MPhil/PhD Statistics (Assessing inequality in the Criminal Justice System using novel causal inference methods and Bayesian spatial models)

硕士/博士统计学（使用新颖的因果推理方法和贝叶斯空间模型评估刑事司法系统中的不平等）

• 批准号: 2905812
• 金额: --
• 依托单位: London School of Economics and Political Science
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2905812
• 关键词: MPhil; PhD; Statistics; Assessing; inequality

The aim of this project is to use causal inference methods to corroborate the conclusions of the Lammy Review (2017) by quantifying the impact of discrimination in sentencing using Data First: Criminal Justice System Linked Datasets.The overall aims are to understand:Whether and how early life course events such as education and being in care are impacted by systematic discriminationHow early experiences impact involvement with the Criminal Justice system later in life and whether discrimination continues to play a part Whether there are regional differences (e.g. London vs the rest of England)The following methods are to be used:Longitudinal mediation analysis to determine the impact of being in care and educational attainment on later outcomes such as violence and arrest and how discrimination confounds these relationships;Proximal causal inference to determine the impact of discrimination on the pathway between life events in relation to violence and involvement with the Criminal Justice System;Bayesian Spatial analysis to address spatial/regional differences in discrimination.

该项目的目的是使用因果推理方法，通过使用Data First：Criminal Justice System Linked Datasets量化量刑中歧视的影响，来证实Lammy Review（2017）的结论。总体目标是了解：教育和护理等早期生命过程事件是否以及如何受到系统性歧视的影响早期经历如何影响晚年对刑事司法系统的参与以及歧视是否继续发挥作用是否存在区域性歧视差异（例如，伦敦与英格兰其他地区）将使用以下方法：纵向中介分析，以确定受照料和教育程度对暴力和逮捕等后来结果的影响，以及歧视如何混淆这些关系;近因因果推理，以确定歧视对与暴力有关的生活事件和卷入刑事司法系统之间途径的影响;贝叶斯空间分析，以解决歧视的空间/区域差异。