Predicting their futures: Think Family as a case study
ncreasing pressures on Local Authorities to utilise reduced workforce and economic resources in child and family welfare contexts and drivers emanating from serious case reviews of child deaths where services have not identified children at risk have coincided with the rise in techno-solutionism in child welfare particularly related to data linkage and predictive analytic modelling of risk. The increasing possibilities of artificial intelligence/ machine learning in these systems are driving a huge expansion in the use of data-driven systems as pre-emptive solutions to directing scant human resources in targeted ways.
A research team from Bristol University’s Centre for Sociodigital Futures have been investigating a data linkage and predictive model called Think Family in Bristol, UK and this session will consider what they have learnt about the drivers, assumptions and impacts of this system on children and families in the city. It will also enable participants to experience some of the methods they have employed with young people in Bristol to consider data systems and AI in their lives.
The workshop will be led by Debbie Watson, Professor of Child and Family Welfare at Bristol University, co-director of the Centre for Socio-digital Futures and Director of the Brigstow Institute together with Moestak Hussein who is a community involvement manager within the NHS and a long-standing community champion in Bristol
Places are limited, please contact tove.samzelius@mau.se if you want to attend.
