Mike Kestemont

@mikekestemont.bsky.social

Professor of Computational Humanities at the University of Antwerp. I work on cultural ecology and medieval literature. I love cooking outdoors. Brussels based. Python.

One appendix result I really like is that standardizing to equal size, rarefaction, is often worse than not correcting at all… Even more so when collections are biased. Here too, coverage holds up surprisingly well.

The fix comes from paleontology: compare on shared completeness (which comes from Turing!) rather than sample size. Really impressive is that ~30 items already recovers the true ratio. Bias the collection yourself and see which method survives: www.karsdorp.io/posts/202606...

Comparing diversity under collection bias

An interactive companion to our Royal Society Interface paper on collection bias: set up two assemblages, bias how their records were collected, and see which standardization strategy still recovers t...

karsdorp.io

Did one era really have more stories, songs, or tools than another, or was it just better recorded? When collections are built unevenly, diversity comparisons can measure the collectors instead of the cultures. Our new paper is about how to fix that.

Correcting collection bias in comparative studies of diversity

Abstract. Comparative analyses of diversity in human populations often rely on historical, archival and observational data, which are systematically shaped

doi.org

Wat zijn we ontzettend trots op Korneel! Als zijn begeleiders mochten @mikekestemont.bsky.social en ik van dichtbij meevolgen hoe hij zich vastbeet in de 14de-eeuwse oorkonden van Jan van Boendale. Proficiat met dit indrukwekkende traject en de verdiende eerste plaats, Korneel! 🎉

Remco Sleiderink@remcosleiderink.bsky.social · 6mo ago

Breaking: Korneel Dewulf (16) wint Olympiade Nederlands 🥇 met onderzoek naar de 14de-eeuwse oorkonden van de Antwerpse dichter Jan van Boendale www.hln.be/eeklo/kornee...

Join me for AI and Image Analysis at ESU DH 2025 in Besançon, France in July! The one week course will introduce AI methods such as object detection and MLLMs for analyzing images such as art, manuscripts, photography, and film. More details here: esudh.github.io

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