Our site uses cookies necessary for its proper functioning. To improve your experience, other cookies may be used: you can choose to disable them. This can be changed at any time via the Cookies link at the bottom of the page.

Université de Bordeaux
 

Timetable & learning outcomes

Throughout the summer school, participants learn in a variety of ways thanks to a programme that combines conferences, IT workshops (dedicated to programming languages and software) and classroom experiments.

Tentative programme

The Bordeaux Summer School will focus on three essential aspects of the digital humanist's activity: data, tools, and methods.

> Data: data analysis requires the ability to identify relevant data, to evaluate their suitability for the work at hand, and to collect them in an appropriate way.

> Tools: the processing of data requires the researcher to know which tools are adapted (softwares or programming languages).

> Methods: how to use tools and data in a proper way? What is possible to achieve and how to achieve it?

Themes as varied (but complementary) as the epistemology of digital humanities, a range of computer programming workshops open to beginners in the field, and the question of data gathering on the Internet will be addressed. We will focus specifically on two main themes: intersection of networks and language and intersection of discourse and truth.






Monday June 26th, 2023

9:15 - 9:30

Introduction of the programme

Nader Hakim, Olha Nahorna, Samantha Marro-Bernadou, Alexis Lombart


9:30 - 10:00

Welcome breakfast


 
 

10:00 - 10:15

Presentation of the financial partners


10:15 - 11:00

Introductory lecture

 Alexis Lombart


11:00 - 11:15

Questions


11:15 - 12:15

Roundtable about digital humanities definition and institutionalisation

Matthieu Montalban, Pierre Deboissy, Bruno Pinaud. 

Chair: Sébastien-Yves Laurent


12:15 - 14:30

Lunch break


14:30 - 18:00

IT programming sessions: introduction to Python (P. Deboissy); Tulip (B. Pinaud)

Pierre Deboissy, Bruno Pinaud


Tuesday June 27th, 2023

9:00 - 12:30

IT programming sessions: one beginner group (P. Deboissy), one high-level group (B. Pinaud) (1)

Pierre Deboissy, Bruno Pinaud


12:30 - 14:00

Lunch break


14:00 - 17:30

IT programming sessions: one beginner group (P. Deboissy), one high-level group (B. Pinaud) (2)

Pierre Deboissy, Bruno Pinaud


Wednesday June 28th, 2023

8:30 - 11:30

Introduction to the Cortext software

Lionel Villard

11:30 - 12:30

 Computational human sciences and philology

Jean-Baptiste Camps

12:30 - 14:00

Lunch break


Statistics, machine learning and data visualisation

14:00 - 15:00

Introductory lecture: fundamental statistics concepts in digital humanities

 Maud Bénichou


15:00 - 15:30

Questions

               

15:30 - 15:50

Classification of work experiences using AI

François Maublanc & Olha Nahorna


15:50 - 16:10

Machine learning & text analysis in the study of real estate regulation

Guillaume Chapelle

16:10 - 16:30

Russia's new 'war nationalism': how nationalist rhetoric prepared the ground for the invasion of Ukraine

Jules Sergei Fediunin

16:30 - 16:50

The use of cartography in reasearch works

Guillaume Pouyanne

16:50 - 17:20


Questions


Thursday June 29th, 2023

Language and network analysis


9:00 - 9:20

Artificial intelligence techniques for legal reasarch: overview and potential

Arthur Dyèvre

9:20 - 9:40

What is digital legal history? Everything you always wanted to know of digital methods (but were afraid to ask)

Andreas Wagner

9:40 - 10:00

Work in Africa at International Labour Review: a prosopographical analysis

Jérome Porta, Gauthier Debruyne

10:00 - 10:20

How to measure humiliation in international relations?

Samantha Marro-Bernadou


10:20 - 10:50

Questions


10:50 - 11:20

From panda to wolf warrior: understanding China's "move" in the digitalisation of public diplomacy

Zhao Huang


11:20 - 11:40

Constructing a knowledge graph for the history of (socio-)legal scholarship

 Christian Boulanger

11:40 - 12:00

What interdisciplinarity for social sciences? Two study cases: urban science and computational social science

Fabrizio Li Vigni

12:00 - 12:30

Questions


12:30

Lunch


Free time. Possible group visit of Bordeaux.


Friday June 30th, 2023

Discourse and truth

9:00 - 9:20

Cyberhate against migrants: truth-telling and alternative rationality

Axel Boursier

9:20 - 9:40

The books of grievances of the Great National Debate: a participatory research inscribed in the field of digital humanities

Manon Pengam

9:40 - 10:00

Climate discursive moment: a method to apprehend actors

Luciana Radut-Gaghi

10:00 - 10:30

Questions


10:30 - 10:50

Is propaganda back in school? Read (again) Chinese textbooks with MaxODA

Jingya Sun

10:50 - 11:10

The words of national identity during the 2007 electoral campaign: a comparative lexicomatric analysis of the speeches of Jean-Marie Le Pen, Ségolène Royal, and Nicolas Sarkozy

Clémence Faure

11:10 - 11:30

Environmental and climate accountability: how compliant are French companies?

Mathieu Bernard

11:30- 12:00

Questions



 

12:00 - 14:00

Lunch break


Collecting data

14:00 - 16:30

The web as a research field: collecting & analysing data for human and social sciences

Benjamin Ooghe-Tabanou

16:30

Closing statements

Nader Hakim, Alexis Lombart

Expertise upon completion

This summer school will provide participants with:

› An overview of the scientific possibilities of digital humanities;

› Knowledge of this particular disciplinary field (definitions, concepts and methods), and the fundamental concepts of statistics used in this context;

› An understanding of the methodological and epistemological challenges related to digital humanities, and in particular the legal aspects;

› A practical training session for the use of the TULIP software, an information visualisation framework dedicated to the analysis and visualisation of relational data developed at the 'Bordeaux Computer Science Research Laboratory - LaBRI' of the University of Bordeaux for more than 20 years;

› A first approach of the R and Python computer languages;

› An introduction to the theory of biases in social and human sciences, as well as to the techniques and methods of empirical legal studies and digital legal history.


A certificate of participation will be awarded to students upon completion of the course.