The London Group: Weaving in the DarkThe Gallery, online03mar(mar 3)12:00 am06jun(jun 6)12:00 am
A collaborative audio-visual experiment by 32 London Group members and 2 hand-written computer programs. For the last two years, The London Group has run the collaborative group show In the Dark.
A collaborative audio-visual experiment by 32 London Group members and 2 hand-written computer programs.
For the last two years, The London Group has run the collaborative group show In the Dark. We were all set to run our third in January 2021 but, as with most physical shows over the last 12 months, it had to be postponed. Nevertheless, with the Group raring to work together, we decided do a collaborative experiment, combining digital photos, video and sound clips into the Smörgåsbord that is Weaving in the Dark. An incredible 32 members joined in.
Weaving in the Dark Artists: Clive Burton, Paul Bonomini, Stephen Carley, Sandra Crisp, Beverley Duckworth, Angela Eames, Eric Fong, Cadi Froehlich, Genetic Moo, Alexandra Harley, Chris Horner, Susan Haire, Julie Held, Martin Heron, Judith Jones, Jockel Liess, Amanda Loomes, Bethany Marett, Charlotte C Mortensson, Micheál O’Connell / MOCKSIM, Darren Nisbett, Michael Phillipson, Ian Parker, Sumi Perera, David Redfern, Tommy Seaward, Suzan Swale, Paul Tecklenberg, Almuth Tebbenhof, Carol Wyss, Erika Winstone and David Wiseman
generative visual mixer: Genetic Moo / generative sound system: Jockel Liess
Weaving in the Dark is an online prelude to the Group’s up-coming Waterloo Festival exhibition In the Dark III: Being There, in The Crypt at St John’s, London Sat 19 June – Sun 27 June.
We use cookies to improve your experience on our site. By using our site, you consent to cookies.
Manage your cookie preferences below:
Essential cookies enable basic functions and are necessary for the proper function of the website.
Statistics cookies collect information anonymously. This information helps us understand how visitors use our website.
SourceBuster is used by WooCommerce for order attribution based on user source.