A multidisciplinary, digital residency bringing together an international cohort of artists and technologists to learn, share, network and play


Immersive Assembly is an innovative, multidisciplinary artist development programme for early to mid-career artists, producers and creators working with emerging immersive technologies. Each edition of the multi-disciplinary residency focuses on learning, peer critique and developing new collaborations inspired by immersive art & tech, bringing together a cohort of artists, technologists and cultural influencers to learn, share, network and play.

Hybrid in its form, each Assembly provides in person and/or online opportunities for knowledge exchange, collaboration, and capacity building, featuring world leading speakers, panel sessions, workshops and mentoring from a team that delivers, produces and tours immersive projects year in and year out.

Three editions of the programme have so far supported 23 artists – from Argentina, China, Ghana, Mexico,  the UK, Denmark and Zimbabwe – each focusing on a different, prescient theme in immersive arts, and in partnership with a wide range of academic and cultural institutions. 

Immersive Assembly Vol 1: Ritual & Connection, supported by British Council, Art Council England and Goldsmiths, University of London

Immersive Assembly Vol 2: Bodies & Geometry, supported by Arts Council England and the Danish Embassy in London, a pilot programme for the developing cultural partnership between York and our fellow UNESCO City of Media Arts, Viborg

Immersive Assembly Vol 3: Truth & Testimony, supported by the Jerwood Developing Artists Fund and The Glasshouse International Centre for Music

Immersive Assembly Vol 4: Dreams & Echoessupported by the Cultural Programme at The Schwarzman Centre, University of Oxford, the Cheng Kar Shun Digital Hub at Jesus College Oxford, and Mediale’s talent development focus supported by Arts Council National Portfolio Organisation funding

You can learn more about each edition of Immersive Assembly below:

Supported By: