Coursebooks

History and the digital

DH-412

Lecturer(s) :

Baudry Jérôme

Language:

English

Summary

The course will present a number of computational approaches and tools that can be used to study history. Drawing on case studies from the history of science and technology, the course will also offer students the opportunity to critically reflect on their own practices as digital humanists.

Content

The development of information technologies and the rise of the digital humanities have opened new, exciting avenues for historical research and for the engagement of historians with the public. History and the digital have intersected in ways that, first, reconfigure historical research through the extensive digitization of sources and the creation of computational tools to process historical data (¿digital history¿); second, offer a wealth of new objects for historical research (¿historicizing the digital¿). Accordingly, the course proposes not only to survey the main computational approaches and methods that can be used to study history, but also, drawing on a series of case studies from the history of science and technology, to critically reflect on what it means to think digitally. Students will develop small-group projects in digital history and will document their research in a final paper.

Week 1. General introduction: What is History?

Week 2. Human vs. Natural Sciences

Week 3. Towards Big Data? Digitized and Born-Digital Sources in History

Week 4. History of Information Overload

Week 5. Network Analysis

Week 6. Multiple Component Analysis & Logistic Regression

Week 7. Trust in Numbers: Quantifying the World

Week 8. Data Visualization

Week 9. Picturing Science: Drawings, Graphs, Diagrams

Week 10. Text Analysis

Week 11. Crowdsourcing & Citizen Science

Week 12. Science, the Public, and Invisible Technicians

Week 13. Virtual Museums

Week 14. Project presentations

Learning Prerequisites

Required courses

None

Recommended courses

None

Learning Outcomes

By the end of the course, the student must be able to:

Teaching methods

Lectures (2 hours per week)

Student projects + discussion of readings (3 hours per week)

Expected student activities

Students are expected to attend lectures, read the assigned articles, participate actively to class discussions, design and conduct projects in small groups.

Assessment methods

Class discussion (25%)

Project (50%)

Final paper (25%)

Supervision

Office hours Yes
Assistants Yes
Forum Yes

Resources

Bibliography

Lisa Gitelman (ed.), ¿Raw Data¿ is an Oxymoron, Cambridge, Mass.: MIT Press, 2013.

Shawn Graham, Ian Milligan and Scott Weingart, Exploring Big Historical Data, The Historian's Macroscope, London: Imperial College Press, 2015.

Jo Guldi and David Armitage, The History Manifesto, Cambridge: Cambridge University Press, 2014.

Ian Milligan, ¿Mining the `Internet Graveyard¿: Rethinking the Historian¿s Toolkit,¿ Journal of the Canadian Historical Association, 23(2), 2015: 21-64.

Ressources en bibliothèque

In the programs

  • Digital Humanities, 2019-2020, Master semester 1
    • Semester
      Fall
    • Exam form
      During the semester
    • Credits
      5
    • Subject examined
      History and the digital
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Project
      3 Hour(s) per week x 14 weeks
  • Digital Humanities, 2019-2020, Master semester 3
    • Semester
      Fall
    • Exam form
      During the semester
    • Credits
      5
    • Subject examined
      History and the digital
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Project
      3 Hour(s) per week x 14 weeks

Reference week

MoTuWeThFr
8-9
9-10
10-11
11-12
12-13
13-14 CE1103
CM1113
14-15
15-16 CE1103
CM1113
CO123
16-17
17-18
18-19
19-20
20-21
21-22
Lecture
Exercise, TP
Project, other

legend

  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German