Home > Research > Publications & Outputs > Seeding Things No.1
View graph of relations

Seeding Things No.1

Research output: Exhibits, objects and web-based outputsExhibition

Publication date8/03/2021
Place of PublicationOnline
Medium of outputFilm
Size5.30 mins
<mark>Original language</mark>English


A video made through incremental collaborations in a greenhouse and machine learning software. A landscape emerges from a glacier and grass begins to grow, only to recede back under the ice. Through freeze and thaw, it slowly gives way to a densely matted greenness that is grass-like, but also not. The work continues to grow in a generative conversation between plants, AI, and the artist. It draws a parallel between the actions of biological growth and machine learning, both seeded and tended by human input. The work is quietly influenced by ideas of environmental and human justice from fiction (Jemisin 2015-17, VanderMeer 2014), an entangled understanding of more-than-human relationships from social sciences (Tsing 2015, Haraway 1991 & 2016, Barad 2007), and of environmental and microbial care (Puig de la Bellacasa 2017). This complex ecology of ‘contaminated diversity’ (Tsing 2015) produces sublime encounters that threaten and enthral.