General introduction to Digital Humanities

Digital Humaities: general approach (Semester 1)

Digital humanities bring a set of tools to the field of humanities and social sciences, in order to create new knowledge and to facilitate its dissemination, analysis and archiving, through computer technologies. They also constitute a trans-discipline and a research community, which will be questioned from a critical angle.

The Observatory of Digital Humanities at ENS-PSL proposes an introductory training in two levels. The first one aims at introducing students to research practices in a digital environment.

• Session 1: Monday, September 26, 2022 - 4-6pm. What are digital humanities? (Léa Saint-Raymond)
• Session 2: Monday, October 10, 2022 - 4-6pm. Digital bibliographies - Zotero, HAL and CVHAL (Jonathan Guyon Le Bouffy)
• Session 3: Monday, October 24, 2022 - 4-6pm. Creating a corpus of data, thinking about their confidentiality (Florence Weber)
• Session 4: Monday, November 14, 2022 - 4:00-6:00 pm Documentation, description and indexing of digital data: the role of metadata (Richard Walter)
• Session 5: Monday, November 28, 2022 - 4-6pm. Open access and open archives, scientific integrity (Jonathan Guyon Le Bouffy)
• Session 6: Monday, December 12, 2022 - 16h-18h. Approach of a digital library, the Omeka software (Richard Walter)

Practical information:

Validation: attendance and a critical review of a scientific event on topics related to digital humanities or a reading note on a book or a corpus of articles dealing with a topic related to digital humanities.

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Digital Humanities: a practical training (Semester 2)

The second level of the introductory course in digital humanities, this course - which does not require validation of level 1 - introduces students to digital tools and computational data analysis. No prior knowledge is required. These courses aim to provide a solid foundation in programming and corpus visualization. They encourage the appropriation of languages and techniques and allow, in fine, to be autonomous when it comes to producing and processing data digitally.

• Session 1: Monday, January 9, 2023 - 5:00-7:00 pm Computational analysis of quantitative data (Léa Saint-Raymond)
• Session 2: Monday, January 23, 2023 - 5pm-7pm. Digital mapping with Python and Javascript (Léa Saint-Raymond and Quentin Bernet) 
• Session 3: Monday, February 6, 2023 - 5pm-7pm. Network analysis (Léa Saint-Raymond)
• Session 4: Monday, February 20, 2023 - 5pm-7pm. Text analysis and data mining with Python (Paul Kervegan)
• Session 5: Monday, March 13, 2023 - 5pm-7pm. Automatic Language Processing (Thierry Poibeau and Jean Barré)
• Session 6: Monday, March 27, 2023 - 5:00-7:00 pm. Computer Vision, image analysis (Robin Champenois, to be confirmed)

Practical information :

Validation: attendance and technical achievement using one of the tools discussed during the semester (creation of records in Dublin Core, transcription and encoding of a manuscript, creation of an interactive map, etc.). 

Classes take place on Mondays from 5:00 pm to 7:00 pm at 45 rue d'Ulm, in the conference room of the Data Science Center (staircase B, 3rd floor). 

Registration: please write to lea.saint-raymond@ens.psl.eu

Office: Observatoire des Humanités numériques de l'ENS-PSL: office BC211, by appointment (lea.saint-raymond@ens.psl.eu)