ABSTRACT Fears of widespread permanent closures of museums expressed at the start of the COVID‐19 pandemic prompted our research to monitor closures and other museum behavior in 2021–2022. We wanted to understand how the UK sector changed in this period. Which museums closed, and what factors were at work in their closure? Did museums that closed have anything in common? Were there trends or patterns across the sector? To monitor as widely as possible we conducted an experimental analysis of the sector using website scraping and machine learning to perform large‐scale data collection and analysis. We found that museums did not close in the numbers expected; on the contrary, during the pandemic fewer museums closed than in previous years and we reflect on the likely reasons for this. Although the pandemic functioned as our case study, our methods are potentially applicable to other situations requiring whole‐sector monitoring of museums' behavior.
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Liebenrood et al. (Mon,) studied this question.
www.synapsesocial.com/papers/69df2a99e4eeef8a2a6afaef — DOI: https://doi.org/10.1111/cura.70034
Mark Liebenrood
Andrea Ballatore
Fiona Candlin
Curator The Museum Journal
King's College London
University of Warwick
Birkbeck, University of London
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