Program

The program below is preliminary and subject to modification.

The Summer School will be based on a series of lectures and workshops. It will include a datasprint, ie a sprint-like event where the participants will work collaboratively (teamwork) around historical data based projects.

Day 1 | Day 2 | Day 3 | Day 4

20.06.2017 – Day 1. Primary sources

  • 8h30-9h00 – Registration
  • 9h00-9h30 – Introduction
  • 9h30-11h00 – First lecture: Introduction to Digital History (Jane Winters Sean Takats)
  • 11h00-11h30 – Pause
  • 11h30-13h00 – Second lecture: From primary sources to data (Frédéric Clavert Sean Takats)
  • 13h00-14h00 – Lunch
  • 14h00-15h30 – Workshop: Creating your own primary sources corpus
  • 15h30-16h00 – Coffee
  • 16h00-17h30 – Introduction to the Datasprint
  • 17h30–18h – Project Slam

21.06.2017 – Day 2. Text mining

  • 8h30 – Registration
  • 9h30-11h00 – Third lecture: Web archive (Valérie Schafer) OR Digitized sources (Elena Pierazzo)
  • 11h00-11h30 – Pause
  • 11h30-13h00 – Workshop: Born digital sources OR Digitized sources
  • 13h00-14h00 – Lunch
  • Tour. (To be defined)

22.06.2017 – Day 3. Data visualization

  • 8h30 – Registration:
  • 9h30-11h00 – Fourth lecture: Text mining (Aris Xanthos)
  • 11h00-11h30 – Pause
  • 11h30-13h00 – Workshop: Text mining
  • 13h00-14h00 – Lunch
  • 14h00-15h30 – Fifth lecture: Networks and visualization
    (Marten Düring, Martin Grandjean)
  • 15h30-16h00 – Coffee
  • 16h00-17h30 – Workshop: Data Visualization
  • 17h30–18h – Datasprint

23.06.2017 – Day 4. Datasprint

  • 8h30 – Registration
  • 9h30-11h00 – Workshop (Second session of the week’s workshops)
  • 11h00-11h30 – Pause
  • 11h30-13h00 – Workshop: Datasprint
  • 13h00-14h00 – Lunch
  • Datasprint
  • 16h00-17h30 – Datasprint Slam
  • 17h30–18h – Conclusion: