Enforced alcohol abstinence: does it reduce reoffending?
9 March 2023
In this blog, ADR UK Research Fellow Dr Carly Lightowlers describes how she is using de-identified, administrative data to explore how alcohol-related treatment or monitoring requirements are being used and whether these are reducing reoffending. This project is using probation and criminal justice linked datasets made available through the Ministry of Justice Data First programme.
ADR UK invests further funding in AD|ARC: A UK-wide agricultural data programme
7 March 2023
ADR UK is providing a second phase of funding for the Administrative Data | Agricultural Research Collection (AD|ARC) programme. This four-nation project will increase understanding of farmer and farm household resilience in response to a changing economic and policy environment.
Ethnicity, gender and community sentences
7 March 2023
In this blog, ADR UK Research Fellow Dr Angela Sorsby describes her new project analysing how ethnicity and gender impact upon the requirements and outcomes of community sentences. This project is using the Ministry of Justice Data First probation and criminal justice linked dataset.
Why we’re exploring the potential of synthetic data to support public-good research
27 February 2023
In this blog, ADR UK Research Manager Balint Stewart sets out why we are funding a grant holder to explore the use and potential of synthetic data. Synthetic data mimics the structure and characteristics of real dataset, without containing any information about real people. This is a powerful tool in widening the use of administrative data for public good research, while protecting the security of public data.
Using linked data to evaluate special educational needs provision and offending risk
20 January 2023
Dr Alice Wickersham is an ADR UK Research Fellow exploring associations between school performance trajectories and offending behaviour. In this blog, she shares some opportunities and challenges around the potential for target trial emulation in this area of research. This involves applying design principles from randomised controlled trials to the analysis of observational datasets.