This PhD defense presents computational approaches to human behavior across two domains. First, a construct-mining pipeline uses open-ended responses, sentence embeddings, debiasing, HDBSCAN clustering, and intrusion validation to derive a data-driven taxonomy of emotion regulation strategies. Second, mixed-methods and classifiers analyze German Twitter, linking counter-speech styles to hate reduction at scale.
2026
This research examines how beneficial ownership registers can expose corruption in public procurement. By analyzing data quality, corruption adaptation strategies, and ownership complexity, it shows how gaps and missing data can be used to detect fraud and design smarter anti-corruption efforts, ensuring public funds reach essential healthcare.