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.
This study modeled wild edible mushroom yields in Mediterranean forests using Planet satellite imagery, LiDAR, climate data, and field measurements. Results show that seasonal NDVI differences, precipitation, and forest structure are key predictors. Integrating high-resolution intra-annual remote sensing significantly improves yield prediction and ecological understanding.