10th Computational Archival Science (CAS) Workshop -- deadlines updated

[Richard Marciano]

Thank you for considering participating or submitting a paper to this year's (online) Dec. 9 Computational Archival Science Workshop. Also, thank you for sharing with your networks.

IMPORTANT DEADLINES (UPDATED):

• November 9, 2025: Due date for full workshop paper submission
• November 16, 2025: Notification of paper acceptance to authors
• November 23, 2025: Camera-ready accepted papers
• December 9, 2025: Day-long CAS workshop (online)

https://ai-collaboratory.net/cas/cas-workshops/ieee-big-data-2025-cas-10/ 

RESEARCH TOPICS COVERED:

Topics covered by the workshop include, but are not restricted to, the following:

• Application of analytics to archival material, including AI, ML, text-mining, data-mining, sentiment analysis, network analysis.
• Analytics in support of archival processing, including e-discovery, identification of personal information, appraisal, arrangement and description.
• Scalable services for archives, including identification, preservation, metadata generation, integrity checking, normalization, reconciliation, linked data, entity extraction, anonymization and reduction.
• New forms of archives, including Web, social media, audiovisual archives, and blockchain.
• Cyber-infrastructures for archive-based research and for development and hosting of collections
• Big data and archival theory and practice
• Digital curation and preservation
• Crowd-sourcing and archives
• Big data and the construction of memory and identity
• Specific big data technologies (e.g. NoSQL databases) and their applications
• Corpora and reference collections of big archival data
• Linked data and archives
• Big data and provenance
• Constructing big data research objects from archives
• Legal and ethical issues in big data archives

________________________

Richard J. Marciano, Ph.D.

Professor, University of Maryland

College of Information (INFO)

Affiliate in Comp. Sci. (CS) and the Institute for Systems Research (ISR)

Director, Advanced Information Collaboratory (AIC)

https://ai-collaboratory.net

marc...@umd.edu