Living with Machines exhibition
Living with Machines is a five-year collaborative research project. We aim to find new perspectives on the effects of the mechanisation of labour on the lives of ordinary people in Britain during the ‘long nineteenth century’ (c.1780-1918), by developing computational and historical techniques and research questions for working with historical sources. This exhibition is of our key outcomes.
Living with Machines: Human stories from the industrial age is a free exhibition at Leeds City Museum, exploring how machines and mechanisation changed life and work in Leeds and the surrounding regions.
A collaboration between the British Library and Leeds City Museum, the exhibition is co-curated by Mia Ridge and John McGoldrick.
Inspired by the Living with Machines research project, the exhibition unearths new human stories behind material from Leeds Museums & Galleries, brought together with items on loan from the British Library, National Football Museum, National Railway Museum and more.
From machines to mass-produced clothing, grassroots women’s football to art, the exhibition paints a relatable picture of how rapid advances in technology changed life and work for everyone
The exhibition runs between 29 July 2022 – 8 January 2023.
In addition to the wonderful activities for families organised by the Leeds Museums and Galleries learning team, we’re organising some events for specialist and general public audiences:
- Exhibition Study Day, Friday, September 9th, at Leeds City Museum
- The role of AI in Creative and Cultural Industries by the British Library, AI Tech North, Leeds City Museum, Thursday, September 22, 5:30 PM, at Leeds City Museum. Free, but booking is essential.
- Developing ethical and inclusive society and business in the age of AI, by the British Library, AI Tech North, Leeds City Museum. Thursday, September 29, 5:30 PM, at Leeds City Museum. Free, but booking is essential.
- Living With Machines Wikithon by the British Library, Leeds City Museum and Leeds Library, Thursday 6th October, from 1-4.30pm
Credits and thanks
Mia Ridge and John McGoldrick
Exhibition content and steering groups
Esther Amis-Hughes, Izzy Bartley, Conrad Bodman, Alice Carter, Sam Connor, Rachael Dilley, Kate Fellows, Natalie Haigh, Yvonne Hardman, Vanessa Jones, Ash Khan, John McGoldrick, Tasha McNaught, Sara Merritt, Sarah Murray, Richard Peacock, Mia Ridge, Kitty Ross, Kenn Taylor, Elvie Thompson, Kalle Westerling, Lizzy Wilson, Helen Young
Additional support from British Library, Living with Machines and Leeds Museum and Galleries staff
Peter Burke, Lucy Evans, Roger Gavin, Emma Griffin, Jayesh Tailor
Robbie Brown, Rachael Dilley, Lucy Hinnie, Maja Maricevic, Sherin Mathew, Mia Ridge, Stella Wisdom
Edwin Woodhouse & Co Ltd, Sunny Bank Mills, Keele University Art Collection, The Lowry Collection, Salford, Musée de la Toile de Jouy, National Railway Museum, Nottingham City Museums, Sheffield Museums Trust and Liberty Steel Group
Hand Made Pixels
This exhibition has been made possible as a result of the Government Indemnity Scheme. Leeds City Museum would like to thank HM Government for providing Government Indemnity and the Department for Digital, Culture, Media and Sport and Arts Council England for arranging the indemnity.
This exhibition is part of the Living with Machines research project, funded by the Arts and Humanities Research Council (AHRC) via UK Research and Innovation’s (UKRI) Strategic Priorities Fund. This multidisciplinary collaboration is delivered by The Alan Turing Institute, the British Library, University of Cambridge, University of East Anglia, University of Exeter, Kings College London and Queen Mary University of London.
In-gallery interactives and video
The exhibition includes a video and two digital interactives that feature data from project researchers and Zooniverse volunteers:
- ‘How did machinery change accidents?’ features crowdsourced data from our ‘accidents’ tasks
- ‘What was a machine?’ features crowdsourced data from our ‘what was a machine?’ tasks
- ‘Living with Machines’ in Leeds: finding stories with data science