Cultivating Expertise

Building the next generation of computational art historians

The future of art history depends on researchers who are fluent in both traditional scholarship and computational methods. VeraCorpus offers hands-on opportunities for emerging scholars to develop this rare combination of skills.

A Missing Generation

Art history departments train excellent scholars. Computer science departments train excellent engineers. Almost no institution trains people who are both — researchers who can read a sixteenth-century inventory in Latin and also design a data pipeline to process ten thousand of them. This gap is not merely inconvenient; it is existential for the field. Without a new generation of bilingual researchers, the promise of computational art history will remain permanently unfulfilled.

VeraCorpus is committed to helping close this gap, not by offering courses, but by offering experience. The best way to learn interdisciplinary work is to do it, embedded in a team that is already doing it, on problems that matter.

Research Placements

We offer structured placements for graduate students and early-career researchers from both the humanities and the technical sciences. Placements are project-based: each participant joins an active research programme with clear objectives, works alongside both technical and scholarly colleagues, and leaves with a tangible contribution to the field — not just a line on a CV.

Placements typically last three to six months and can be structured around academic calendars. We are flexible about location and can accommodate remote participation where the nature of the project allows.

What Participants Gain

Our placements are designed to build skills that are difficult to acquire in a purely academic setting:

For humanities researchers — practical experience with data modelling, machine learning workflows, and computational analysis, taught in the context of art-historical questions they already understand.
For technical researchers — deep exposure to a domain where data is messy, ambiguous, and culturally charged, requiring judgment and interpretation that purely technical training does not provide.
For both — the experience of genuine interdisciplinary collaboration, including the communication skills and intellectual flexibility it demands.

Get Involved

If you are a graduate student, postdoctoral researcher, or early-career professional interested in the intersection of computation and art history, we would like to hear from you. We are also open to conversations with university departments and doctoral programmes about structured partnerships.

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