What Works for Children’s Social Care (WWCSC) has funded three PhD studentships in the field of quantitative children’s social care. The studentships will start in Oct 2021, with £19,285 per annum pro rata tax-free stipend for a duration of 3 years (full time) or 5 years (part time).
The students will be based in Quantitative Social Science (QSS) within UCL Social Research Institute with some time spent at WWCSC. Studentships will be supervised by an interdisciplinary team from UCL and the London School of Hygiene and Tropical Medicine (LSHTM), with input from WWCSC. Students will benefit from training and development opportunities and the critical mass of expertise in quantitative children’s social care at UCL, LSHTM and WWCSC. As part of a cohort of three studentships, each student will also benefit from a shared journey and significant visibility within the field.
Who should apply?
These studentships would be suitable for highly ambitious researchers who want to make a real impact in children’s social care policy, making use of newly linked, population-based data from across sectors. We are looking for candidates with excellent communication skills, who are motivated and proactive, who will be comfortable engaging with policy stakeholders, and who have a strong track record in quantitative methods. Candidates should also be willing to learn qualitative methods.
We invite applications from outstanding and highly motivated candidates who have a Masters degree in epidemiology, quantitative social/geographical science, GIScience, data science, modelling or similar with a substantial quantitative component. An undergraduate degree (1st class honours or 2.1) in a relevant discipline with demonstrable strong quantitative component is desirable quantitative component is desirable.
We particularly welcome applications from social workers and/or people with experience of children’s social care.
The studentship will cover fees for Home students. Information about EU and overseas fees will follow, please check back. Further information about Fee Status Assessment will be made available soon.
Each student will work on a distinct project, applying quasi-experimental methods to administrative data from health, education, social care and family courts in order to evaluate the impact of an intervention in the social care sector on outcomes for children and young people.
The interventions which will be evaluated are:
1. Multi-Agency Safeguarding Hubs (MASH) are an area-level intervention which usually involves co-locating staff from children’s social care, health agencies and the police to enable better decision making about children who have contact with children’s social care. The student would conduct a national survey and stakeholder consultations to establish if, when, and in what form MASH were introduced across all 152 local authorities in England. The student would evaluate the impact of MASH on rates of entry to care, educational outcomes and hospitalisations for adversity-related reasons for children referred to children’s social care.
2. Virtual Schools are a team of education professionals who support Looked-After Children and children previously in care. An Ofsted study of 70 children in nine local authorities (2014) concluded that Virtual Schools were promising in terms of educational achievement and reducing absences and exclusions. The student would work with Ofsted and the supervisory team’s local authority networks to establish when and how Virtual Schools were implemented in each local authority and evaluate their impact on educational outcomes, family re-unification/re-entry to care and hospitalisations for adversity-related reasons.
3. Family Drug and Alcohol Courts (FDAC) are alternative courts for care proceedings, specially designed to work with parents who struggle with drug and alcohol misuse. There are currently nine specialist FDAC teams serving families in 20 local authorities. The student would work with the WWC-CSC to extend the on-going evaluation of FDAC, which will include analyses of differences in rates of entry to care, child educational outcomes, and parental hospitalisations for adversity-related reasons.
To evaluate the impact of interventions, students will gain access to data sources which provide linked, longitudinal data for children and their mothers, including:
- Hospital admissions data (Hospital Episodes Statistics, HES) linked to data from the family courts (Children and Family Court Advisory and Support Service)
- HES linked to data from schools and social care (National Pupil Dataset, NPD) and Family Nurse Partnership participation data
- The ECHILD Database which links data from hospitals (HES), schools (NPD) and children’s social care (Children Looked After and Child in Need datasets)
Each student will have the opportunity to incorporate qualitative methods.
Each student will have a named principal and co-supervisor but will receive supervision from across the supervisory team and, where relevant, from wider networks.
Lorraine Dearden, Professor of Economics and Social Statistics, UCL Social Research Institute
Jenny Woodman, Associate Professor in Child and Family Policy, UCL Social Research Institute
Jan van der Meulen, Professor of Clinical Epidemiology, London School of Hygiene and Tropical Medicine
Katie Harron, Associate Professor of Quantitative Methods, UCL GOS Institute of Child Health
Louise Mc Grath-Lone, Research Fellow in Public Heath, UCL Institute of Health Informatics
How to Apply
To apply for this studentship, applicants should submit an application with a 2 page CV and a one-page cover document outlining why you are a suitable candidate for the PhD. The submission link will be available on this webpage from 22nd April.
The deadline for applications is 4th May 23:59. Incomplete applications will not be considered for this studentship.
Interviews will be held virtually, date to be confirmed.
For any queries regarding the projects please contact:
Lorraine Dearden, firstname.lastname@example.org or
Jenny Woodman email@example.com
For any queries regarding the application process please contact firstname.lastname@example.org