text saying Jen Southern
text saying works
text saying CV
text saying biography
text saying blog

 


Gathering Downstream

May-November 2022

 

Gathering Downstream is part of the Unintended Consequences program and was commissioned by FutureEverything for NT Quarry Bank, Cheshire.

Unintended Consequences, part of Trust New Art, the National Trustís programme of contemporary arts, supported using public funding by Arts Council of England and produced with support from Arts&Heritage. Led by FutureEverything, with new commissioned work by artist Jen Southern. 

Video links

The Great Beech - A timelapse from May - Sept

Machine Learning Videos trained with images from Quarry Bank landscapes and archives

Moss and Lichen and pages from a wages ledger

The rising and falling River and a 18th C textile pattern book

Meadow seeds growing and a mill production ledger

Red sandstone rocks & local maps

Participatory Machine Learning - using photographs of clothing taken during the exhibition


What can humans and machines learn about the impacts of climate crisis and ecological emergency from the trees, meadows, rocks, river, mosses and lichens at Quarry Bank?

Gathering Downstream is an artwork by Jen Southern that unfolds through five films created with machine learning technology. She has worked with Clare Brown, Katharine Cook, James Firth, Colin Gorner, Suzanne Kellett and Ally Tsilika at Quarry Bank to gather thousands of images from across the estate and archives to train this technology. Participants could also contribute photographs to collectively change future versions of the films, a form of 'participatory machine learning'. 

The artwork explores the legacy and impact of the industrial revolution, and its often exploitative links with the surrounding landscape. The installation gathers together the movement of plants, rocks, people and machines, through their relationship to water, from the river and damp air that brought both mossy abundance and Samuel Greg (1759-1834) and his cotton mill to Quarry Bank, to the drought and flooding that are two of the biggest global impacts of the climate crisis.

In the films the human-made, machine-made and natural are interwoven, intimately entangled and inseparable. As they struggle to co-exist they are teeming with human and non-human life, and each could overwhelm the other. With their lives so closely connected, the work suggests an urgency to act now to care for our collective futures.

The videos in this exhibition were made with machine learning software trained with thousands of images of Quarry Bank landscapes, archives and maps. What you see are not photographs, but images generated by the software. The videos combine natural features with reminders of past exploitative practices: records of production and profit, ledgers documenting names and low wages, a textile pattern book that was used to sell fabrics in North America and maps of land use from geology, tree cover and agriculture to the airport today. Looking over it all is a timelapse video, capturing the daily life of a beech tree that has been here since Samuel Greg arrived, witnessing everything from the industrial revolution to climate crisis.

400 Meadow Planting kits were given out through 6 planting demonstrations. The kit contained a biodegradable seed tray, peat free compost, a small paper envelope of meadow seeds similar to ones used to replant meadows on the Quarry Bank estate, and riso printed instructions using soy based biodegradable inks.

In the exhibition where possible we have: reused existing display cases, walls, projectors, and cameras, and used fabric made in museum demonstrations, paper rather than vinyl plastics for signage and biodegradable inks for printing.

This project has been underpinned by research from the University of Manchester - with archival research supported by the John Rylands Research Institute - with special thanks to: 

Dr Joanne Tippett, Senior Lecturer in the School of Environment, Education and Development and co-creator of RoundView,
Fraser How, Co-creator of RoundView, How Creative
Jamie Farrington, PhD Researcher in History and Biological Sciences
Aneurin Merrill-Glover, PhD Researcher in History
Matthew Sanderson, PhD Researcher in Planning and Environmental Management

  
Installation of projections in an old mill building with wooden floors

A projected image combining moss, lichen, and an old handwritten wages book

A image combining grass seedlings and an old handwritten production book

Blue woven fabric image, made with Machine Learning software trained on images from the Quarry Bank fabric sample book

   
     

River

 Projected image of a red and white woven textile, onto a textile screen in an old mill building    Projected image of a blue and white woven textile combined with a weir, onto a textile screen in an old mill building
     
A projected image of tangled twigs by a river
 
A projected image of a grey textile
   
   

Rock

A projected image of rocks made with machine learning software, in an old mill building   A projected image of rocks made with machine learning software, in an old mill building
 

Grass

An image of grass growing, made with machine learning softare. Projected onto wooden floorboards   An image of grass growing and an old production book, made with machine learning softare. Projected onto wooden floorboards
   

Moss & Lichen

A projection of moss and lichen in an exhibition
 
A projection of moss growing over an old handwritten wages book
 

Tree

A projection of a tree with new green leaves onto a fabric panel in a mill building
A view of the whole exhibition in a mill building, with fabric screens and blue fabric woven through the beams in the ceiling
 

Tree Camera

A camera box pointing towards a tree in winter with blue skies
A camera with solar panel on an 8ft metal pole in a garden
 

Meadow Growing Packs

A table set out for a meadow growing workshop, under tent roof with coloured bunting
two brown paper bags with labels saying 'Meadow Planting Kit'
 

 

Logo for Lancaster Institute for Contemporary Arts, Lancaster University

Logo for the Centre for Mobilities Research