
DHSI 2025 Institute Lecture: Béatrice Joyeux-Prunel (Université de Genève)
Keywords
Summary
172 words
Critical Evaluation
Value of the Information & Strength of the Argument
The lecture provides valuable insights into the practical applications and challenges of digital art history. Joyeux-Prunel effectively demonstrates how data-driven methods can reveal patterns invisible to traditional approaches, such as the detour through international exhibitions for career advancement. She also offers a balanced perspective by acknowledging the limitations and critiques, particularly regarding AI tools and corpus biases. The argumentation is solid, grounded in her own extensive research experience, and she convincingly refutes some of the common criticisms by showing how digital methods can be integrated with close reading and archival work.
Scientific Rigor, Source Quality, Title Accuracy
The lecture demonstrates scientific rigor through the presentation of concrete projects and methodologies. Joyeux-Prunel cites specific sources, including her own books and the ARTL@S and Visual Contagions projects, and references scholars like Claire Bishop and Franco Moretti. However, the talk is not heavily referenced, and some claims lack explicit citations. The title accurately reflects the content, which is a lecture on the role of data in art history. No comments were provided for analysis.
180 words
Title / Content Match
The title accurately reflects the content: a lecture on the role of data in art history.
Quality & Reliability
8/10
The lecture is delivered by a recognized expert in digital art history, with extensive experience leading large-scale projects (ARTL@S, Visual Contagions). The arguments are grounded in concrete examples from her own research and acknowledge limitations of digital methods. However, the presentation is an opinion piece rather than a peer-reviewed study, and some claims are not fully referenced.
Key Moments
Markers derived by PSI from the transcript: the creator did not define chapters.
- Introduction and personal background
- Critique of digital art history by Claire Bishop
- Introduction to ARTL@S project and exhibition catalogs
- Case study of Picasso's exhibitions
- Discussion of global art history and centers/peripheries
- Analysis of contemporary art and career patterns
- Introduction to Visual Contagions project
- Limitations of AI and computer vision
- Structural constraints: digitization, legal, and thematic biases
- Response to critiques and conclusion
Cited Sources
- ARTL@S — Project founded by Joyeux-Prunel, database of exhibition catalogs
- Visual Contagions — Project on global circulation of images in periodicals
- Claire Bishop, 'Against Digital Art History' — Cited as a major critique of digital art history
- Franco Moretti, 'Distant Reading' — Concept of distant reading applied to art history
Concurring Sources
- Lev Manovich, 'Cultural Analytics' — Supports the use of computational methods for cultural analysis.
Dissenting Sources
- Claire Bishop, 'Against Digital Art History' — Bishop argues that digital methods can lead to reductionism and a lack of critical reflection.
Contribution & Novelties
The lecture offers a nuanced perspective on the integration of data-driven methods in art history, emphasizing the importance of combining distant and close reading. It provides concrete examples from large-scale projects and addresses common critiques, contributing to the ongoing debate on digital humanities.
Pour aller plus loin :
- Distant viewing — A concept analogous to distant reading, applied to visual materials.
- Computer vision — The technology used to analyze images at scale.
- Digital humanities — The broader field encompassing digital methods in the humanities.
84 words
Radar Profile
The radar profile shows high scores in quantity and quality of information, reflecting the lecture's rich content and expert delivery. The technical level is moderate, indicating accessibility to a broad audience. Overall, the lecture is well-balanced, with strong contributions to the field.