Added on 26 September 2022

Call for Papers for the 7th Computational Archival Science (CAS) Workshop

PART OF: IEEE Big Data 2022, 17 - 20 December


  • Friday Oct 28, 2022 (final): Due date for full workshop papers submission

  • Friday Nov 4, 2022: Notification of paper acceptance to authors

  • Tuesday Nov 15, 2022 (hard deadline): Camera-ready of accepted papers

  • Dec 17-20, 2022: CAS#7 Workshop (exact date To Be Confirmed)


This will be the 7th workshop at IEEE Big Data addressing Computational Archival Science (CAS), following on from workshops in 20162017201820192020 and 2021.

It also builds on three earlier workshops on ‘Big Humanities Data’ organized by the same chairs at the 2013-2015 conferences, and more directly on a 2016 symposium held in April 2016 at the University of Maryland.

All papers accepted for the workshop will be included in the Conference Proceedings published by the IEEE Computer Society Press. In addition to standard papers, the workshop (and the call for papers) will incorporate a student poster session for PhD and Master’s level students.


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



  • Dr. Mark Hedges
    Department of Digital Humanities (DDH), King’s College London, UK

  • Prof. Victoria Lemieux
    School of Information, University of British Columbia, CANADA

  • Prof. Richard Marciano
    Advanced Information Collaboratory (AIC), College of Information Studies University of Maryland, USA

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