Takes place with a fixed time and schedule
to 18th June
Galvanising Change: using emerging technology to support climate justice storytelling
Research and develop Galvanising Change, an experiential audio installation using a wearable sensor to explore climate justice stories. Use desk research, audience data and self-testing to improve the audience journey, or work on story development by prototyping how machine learning could inform language choices to foster conversation and action.
Research Hosts: Artist Maya Chowdhry & Researchers, Dr Erinma Ochu (iSchool) & Professor Keeley Crockett (Computing)Galvanising Change is an experiential audio Installation exploring climate change, for one audience member at a time. Devised by artist, Maya Chowdhry, it uses a wearable sensor to measure the audience’s galvanic skin response to measure anxiety/excitement, or calmness, whilst the audience listens to a climate justice story. The audience member’s readings trigger different versions of each part of the story, depending on whether they feel calm or anxious. Evidence suggests that anxiety can impact the ability to process information and make decisions. This is the case for those who have already experienced stress due to, for example, lived experience of racism, and /or climate anxiety. This means that climate justice stories, which may feature racism, need to be crafted with care, so that audience members are able to process their emotions, discuss their experiences, ask questions and consider actions. The first version of the Installation, was developed by the artist during the Net//Work Residency with Digital Art Studios and The British Council. It was presented at, and live streamed from, Hulme Community Garden Centre, Manchester in May 2021. You can watch an extract from the experience here. Maya is now researching and developing the installation with research funding from #OpenLight, a climate and culture equity platform for artists and entrepreneurs founded by Dr Erinma Ochu at MMU. The opportunity This research internship offers students the opportunity to work with the artist and gain input from researchers from the arts, humanities and computing science to work on one of the following:
- Audience Journey: review, creatively document and revise the audience journey using digital design tools, informed by user experience research, human centred design and human-computer interaction
- Wearable Sensor: Review, compare and contrast the use of galvanic skin sensors to devise a baseline to improve the triggering of the choice of story experienced by different audience members
- Machine Learning and emotive language: Research, devise and document an approach to explore the role of machine learning tools to improve the choice of emotive language in the climate justice stories to reduce anxiety, foster conversation and action
- Audience experience maps highlighting areas for improvement and an updated audience experience map to inform the next version of the installation
- A briefing document offering insights and recommendations to improve the galvanic skin response elements within the installation
- A briefing document outlining the rationale, methodology, tools and test results from machine learning experiments with key recommendations and next steps to develop the tool further
- A pitch presentation deck presenting each students’ work and key references
- An online repository of annotated key references, using referencing tool, zotero
- An online repository of code, using github.
- A short video sharing learning from across the three elements of the project.
- Key Research Skills
- Physical Computing
- Researching Race and Racism
In A Nutshell...
- Contribute... to a pioneering climate justice installation
- Collaborate... with an artist, researchers and fellow students
- Flexible working... online and/or in person COVIDsafe working
- Document... work to share progress and insights
10/05/22 to 31/05/22
Onboarding Get to understand the exhibition, and meet the artist and team before embarking on your independent work
10/05/22 to 18/06/22
Research Internship Opportunity to undertake research with an artist working on developing an exhibition