Thrilled to share that my book Cultural Data Science – An Introduction to R is finally out! A journey through digital methods, visual culture & data analysis—made for everyone exploring the intersection of humanities and code.
Thrilled to share that my book Cultural Data Science – An Introduction to R is finally out! A journey through digital methods, visual culture & data analysis—made for everyone exploring the intersection of humanities and code.
Discover Cultural Data Science – An Introduction to R by Harald Klinke
A hands-on guide to digital methods in image-based humanities, combining quantitative and qualitative analysis for a global DH audience.
Now part of the Quantitative Methods in the Humanities and Social Sciences series.
Order now: https://link.springer.com/book/9783031881305
Promo code: SPRAUT (20% off)
#DigitalHumanities #CulturalData #RStats #DataScience #ArtHistory #OpenScience #QuantMethods #SpringerNature
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
Just gave a talk at the University of Oregon on my book.
Thanks to @Mulderc and everyone attending for the warm welcome and thoughtful questions!
We discussed:
– The shift from digitization to computational analysis
– Bias in cultural datasets and the importance of critical reflection
– Why learning to code (R or Python) still matters—even in the age of AI
Digital methods won’t replace traditional humanities—but they can enrich and transform them.
Just arrived in print: Cultural Data Science: An Introduction to R
The book offers a hands-on path into data analysis for the humanities—using R to explore museum collections, visual culture, and digital methods.
With a foreword by Lev Manovich and published by Springer Nature.
More here:
https://link.springer.com/book/10.1007/978-3-031-88130-5
#CulturalDataScience #DigitalHumanities #RStats #OpenData #ArtHistory #BookRelease