Proposed Working Definitions of Computational Archival Science (CAS):An interdisciplinary field concerned with the application of computational methods and resources to large-scale records/archives processing, analysis, storage, long-term preservation, and access, with the aim of improving efficiency, productivity and precision in support of appraisal, arrangement and description, preservation and access decisions.The intent is to engage and undertake research with archival materials, as well as apply the collective knowledge of computer and archival science to understand the ways that new technologies change the generation, use, storage and preservation of records, and the implications of these changes for archival functions and the societal and organizational use and preservation of authentic digital records.This suggests that computational archival science is a blend of computational thinking and archival thinking.The above definition is, by nature of its novelty, still tentative and evolving. For example, we recognize that in an inter-discipline there will be a two-way exchange of knowledge between foundational disciplines, which the current definition does not adequately reflect.After making a case for this new inter-discipline, we present case studies that demonstrate the changing environment of archival practices, and some examples of interdisciplinary efforts to address these changes. The case studies demonstrate how current theories and methods of one or more of the disciplines could benefit from those of one of the others, successful collaborations between disciplines, and early practitioners of CAS. At the end of each case study, we discuss possible takeaways for re-envisioning MLS education and training in the context of CAS.

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