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Machine learning in children’s services: does it work?

What Works for Children’s Social Care worked with four local authorities to develop models to predict eight outcomes for individual cases. The predictions all focused on a point within the children’s journey where the social worker would be making a decision about whether to intervene in a case or not and the level of intervention required, and looked ahead to see whether the case would escalate at a later point.

Commissioning in Children's Services: What works?

This report looks specifically at how outsourcing local authority children's services can be used to improve outcomes for one group of vulnerable children and young people in England and Wales: looked-after children and young people, particularly those with special educational needs and disabilities (SEND).

Identifying Inequalities in Child Welfare Intervention Rates

Academics from the universities of Coventry, Sheffield, Huddersfield, Cardiff, Edinburgh, Stirling and Queen's University Belfast received Nuffield Foundation funding to study inequalities in the proportions of looked-after children, or those subject to child protection plans, in the four UK nations.

Outcomes for Looked-after Children Attending Boarding Schools

    Research
  • Wednesday, August 30, 2023
    • | CYP Now
Researchers from the University of Nottingham were commissioned by the Royal National Children's Springboard Foundation (RNCSF) to evaluate its boarding school programme for children in care or on the edge of care and help understand the potential educational and economic benefits.

Association of Race/Ethnicity and Social Disadvantage with Autism Prevalence

Autism spectrum disorder is characterised by communication difficulties and restricted, repetitive patterns of behaviour, interests or activities. It is thought to affect between one and two per cent of the world's population. Researchers at the University of Cambridge, in collaboration with researchers from Newcastle University and Maastricht University, wanted to chart the prevalence of autism in different demographic groups to help with the planning of support services.

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