Kalani Craig, Ph.D.

Fall 2024: Digital History Theory and Methods

Table of Contents

Course Modules


Week 1: An intro to Digital History

  1. Week 1 Discussion: where do we start?
  2. Week 1 Lab: Early-stage exploratory analysis
  3. Week 1 Data Mgmt: what will we do?
  4. Get To Know You Survey
  5. Digital History Writing Group Scheduling Poll

    Week 2: The Historiography of Digital History

  6. Week 2 Overview
  7. Week 2 Reading and Discussion
  8. Week 2 Lab: Text Editors and Regular Expressions (or how to do fancy searches)

    Week 3: Teaching Digital History

  9. Week 3 Overview
  10. Week 3 Reading and Discussion
  11. Week 3 Lab: Low-Barrier Approaches to Digital History
  12. Project-goal word barf

    Week 4: Text Echoes

  13. Week 4 Overview
  14. Week 4 Reading and Discussion
  15. Week 4 Lab: AntConc, Voyant, and other corpus-linguistics tools

    Week 5: Text Clustering

  16. Week 5 Overview
  17. Week 5 Reading and Discussion
  18. Week 5 Lab: Google Co-Lab approaches to topic modeling
  19. Table-based Project Proposal
  20. Collaborative Data Week 5 Allen

    Week 6: Maps

  21. Week 6 Overview
  22. Week 6 Reading and Discussion
  23. Week 6 Lab: Simple geo-referencing and map-building with KnightLabs StoryMaps.js

    Week 7: Networks

  24. Week 7 Overview
  25. Week 7 Reading and Discussion
  26. Week 7 Lab: Relational data and relationships in networks
  27. Collaborative Data Week 7 Aristeguieta

    Week 8: Data Visualization

  28. Week 8 Overview
  29. Week 8 Reading and Discussion
  30. Week 8 Lab: Data and Data Visualization
  31. Collaborative Data Week 8 Streett

    Week 9: Community Engaged Digital History

  32. Week 9 Overview
  33. Week 9 Reading and Discussion
  34. Week 9 Lab: Digital Community Archive Project Management
  35. Collaborative Data Week 9 Garza

    Week 10: Digital material culture

  36. Week 10 Overview

    Week 11: Localized and Embodied Digital History

  37. Week 11 Overview

    Week 12: Text and AI

  38. Week 12 Overview
  39. Week 12 Reading and Discussion
  40. Week 12 Lab: Using Generative AI
  41. Collaborative Data Week 12 Wells

    Week 13: Images and machine-learning AI

  42. Week 13 Overview
  43. Week 13 Reading and Discussion
  44. Week 13 Lab: Machine-learning computer-vision classification

    Week 14: Sustainability and publication platforms

  45. Week 14 Overview

    Week 15: Project Management and Ethics

  46. Week 15 Overview

    Week 16: Historical Argumentation in Digital History (or: How I Learned To Love Final Projects)

  47. Week 16 Overview

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