School to Prison Pipelines: Modelling risk trajectories for children and young people with neurodisabilities in contact with the criminal justice syst

学校到监狱的管道：为患有神经障碍的儿童和青少年与刑事司法系统接触建立风险轨迹模型

• 批准号: 2399774
• 金额: --
• 依托单位: UNIVERSITY OF EXETER
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2399774
• 关键词: Prison; Pipelines; Modelling; risk; trajectories

Disabled and Disempowered: Administrative data studies on the criminalisation of, and rehabilitative outcomes for, people with neurodisabilitySchool to Prison Pipelines: Modelling risk trajectories for children and young people with neurodisabilities in contact with the criminal justice system.Applying advanced statistical models, including machine learning and multilevel modelling, to large forensic datasets. This includes datasets from prisons and from alternative provision school settings. The aim of this is to better understand and predict risk of outcomes such as violence, poor mental health, and recidivism in prisoners, and contact with the criminal justice system in adolescents.

残疾和被剥夺权利：关于神经残疾人士的刑事定罪和康复结果的行政数据研究从学校到监狱的管道：与刑事司法系统接触的神经残疾儿童和青少年的风险轨迹建模。将先进的统计模型，包括机器学习和多层次建模，应用于大型法医数据集。这包括来自监狱和另类学校设置的数据集。这样做的目的是更好地了解和预测结果的风险，如囚犯中的暴力、精神健康状况不佳和再犯，以及青少年与刑事司法系统的接触。