• What are the links between genomics and SEND (Special Educational Needs and Disabilities) conditions, and how might we best prepare educators, care-providers, parents, and children for increased genomics data?
Background
The early years in childhood are crucial to supporting opportunity. This pillar of the Opportunity Mission aims to set every child up for the best start in life, measured against the proportion of 5-year-olds reaching a good level of development in the early years foundation stage. Key research topics include early identification of additional needs and supporting families to help children learn and develop, including through provision of high-quality childcare.
Full details can be found at: https://www.gov.uk/government/publications/department-for-education-areas-of-research-interest
Next steps
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Related UKRI funded projects
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IMAGINE-2: Stratifying Genomic Causes of Intellectual Disability by Mental Health Outcomes in Childhood and Adolescence
In England, there are over a million people with learning disabilities, a quarter of whom are children of school age. Most moderate to severe intellectual disability (ID) has a genetic cause. In order to identify those g...
Funded by: MRC
Lead research organisation: UNIVERSITY COLLEGE LONDON
Why might this be relevant?
Addresses the links between genomics and SEND conditions, and aims to prepare educators, care-providers, parents, and children for increased genomics data.
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SEEN: Screening Early for Educational Needs
Context and Challenge The special educational needs and disabilities (SEND) system in England is in crisis. Evidence-based solutions are required to ensure that children’s SEND needs are identified early so that they can...
Funded by: ESRC
Lead research organisation: University College London
Why might this be relevant?
The project specifically focuses on early identification of SEND needs and provides evidence-based solutions to support children's educational outcomes.
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Leveraging the impact of diversity in neurodevelopmental disability by integrating machine learning in personalized interventions.
Neurodevelopmental disability (NDD), which is an umbrella term for autism, attention deficit, and intellectual and learning disability, affects 13% of the population. It has major economic and quality-of-life impacts on ...
Funded by: FIC
Lead research organisation: European Bioinformatics Institute
Why might this be relevant?
Focuses on leveraging diversity in neurodevelopmental disability using machine learning for personalized interventions, which partially addresses the question.