In case you're wondering about this thread:
I'm currently researching additional resources to complement my book Cultural Data Science: An Introduction to R.
They’ll also be listed on my website alongside the publication:
https://link.springer.com/book/10.1007/978-3-031-88130-5

And another hint on my little project:
Museums Open Data – a searchable interface to explore open datasets from museums around the world.
Built to support digital research in the arts.
http://dev.harald-klinke.de/MuseumsOpenData/

An old favourite of mine:
X Degrees of Separation by Google Arts & Culture explores unexpected visual connections between artworks using image similarity algorithms.
Still a fascinating experiment in computational curation.
https://artsexperiments.withgoogle.com/xdegrees/

And what about this:
Mapping Paintings visualizes the provenance of artworks across time and space. A compelling example of how art history and digital mapping come together.
https://www.mappingpaintings.org/

Have you seen this?
Closer to Van Eyck offers stunning high-resolution images and technical studies of the Ghent Altarpiece — a landmark in digital art history and conservation.
https://closertovaneyck.kikirpa.be/

I'm sure you already know it — but if not: it's great.
The International Journal for Digital Art History offers open-access research at the intersection of art, data, and technology.
https://dahj.org/

This might be for you: the Digital Art History Society
Connecting art history to the digital world through research, teaching, and community.
Learn more: https://digitalarthistorysociety.org/

Ever heard of the Digital Art History Directory?
The ARLIS/NA DAHD is a registry of digital art history projects that supports discovery, teaching, and long-term sustainability across institutions of all sizes.
Explore here: https://www.arlisna.org/digital-art-history-directory

Maybe you're interested in this short course:
Watermarks & Computational Art History
Hosted by the RKD – Netherlands Institute for Art History
Details here: https://www.rkd.nl/en/current/events/short-course-watermarks-computational-art-history

If you're exploring #DigitalArtHistory or #CulturalDataScience, Matthew Lincoln’s blog is a rich resource on data, code, and visual culture in research.
Highly recommended!
https://matthewlincoln.net/

Learn how to explore museum collections, image datasets & cultural networks using R—no prior coding needed.
Democratizing data in the humanities, one line of code at a time.

#DigitalHumanities #DataScience #ArtHistory #RStats #DigitalArtHistory

Read: https://link.springer.com/content/pdf/bfm:978-3-031-88130-5/1

New CFP: What Do (Digital) Images Want? Join us in exploring a decade of data, power & visual knowledge!
#DigitalArtHistory #AI #VisualCulture #CFP #DH #ArtHistory
https://dahj.org/cfp/11

Also by her:
“Writing and Reading Digital Art History” by Ana Knežević examines the evolution of art history in the digital age, highlighting changes in media while arguing that core methodologies remain unchanged. It explores authorship, collective writing, and distant reading in digital projects.

https://www.academia.edu/38335846/Writing_and_Reading_Digital_Art_History