignment in LLMs (*SEM 2026). pip-installable evaluation framework.
Analysis code and report for WVS smartphone study
Hierarchical clustering and cultural index analysis on World Values Survey data (97k+ observations) with MDS, SOM, and socioeconomic correlation study.
Measuring whether large language models faithfully represent the cultural contexts of users who query them in their own languages.
Interactive dashboard comparing five political psychology constructs (authoritarianism, social dominance, economic statism, migration openness, ethnocentrism) across 66 countries, built from World Values Survey Wave 7 microdata with a reproducible R pipeline. Content in Spanish
Repository for the Groundwater Commons Game (GCG)
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