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Exploring data linking Adverse Childhood Experiences (ACEs) to crime

Exploring data linking Adverse Childhood Experiences (ACEs) to crime
探索将不良童年经历 (ACE) 与犯罪联系起来的数据
批准号:
2747980
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

项目摘要

项目成果

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相关文献

中文摘要
翻译
该项目旨在研究儿童时期遭遇的逆境(不良童年经历或ACEs)、参与刑事司法系统和其他不良生活结果之间的联系。在最初阶段,将进行文献回顾,以了解在研究中如何测量ACE,在哪些人群中,以及哪些结果与这些测量的ACEs相关。该项目将探索布拉德福德警方注意到的年轻人中不良童年经历(ACE)的性质、流行率和影响。这项研究将探索ACE与受害者/犯罪者轨迹之间的关系,为包括(但不限于)警察在内的当地服务提供商提供证据,支持研究地点内外儿童和家庭的早期干预工作。在完成对相关文献的范围审查后,将使用相关的管理数据构建关于ACE可能可操作的假设。这些假设将使用定量统计技术在大量人口水平的数据集中进行测试。
英文摘要
This project aims to examine the associations between adversity suffered during childhood (Adverse Childhood Experiences or ACEs), engagement in the criminal justice system, and other poor life outcomes. In an initial phase, a literature review will be conducted to understand how ACEs have been measured in research, within which populations, and which outcomes have been associated with these measured ACEs.The project will explore the nature, prevalence and impact of adverse childhood experiences (ACEs) amongst young people coming to police attention in Bradford. The research will explore the relationship between ACEs and victim/offender trajectories to provide local service providers, including (but not limited to) the police, with evidence to support early intervention work with children and families within and beyond the study site.Following completion of a scoping review of the relevant literature, hypotheses will be constructed about the possible operationalisation of ACEs using linked administrative data. These hypotheses will be tested in large population level sets of data using quantitative statistical techniques.
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: