Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 31st July 2025, 09:03:39pm WEST

 
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Session Overview
Session
LP-18: Participatory Platforms, Open Scholarship and Advanced OCR
Time:
Thursday, 17/July/2025:
2:00pm - 3:30pm

Session Chair: Miguel Escobar Varela, National University of Singapore
Location: B210 (TB)
Zoom link to be included
Only for extra workshops on Monday and Tuesday

60 places

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Presentations

Connecting Threads: Creating a Participatory and Globally Accessible Platform for the Study of Checked Indian Cotton Textiles

Deepthi Murali, Jason Heppler

George Mason University, United States of America

Connecting Threads explores connections between South Indian weavers and Caribbean consumers by linking small and large textile collections and archives to enhance access to global fashion histories. Featuring a PostgreSQL database and interactive visualizations, the paper details its technical development, collaborative methodology, and impact on equity and accessibility in DH.



Centering Civic Engagement with Open Scholarship: The Revolutionary City as a Model for Fostering Public Use of Digital Cultural Heritage

David Ragnar Nelson, Bayard L. Miller

American Philosophical Society, United States of America

The paper presents a two-pronged approach for fostering access to and use of digital archival holdings. This approach combines public use of HTR technologies and public involvement in producing interpretative digital scholarship. The framework presented seeks to encourage civic engagement and dialogue around the holdings.



Advancing OCR and Word Sense Disambiguation for the Jawi Script using LLMs and VLMs

Miguel Escobar Varela, Stephane Bressan, Faizah Zakaria, Ganesh Neelalkanta Iyer, Guo Quan Seng, Pratik Karmakar

National University of Singapore, Singapore

We introduce novel datasets and fine-tuned VLM and LLM models for OCR and word-sense disambiguation for Jawi (a writing system used historically for Malay). Our OCR system that outperforms previous solutions with a Character Error Rate (CER) of 8.66%, and a context-aware word sense disambiguation model that achieves 99.2% accuracy.