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A Quantitative Network-Based Study in the Visualisation and Suppression of Illicit Drug Networks in the UK

英国非法药物网络可视化和抑制的基于定量网络的研究

基本信息

批准号：
2889523
负责人：
金额：
--
依托单位：
University of Cambridge
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-2889523
关键词：
Quantitative Network Based Study Visualisation

项目摘要

The purpose of my proposed PhD thesis is to contribute to the existing literature studying the supply side of the illicit drug networks, and to provide policy setting suggestions in suppressing the drug-supply network operations within the UKusing the novel "Data First" from the UK Ministry of Justice. The thesis is split into three sections. The first section is composed of two articles carrying out exploratory studies, whereby the first visualises the regions covered byheterogenous drug-supplying groups through the matching of case-IDs between arrested individuals to identify cooffenders across both time and geographical regions. The visualisation will then be further disaggregated by internalhierarchy within each group (identified using a combination of data from the case report denoting the severity of crime and the number of registered co-offenders), and across heterogenous drug-types to investigate the differences in thesupply network structure. The second section assesses the causal mechanisms between co-offending and recidivism from a normative influence perspective. The purpose is to evaluate the plausibility of alternative policy setting insuppressing drug-supply networks by targeting negative normative influences in early criminal careers in order to reduce recidivism, and thus the supply of drug-suppliers. The third section concludes by assessing the relative efficacy ofheterogenous criminal punishments on recidivism among different drug-supplying offenders

我提出的博士论文的目的是有助于现有的文献研究的供应方的非法毒品网络，并提供政策制定建议，在抑制毒品供应网络的业务在英国使用的小说“数据第一”从英国司法部。本文分为三个部分。第一部分由两篇进行探索性研究的文章组成，其中第一篇通过匹配被捕个人之间的案件ID来查明跨时间和地理区域的共同犯罪人，从而可视化异质毒品供应集团所覆盖的区域。然后，可视化将进一步按每个组内的内部层次结构（使用来自案件报告的数据组合来确定，这些数据表明犯罪的严重程度和登记的共同犯罪者的数量）以及不同的毒品类型进行细分，以调查供应网络结构的差异。第二部分从规范影响的角度对共同犯罪与累犯之间的因果机制进行了评价。其目的是评估替代政策制定的可行性，通过针对早期犯罪生涯中的负面规范影响来抑制毒品供应网络，以减少累犯，从而减少毒品供应商的供应。第三部分最后评估了不同刑事处罚对不同毒品供应罪犯累犯的相对功效