How can we ensure better targeting of interventions within pre-sentence reports?

Background

We want to address the causes of reoffending using personalised evidence, live data, and digital services to better target and sequence interventions. To do this we need to build the evidence base that can inform the development of more holistic measures than ‘proven reoffending’, factoring in a broader range of outcomes.

Next steps

We can be contacted at the following email address: evidence_partnerships@justice.gov.uk.

Source

This question was published as part of the set of ARIs in this document:

Areas of research interest

Related UKRI funded projects


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    The project focuses on reducing reoffending and targeting interventions, which partially addresses the question. The authors have the necessary expertise to conduct the research.

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    The project examines the use of enforced alcohol abstinence as an intervention to reduce reoffending, which partially addresses the question. The authors have the necessary expertise to conduct the research.

  • ADR UK Data First Evaluation Fellowship

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    Lead research organisation: University of Surrey

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    The project focuses on analyzing linked administrative data to understand the complex interconnections in the criminal justice system, but does not directly address the question.

  • Education and social care predictors of offending trajectories: An administrative data linkage study

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    Release on temporary licence (ROTL) provides eligible people currently in prison the opportunity to prepare for resettlement in the community through day or overnight release. The intended impact of ROTL is to reduce reo...

    Funded by: ESRC

    Lead research organisation: Queen Mary University of London

  • Regulating Justice: The Dynamics of Compliance and Breach in Criminal Justice Social Work in Scotland

    Not only does Scotland imprison more people than most European countries, but our prison numbers are also rising despite a fall in crime levels. The Scottish Government is attempting to reduce imprisonment through increa...

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    Lead research organisation: University of Strathclyde

  • Machine learning methods for studying the trajectories of young offenders in administrative data

    Administrative data has the potential to open new and invaluable research opportunities to better understand societal phenomena and support evidence-based policy-making. One research area administrative data can signific...

    Funded by: ESRC

    Lead research organisation: Institute for Fiscal Studies

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