QSS are delighted to welcome exhibition submissions from artists and curators at all stages of their career to be included in our 2027/28 Gallery Programme.

We are able to offer a number of exhibition opportunities in both Gallery 1 and Gallery 2 and are interested in solo or group proposals in any fine art medium.

Making your proposal

Interested artists should fill out a Google Form and email between six and eight images of work (as a single PDF) and an artist c.v* (as a single PDF) with the subject heading 'QSS 2027/28 Open Call Supporting material'. Please use the same email address as entered in this form.

*For group shows please provide c.v's for all exhibiting artists.

Selection criteria

QSS exhibition proposals are assessed by a rotating panel of current QSS members and are assessed on the following criteria.

• Quality and strength of submitted work (50%)
• Strength and clarity of exhibition proposal (30%)
• Feasibility within technical and financial parameters (10%)
• Inclusion of outreach (10%)

*Artists applying with access requirements are invited to email gallery@queenstreetstudios.net to discuss how we might help reduce barriers in making your application. To ensure we have enough time to meet your requirements, please reach out no later than 18th October 2026.

Application deadline: Sunday 1st November 2026, 11pm.

To support the living and working conditions of artists, QSS will pay an exhibition fee of £250.00 per show. To help us assess the feasibility of your proposal, please provide budget notes on how you might fund ambitious elements of your proposal.

Incomplete applications will not be assessed – please remember to include your supporting material via email.

Successful applicants will be notified by early December 2026.

Due to the high number of expected applications and as the selection panel works on a voluntary basis, we are not able to provide individual feedback on unsuccessful applications.

QSS does not promote or accept artworks that are solely created via the means of cloud-based generative AI services.