Random selection in funding art

Martin O’Leary, Studio Community Lead at Pervasive Media Studio, Watershed, writes in Arts Professional magazine.

An ancient practice of balloting is being put to use in application processes with the twin aims of reducing unpaid labour and increasing fairness

In the world of funding schemes, many organisations have experimented with random selection, led by the New Zealand Health Research Council in 2013. These experiments have been intended to increase the variety of work funded, by reducing the need to write ‘safe’ proposals. Organisations like the Swiss National Science Foundation, Innovate UK, the Nigerian government, and the Volkswagen Foundation, have all trialled random selection processes for funding science and innovation.

In the arts, there have been several schemes from large organisations like Jerwood Arts, as well as smaller, more DIY organisations like The Uncultured. Alongside aiming to increase the variety of projects funded, random selection is seen as a fairer way of distributing funding, which reduces the power differential between artists and funders.

Reducing unpaid labour

For the last year at Watershed in Bristol, we’ve been experimenting with random selection across a range of our programmes, as an alternative to more traditional selection processes for applicants. We were initially inspired by Jerwood Arts and their 1:1 Fund, in which they introduced randomness to increase the fairness of their application process. We’ve found the real benefit of the system comes in reducing the stress and unpaid labour demanded from applicants.

Before we introduced random selection, our annual winter residency programme typically received up to a hundred applications, competing for two or three places on the programme. Each of these applications included a written project proposal, which could take days to produce. By our estimates, adding up the total time spent across all applicants, we were asking for months of unpaid work — far more than the amount of funded time we offered to successful applicants.

In our new model, we ask applicants to complete a simple form to confirm their eligibility. Then we randomly select a pool of twelve applicants who form a shortlist for the residencies. Each of these applicants has time with our team to discuss their idea, after which they write up a full proposal and have a more formal interview. Because of the limited numbers, we’re able to pay a small stipend to everyone on the shortlist to cover their time preparing the full proposal.

Three models: total, early, late

When we talk about random selection, people often assume we’re giving out residencies entirely at random, removing ourselves completely from the process. This is a version of the process that we call ‘total’ random selection. It’s the simplest way of doing things, and it has real advantages in terms of speed and transparency. However, it’s a difficult process to control, and may lead to undesirable outcomes.
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