This special issue of JOCCH aims to present a wide-ranging review over the current state-of-the-art of research in computational archival science. The large-scale digitisation of analogue archives, the emerging diverse forms of born-digital archive, and the new ways in which researchers across disciplines (as well as the public) wish to engage with archival material are disrupting to traditional archival theories and practices and are presenting challenges for practitioners and researchers who work with archival material. They also offer enhanced possibilities for scholarship, through the application of computational methods and tools to the archival problem space, and, more fundamentally, through the integration of “computational thinking” with “archival thinking.” This potential led the collaborators in this special issue to identify Computational Archival Science (CAS) as a new field of study, and our working definition is:
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Hedges et al. (2022) studied this question.