6-7/12: Wondering for Resonances

Loudspeaker Orchestra Concert Series

Venue: The Queen Anne Undercroft

Date: 6 and 7 December 2023

Time: 7pm (performance 1), 8.30pm (performance 2)

Entry: £5, booking is required

Electroacoustic Composer and Researcher, Giulia Vismara presents “Wondering for Resonances”. This site-specific performance with the IKO loudspeaker and Captivate’s 3D scanning, is the culmination of a residency in the Queen Anne Undercroft, which explores the nuanced interplay between architectural space, sound, and the IKO loudspeaker. Discover this hidden, vaulted space in an unfolding of sound in the last remnant of the old Tudor Palace.  

Giulia Vismara:  

Giulia Vismara is an electroacoustic composer, researcher and educator. Currently a postdoctoral fellow at Antwerp’s Royal Conservatory and Academy of Fine Arts, where at MaXLAb Research Group, she is exploring the relationship between sound, embodiment and acoustic perception in real-world vs virtual simulations. She co-founded the SSH! Sound Studies Hub at Iuav, University of Venice, and contributes to RISME digitali—a research group focused on electronic and digital technologies in music creation. Vismara’s artistic pursuit revolves around sound as a dynamic, living medium to explore our world. She is particularly interested by the merging of sound and space attributes to create varied tangible architectural experiences through sensory perception. Her portfolio includes electroacoustic music, sound installations, compositions for theatre and performances.  


Captivate Spatial Modelling: 

Addressing debates in relation to data ontology, the interdisciplinary work of Captivate enables new modes of engagement with sites and objects of historical significance to be developed and tested. The combination of visual and audible methodologies and expertise brings new insights and opens up avenues of investigation for research, further facilitating national and international networks. 

Captivate approach objects in such a way as to challenge formal representation – investigating the object as data set, where sound and the diffuse temporality of noise are incorporated.