Folgert Karsdorp · computational cultural evolution

Fragments of Cultural Change.

Each lit page is a publication. Hover to find one, click to take it out.Each lit page is a publication. Tap one to find it.

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I’m a researcher and head of the Ethnology, Everyday Culture & Society (EECS) department at the Meertens Institute of the Royal Netherlands Academy of Arts and Sciences, and Professor of Computational Methods for the Study of Cultural Change at Utrecht University. My research addresses questions about how culture spreads, develops, and disappears, drawing on computational and quantitative methods from ecology, population genetics, and machine learning, with particular attention to methodological challenges in analyzing biased historical collections and measuring cultural diversity and loss.

Worlds to walk through

Experiments in making games out of cultural heritage collections. Every tale, card and song book you meet in them is a real record from the archive.

Fragments

Notebooks on counting what the record leaves out: unseen species models, coverage, and the biases of the archives we inherit.

  1. Two ends of a folktale archive: Sagenland and Nachtdienst Two browser games built from the Dutch Folktale Database: collect legends in the field in Sagenland, then file them at the archive by night in Nachtdienst. Interactive
  2. 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 the true diversity ratio. Interactive
  3. What Shall We Do with the Unseen Sailor? Applies unseen species models to VOC historical records to estimate the true number of sailors missing from the archive. 8 min read
  4. Estimating Unseen Shared Cultural Diversity Extends unseen species models to estimate the shared diversity between two cultural collections — how many artefacts they have in common that neither has observed. 11 min read
  5. Population Size Estimation as a Regression Problem Reframes population size estimation as a Bayesian regression problem to correct for heterogeneous detection probabilities in cultural samples. 12 min read
All fragments