c2s-2026-talk/README.md

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# Bridging Scales in Cultural Evolution
**C2S 2026 — Computational Cultural Science Workshop**
École nationale des Chartes PSL, Paris, 1819 May 2026
## Abstract
Computational approaches have provided powerful tools to better understand culture. By allowing us to mine large datasets and extract meaningful patterns even in the absence of established theory, methods such as machine learning, Bayesian inference, network analysis, and dimensionality reduction have proven transformative. Yet these approaches remain biased toward certain types of data and scales of analysis. We propose combining agent-based modelling with these computational methods to test hypotheses at the mesoscale: processes unfolding at the regional level over millennia.
## Compile
```bash
lualatex slides-c2s-2026.tex
```
Requires: IBM Plex fonts, metropolis beamer theme, LuaLaTeX.
## Author
Simon Carrignon — UCL GEE / CDAL / ENCOUNTER / UGI
s.carrignon@ucl.ac.uk