Data Science and Pop Culture
Nombre de places: 30 - Langue: Anglais/Français
Objectifs
Data sciences offer a new perspective to study the immense amount of cultural data available today. In this context, the emerging field of computational cultural sciences promises major scientific and industrial advances. This course module introduces students to the contemporary challenges in fundamental and applied research, and equips them with the central computational concepts and tools necessary to carry out a typical project in this field.
Evaluation
Oral presentation of an IMDb analysis project
Programme
La langue de la PSL-week sera le Français, sauf si un ou plusieurs étudiants ne sont pas francophones.
Monday morning: Presentation of Computational Cultural Sciences
- The big data revolution in the field of culture
- Close reading VS distant reading
- Cultural sciences theories
Speakers : Charles, Edgar, Nicolas
Monday afternoon: Case study: the evolution of portraits
- Construction of a theoretical framework
- Collecting data from portraits
- Computer implementation of a facial recognition system
- Statistical processing
Speaker: Léonard
Tuesday morning: Short project on Marvel & DC superheroes
- Reminder in R
- Refresher course in graphical representations
- Refresher in statistical modeling
Speaker: Valentin
Tuesday afternoon: Issues in the movie industry
- Current business issues
- State of the art of cultural data science
- Future perspectives
Speakers: Lise, Valentin
Wednesday morning to Friday morning [5 half-days]: Long project on films
Speakers: Edgar, Valentin
Friday afternoon: Oral presentation of the projects & discussions
Speakers : Everyone
iscussions
Pré-requis
Limited basic programming skills.
Equipe enseignante
Responsable : BAUMARD Nicolas
Valentin Thouzeau, Edgar Dubourg, Charles de Dampierre