Research at the intersection of computation and theology
“Deepfakes,” synthetic media generated by deep neural networks, have become increasingly common in many sectors, from social media, edtech, and business marketing to museum exhibitions. This trend raises ethical concerns about voice and image manipulation. While much ink has been spilled on the topic of AI and ethics, the application of deepfakes to historical figures warrants further scrutiny. Unlike living subjects, historical figures cannot contest replications of their image and voice. This historical silence makes ethical considerations crucial. In light of “posthumous creativity,” scholars are now rethinking originality, authenticity, and intellectual property.
Syriaca.org: The Syriac Reference Portal is a digital project for the study of Syriac literature, culture, and history. Today, a number of heritage communities around the world have linguistic, religious or cultural identities with roots in Syriac language and culture. Syriaca.org exists to document and preserve these Syriac cultural heritages. The online tools published by Syriaca.org are intended for use by a wide audience including researchers and students, members of Syriac heritage communities and the interested general public. In order to meet the diverse needs of users, the design of Syriaca.org is inherently collaborative and fluid.
Theology is fed by complex processes of reception and interaction with the theological tradition. Lines of reception are exemplified in research and shape the self-perception of theology and its themes, traditions and canonical texts. The MapTheo project aims to use digital research methods to map and analyze the topics, lines of reception and formation of tradition in theology on the basis of publications in journals, monographs and anthologies.
This project explores how generative AI can lower barriers for volunteer editors working on content gaps and marginalized topics on Wikipedia, enabling them to create stub articles that they can then edit manually. The goal is to assist with onboarding new editors while keeping human editorial judgment and community norms central to content creation and review. The project’s ultimate purpose is to make Wikipedia more inclusive and equitable by amplifying underrepresented voices and subject matter through thoughtful human-AI collaboration.