This project aims to preserve Ukraine's cultural heritage through photogrammetry and 3D modeling, documenting and reconstructing damaged UNESCO-protected sites. The first step focuses on Odessa, with advanced digital tools integrating archival data to support accurate restoration, safeguard cultural identity, and contribute to post-war recovery and legacy preservation.

This study uses pose detection algorithms to analyze gendered representations in Renaissance art (1450–1600), focusing on leg spread, head tilt, and pose dynamism. Results reveal minimal gender differences in activity levels, challenging assumptions of the active/passive dichotomy. The findings underscore the potential of computer vision in re-evaluating art historical theories.

This paper presents empirical demonstrations of register effects for political discourse, literary analyses, L2 pedagogy, gender studies, and legal interpretation and aims to foster a discussion around how linguistic research on register contributes to interdisciplinary endeavors in digital humanities. Case studies use authentic language data and quantitative corpus linguistic methods.

This paper uses literary references on the quiz show Jeopardy! as a proxy to measure literary canonicity in the United States over the preceding forty years.

Seeking boundary objects within a feminist literary historical dataset, we created a context diversity measure that reflect the situatedness of the data and dampens the effects of canonization in a network graph of relationships among ~1500 women authors, outperforming other measures of significance in graphs when it comes to identifying less canonical figures.