reanimating data: creative methods of knowledge exchange
TRANSCRIPT
Reanimating Data: Creative Methods of Knowledge Exchange
Ester McGeeney
Centre for Innovation and Research in Childhood and Youth Studies, University of Sussex
BSA Annual Conference 2014
‘Good sex’?: Building evidence based practice in young people’s sexual health
ESRC knowledge exchange project: (June 2013 – June 2014)
What is ‘good sex’?: Young people, sexual pleasure and sexual health services
PhD research (February 2009 – June 2013)
What is good sex?: Young people, sexual pleasure and sexual health services
16 individual interviews with young people (16-22)
4 focus groups with young people (16-22).
A survey of 278 young people aged 16 – 25.
+ A survey of 39 practitioners working with yp.
From research practice
• A training course for practitioners on pleasure.
• A film for young people
• A film for practitioners
• A film for the general public
• A review of the evidence on including pleasure in sexual health work with yp.
Process vs product
• Who decides what’s left in and what’s left out?
• Who decides what data ‘means’ or how it should be interpreted?
• What’s more important – the process of knowledge exchange that we engage in or the products that we produce as a result?
‘Look out through the eyes of the person who is talking. You are looking out into the environment that you were imagining. What’s above you? Look down at your feet-look to one side and then to the other. What is the air like? Are you inside? Is it warm? Cool? What’s the quality of the air like?’
Reanimating data; participatory and creative methods for what?
• Messy, open, creative space for collaborative knowledge (re)creation, interpretation and exchange, an ‘opening up of possibilities’ (Redwood 2008) outside of academia.
• Creative possibilities for sex education that engage with emotion, imagination and desire.
• Creative and participatory research methods: young people as analysts and meaning makers, process as ‘data’.
Process vs product
• Who decides what’s left in and what’s left out?
• Who decides what data ‘means’ or how it should be interpreted?
• What’s more important – the process of knowledge exchange that we engage in or the products that we produce as a result?