Chiara Capulli, MPhil

Doktorandin

Forschungsinteressen

  • Late medieval and Renaissance religious art and architecture in Florence
  • Digital Humanities
  • Cultural Heritage in the aftermath of disasters and catastrophic events

Forschungsprojekt

Displacement and Reconfiguration: The Effects of the Florentine Guasto of 1529 on Devotional Spaces and Networks of Artistic Patronage

    Publikationen

    • (gemeinsam mit Fabrizio Nevola, Donal Cooper und Luca Brunke) "Immersive Renaissance Florence: Research-Based 3D Modelling in Digital Art and Architectural History", Getty Research Journal, 15 (2022), S. 203–227.
    • (gemeinsam mit Donal Cooper, Fabrizio Nevola und Luca Brunke) "3D models and locative AR: Hidden Florence 3D and experiments in reconstruction", in Hidden Cities: Urban Space, Geolocated Apps and Public History in Early Modern Europe, hg. v. Fabrizio Nevola et al., London 2022, S. 231–248.

    Vita

    Chiara Capulli is an AHRC-funded PhD candidate in History of Art at the University of Cambridge supervised by Dr. Donal Cooper with a research project that examines the consequences brought by the 1529 Guasto of Florence to the city’s artistic and architectural heritage. Before starting the PhD, she received her BA (2013) and MA (2015) from La Sapienza, Rome, and an MPhil (2016) from Cambridge and worked as research assistant at the Kunsthistorisches Institut in Florence (2015). She has participated in summer schools and projects that assess the consequences of recent earthquakes on the cultural heritage of Central Italy and the role of art historians for the recovery of affected areas. Alongside her primary research activities, she has developed an interest in the methodologies and possibilities of digital humanities, on which she has provided training to students and GLAM professionals at the Universities of Cambridge (Cambridge Digital Humanities Data School Methods Fellow, 2020–21) and Exeter. As a digital art historian on the Getty-funded Florence 4D project (2019–21), she has carried out art historical research, trained interns, and has helped develop a pipeline for research-based 3D modelling, metadata-mapping and sharing using the CIDOC CRM ontology and IIIF manifests.

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