Grounding Digital Scholarship in the Analogue: Reimagining Library Fellowships Post-Pandemic
Licastro, Amanda; Vargas, Roberto
Swarthmore College, United States of America
We reimagined a year-long, library-based, digital scholarship fellowship that provides hands-on instruction for students, grounded in physical collections and spaces, but resulting in digital manifestations. The fellowship focuses on social justice by highlighting the ethical issues concerning the field, specifically exploring labor, race, gender, disability, infrastructure, and environmental inequality.
Poetry as Activism: Creative Engagement with Digitized Archival Materials
Schollaert, Jeannette
University of Delaware Library, Museums and Press, United States of America
HTML XMLThe University of Delaware’s Poetry as Activism project seeks to push beyond the idea that digitizing collections is enough. Instead, the digitization of unique materials from UD’s collections of 20th century American poets is simply the jumping off point.
The "Digital History of Education Lab" (DHELab) as an experimental space for digital tools and methods - Closing the gap between supply, demand and ability
Freyberg, Linda; Vogel, Katharina
DIPF | Leibniz Institute for Research and Inf. in Education, Germany
In this short paper, after giving a brief overview of makerspaces and labs in academic libraries, the development of a user-centered research lab is elaborated, using the example of the "DHELab". The emphasis lays on the functions as both a physical and a virtual space strictly following the needs of (educational) historical researchers.
Community-Centric Open Science Infrastructure for Digital Humanities in the Asia-Pacific
Miyakita, Goki (1); Akashi, Eliko (2); Homma, Yu (1); Okawa, Keiko (3)
1: Keio Museum Commons, Keio University; 2: Keio University Global Research Institute, Keio University; 3: Graduate School of Media Design, Keio University
HTML XMLThis paper focuses on developing an Open Science Infrastructure for digital humanities and cultural heritage in the Asia-Pacific. The study aims to enhance DH resource visibility and accessibility in under-resourced regions. It emphasizes sustainable digital archives, community collaboration, and affordable resource access, addressing cultural underrepresentation and decentralization challenges.
Semantic Content Description and Object Detection: How Contemporary Deep Learning Models Interpret Early Japanese Photographs
Imbert, Alexis (1); Boillet, Mélodie (1); de Saint-Ours, Edouard (2); Kermorvant, Christopher (1); Tarride, Solène (1)
1: TEKLIA, France; 2: Musée National des Arts Asiatiques – Guimet, France
The article addresses the limitations of deep learning models trained on modern datasets in analyzing historical photographs, especially non-Western images. An experiment with a Japanese photography corpus demonstrates how deep learning models can be used for analyzing such collections, and generate enriched metadata for archival and research purposes.