Her scholarship takes place at the intersection of computational and data science methods as applied to the study of American religious history. Dr. Wieringa’s current research not only evaluates and develops computational methods for research in the Humanities but also considers the whole ecosystem of digital projects, from data creation to archiving and preservation.
Subject areas: computational and data science/digital humanities methods as applied to the study of American religious history
I focus on data curation, machine learning, and natural language processing with historical sources. I consider issues of AI ethics and the intersection of historical methods, focused on context and complexity, and the building of large-scale models.
