Stage to Data project announces seminar series [online and in person, Paris]

The Arts and Cultural Data

This seminar explores the challenges and applications of this field for the study of the arts and cultural data. It is part of the European ERC project From Stage to Data, led by Clarisse Bardiot, and brings together two rapidly developing fields: digital art history and culture analytics.

The Arts and Digital Humanities seminar has three objectives: to explore the foundations of the digital humanities and their applications to the arts, particularly the performing arts; to analyze the scientific and ethical challenges of using digital data in research; and to introduce participants to the latest work in the field through presentations by recognized researchers. The program brings together specialists in the digital arts and humanities with historians, philosophers and researchers in the humanities whose work directly informs our discussions. Each year, an artist is also invited to present a practice related to digital technology.

The seminar is aimed at Master’s and PhD students, as well as artists and cultural professionals. No previous experience in data analysis is required. The sessions, which last two hours and are sometimes held in English, take place both in person and online (via Zoom). The presentation (lasting approximately one hour) is followed by a discussion and then a social gathering.

The sessions will be recorded and made available on the From Stage to Data website and YouTube channel: https://stage-to-data.huma-num.fr

The full program is available at the following address: https://stage-to-data.huma-num.fr/en/events/arts&HN/


19/10 – Andreas Aristidou, University of Cyprus, CYENS Center of Excellence

Performing Arts in the Digital Age: Capture, Analysis, Visualization, and Interaction with XR Technologies

02/11 – Peter Broadwell & Michael Rau, Stanford University

Reworking Similarity and Consensus in Pose-Based Analyzes of Theater Recordings

23/11 – Nick Crossley, University of Manchester

Investigating Event Networks

07/12 – Pantelis Michelakis, Director of the Archive of Performances of Greek and Roman Drama

Patterns of Performance: Computational Audiovisual Analysis and the Transformation of Theater Historiography

18/01 – Lise Jaillant, Loughborough University

Pressing Matters: Artificial intelligence, natural history, and co-creation using cultural data

01 / 02 – Ulla Kallenbach, University of Bergen & Anna Lawaetz, Royal Danish Library

The theatrical gaze and digital humanities: text, performance, archives

22/02 – Johanna Drucker, UCLA

Affective, Experiential, and other Non-Standard Metrics for Visualization in the Humanities

15/03 – Nicola Carboni, University of Illinois

From Pixels to Context: knowledge graphs for visual objects

05/04 – Pierre Couprie, University of Évry Paris-Saclay

The musicologist’s digital laboratory: from instrumented listening to multimodal analysis environments

Culture, Data and the Humanities in the Age of AI – Seminar (Dublin)

The use of machine learning to study patterns of cultural and social change has developed very rapidly in the last decade and the insights from this kind of research are urgently needed in a context where AI tools are rapidly proliferating, raising issues of ethics, trust and epistemology. In this context, this half day colloquium will reflect on the experience of collaborative research between data science and the humanities and the potential it offers for new insights, resources and methodologies. It will hear from researchers on two milestone projects, reflecting on the nature of their collaboration, lessons for future research and reflecting with Irish researchers on the collaborative path forward.

The Ed Ruscha Streets of Los Angeles Archive at the Getty Research Institute in Los Angeles brought together an international team of art historians, media analysts, architects, urban planners, information specialists and software engineers with Getty staff to document, interpret, and debate the Streets of Los Angeles Archive, which was created by the artist Ed Ruscha beginning in 1965 and continuing over the subsequent fifty years.

Living with Machines was a flagship collaborative humanities and science research initiative at the Alan Turing Institute, bringing together historians, data scientists, geographers, computational linguists, library professionals, and curators to examine the human impact of industrial revolution. Developing new tools, methods and resources it exemplifies the capacity to analyse at scale and produce new insights and analysis through such collaboration.

Speakers: Eric Rodenbeck (Stamen), Dr. Emily Pugh (Getty Research Institute), Prof. Mark Shiel (King’s College London), Dr. Katherine McDonough & Dr. Daniel Wilson (The Alan Turing Institute)

More information:

This event is co-organised by the UCD Centre for Cultural Analytics and Insight Research Ireland Centre for Data Analytics, and will feature visiting speakers from the Getty Research Institute and the Alan Turing Institute.

Venue: UCD Conway Lecture Theatre (B039), University College Dublin
Date: 7th March 2025
Time: 12.00-16.30

Registration here.