Computational Archives for Experimental Museology

Author:

Kenderdine Sarah,Mason Ingrid,Hibberd Lily

Publisher

Springer International Publishing

Reference74 articles.

1. French, A., Villaespesa, E.: AI, visitor experience, and museum operations: a closer look at the possible. In: Anderson, S., Bruno, I., Rao, S., Rodley, E., Ropeik, R., Hethmon, H. (eds.) Humanizing the Digital: Unproceedings from the MCN 2018 Conference, pp. 101–113 (2019)

2. Marciano, R., et al.: Archival records and training in the age of big data. In: Percell, J., Sarin, L.C., Jaeger, P.T., Bertot, J.C. (eds.) Re-envisioning the MLS: Perspectives on the Future of Library and Information Science Education. Advances in Librarianship, vol. 44B, pp. 179–199 (2018)

3. Wright, C., et al.: AI in production: video analysis and machine learning for expanded live events coverage. SMPTE Motion Imag. J. 129(2), 36–42 (2018). https://doi.org/10.5594/JMI.2020.2967204

4. Van Gorp, J., Bron, M.: Building bridges: collaboration between computer science and media studies in a television archive project. Digit. Hum. Q. 13(3) (2019)

5. Masson, E.: Humanistic data research: an encounter between epistemic traditions. In: Schäfer, M.T., Van Es, K. (eds.) The Datafied Society: Studying Culture through Data, pp. 25–38. Amsterdam University Press, Amsterdam (2017)

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