Computational History - HIST2025
  • Overview
  • Instructions
  • Intro to R
  • Case-studies
    • The Paisley Prisoners (19th-c.)
    • Petitioning in Early Modern England
    • The 1860 Spanish Population Census
    • Reading and writing in the past
    • The State of the Union Presidential Speeches
    • Mapping life in Norway c. 1910
    • The Tudor Network of Letters
  • Coursework
  1. Additional material
  2. Further readings
  • Contents
  • 1. Describing the past
    • 1.1. Qualitative dimensions
    • 1.2. Numerical variables
    • 1.3. Comparing dimensions
    • 1.4. Textual information
    • 1.5. Mapping
  • 2. From sources to data
    • 2.1 Digitisation
    • 2.2 Data cleaning
  • 3. Dealing with uncertainty
  • 4. Writing history in Quarto
    • 4.1 PDFs
    • 4.2 Blogposts

  • Additional material
    • Other sources
    • Further readings
  1. Additional material
  2. Further readings

Further reading

For additional background on quantification in history, check the texts below:

  • Graham, Shawn, Milligan, Ian, Weingart, Scott and Martin, Kim (2022), The joys of big data for historians, in Exploring Big Historical Data. The Historians Macroscope (World Scientific; 2nd Edition), pp. 1-34.

  • Fourie, Johan (2023), Quantitative history and uncharted people, in Quantitative history and uncharted people. Case studies from the South African Past (Bloomsbury), pp. 1-32.

  • Lemercier, Claire and Zalc, Claire (2021), Back to the sources. Practicing and teaching quantitative history in the 2020s, Capitalism. A Journal of History and Economics, vol. 2, no. 2, pp. 473-508.

  • Blaxill, Luke (2023), Why do historians ignore digital analysis. Bring on the Luddites, The Political Quarterly, vol. 94, no. 2, pp. 279-289.

  • Jockers, Matthew L. (2013), Macroanalysis. Foundation, in Macroanalysis. Digital Methods and Literary History (University of Illinois Press), pp. 3-32.

See also the following blogposts:

  • Mullen, Lincoln: Behind, ahead (March 9, 2026).