The Patterns of Fashion Award

The Patterns of Fashion Award honours the work of the dress historian Janet Arnold (1932-1998), a founder member of the Society.

An award of £500 is open to students studying on costume and fashion-related education courses that involve the design and realisation of costume. It is awarded to the student who has, in the opinion of the judges, produced a reconstructed garment from a pattern in one of the Janet Arnold Patterns of Fashion books 1-4 – or C17th Women’s Dress Patterns, books 1 &2, edited by Susan North and Jenny Tiramani that reflect the high standards presented in these books.

You should enter this competition not only for the possibility of winning but for the experience that will leave you with a portfolio of skills and an excellent example of your own workmanship. The competition is about your development and understanding of period craft skills in pattern cutting and sewing.

Patterns of Fashion are saddened to see that access to museums and archives is still limited by closures due to Covid19. We will be taking these restrictions into account in the judging of this award and hope that students will still be encouraged to enter their work.

The Awards are an important part of the Costume Society’s output and we are keen to continue to promote the high standard of craft and artistry that they produce.

Lockdown notice

We understand that everyone is working under Covid19 restrictions and that you may have limited access to facilities, but we hope that you will continue to work on your entries. Please photograph your finished garment to the best of your ability, preferably on a mannequin. As soon as we have further information on the progression of lockdown and the possible opening up of universities we will be in touch again.

Sign up to receive occasional updates

Please indicate your consent to our use of cookies

Some cookies are required for our site to function. Optional cookies are used for functionality (remembering recently visited pages) and performance (Google Analytics). Visit our privacy and cookies page to find out more, and manage your consent at any time.