Somerset House Studios + Google Arts Launch The First Remote Artist-in-Residence Program

By November 22, 2017 No Comments

Somerset House Studios + Google Arts and Culture launch n-Dimensions, the first “remote” artist-in-residence program launched outside of the Google Arts and Culture Lab in Paris. A programme for an artist working with Machine Learning, this 4-month residency offers Somerset House Studio space, mentoring from Google Arts and Culture Lab engineers and Somerset House Studio resident Memo Akten, and access to the Lab in Paris.

Applications are invited from artists already experimenting with machine learning to develop a project with support from Google Arts and Culture Lab. Joining the Somerset House Studios community with a dedicated studio space for up to 4 months, the residency will work towards developing a machine learning project to be published online within the Somerset House Studios programme. Where artworks are not designed to live primarily online, the process and outcomes will be documented and the resulting film shared as a project outcome.

The residency includes;
4-month studio space at Somerset House Studios
3 advisory meetings with Google Arts and Culture Lab
2 days at the Google Arts and Culture lab in Paris
Artist fee £3750
Production budget £2000
Artist mentor: Memo Akten, resident of Somerset House Studios
Artist Outcome: online work + screen based element to be shown at Somerset House Studios

This opportunity is open to artists of all ages, at any point in their career. Though a mentor is provided alongside technical expertise from Google Arts and Culture Lab, the artist must have experience of working with machine learning and be capable of delivering a finished project by the end of the residency period. It is envisioned as a two-month full-time residency but allows flexibility for the artist to pursue other projects and work around the residency with an extended studio space for a total of four months.

Both new projects and projects in development but not yet completed are eligible. Candidates will be selected based on the strength of their project as well as their ability to deliver, and a demonstration that the residency will be beneficial.

07 December 2017: Deadline for applications
11 December 2017: Panel Selection
31 January 2018: Residency begins
30 April 2018: Residency ends
May 2018: Outcome presented

Apply here.

Featured Image Credit: Quino Al on UnSplash

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