About CAS

Computational Archival Science (CAS):

Our working definition:

Contributing to the development of the theoretical foundations of a new trans-discipline of computer and archival science

Objectives:

  • Contribute to the development of the theoretical foundations of a new trans-discipline of computer and archival science
  • Design the educational foundations and delivering training in this emerging trans-discipline to support all industries and fields
  • Develop a virtual and physical laboratory to test and apply scientific advances in a collaborative environment

Foundational Paper:

  • “Archival records and training in the Age of Big Data,” Marciano, Lemieux, Hedges, Esteva, Underwood, Kurtz, Conrad, submitted Oct. 2016
    See: Final_draft.pdf

    In: “Advances in Librarianship – Re-Envisioning the MLIS: Perspectives on the Future of Library and Information Science Education”
    Editors: Lindsay C. Sarin, Johnna Percell, Paul T. Jaeger, & John Carlo Bertot

National Forum Position Paper:

  • “On the Computational Turn in Archives & Libraries and the Notions of Levels of Computational Services,” Jansen, Marciano, March 2017
    See: The_Computational_Turn_in_Archives_and_Libraries

    In: “Always Already Computational: Library Collections as Data”, National Forum Position Statement presented in March 2017 at the UC Santa Barbara workshop.