ADR UK Data First Evaluation Fellowship

ADR 英国数据第一评估奖学金

• 批准号: ES/X011348/1
• 负责人: Ian Brunton-Smith
• 金额: $ 18.26万
• 依托单位: University of Surrey
• 依托单位国家: 英国
• 项目类别: Fellowship
• 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=ES%2FX011348%2F1
• 关键词: ADR; UK; Data; First; Evaluation

Until recently, the large amounts of administrative data routinely collected about offenders as they are moved through the Criminal Justice System have been inaccessible to research. Instead, our understanding has largely been restricted to static insights into particular points in the journey. The Ministry of Justice ADR UK linkage project has transformed this picture, allowing offenders to be tracked across all stages of the Criminal Justice System. This opens up vast potentials for cutting edge research that recognises the complex interconnections that exist between different parts of the Criminal Justice System. For example, this could help us to understand how and why some of those people that are sentenced by the courts return quickly (and repeatedly) following the completion of their sentence, whilst other offenders are never seen again. The effects of more complex criminal justice histories including multiple transitions back through the system can also be examined as well as the impacts of particular interventions on particular types of individual. But the complexity and scale of this new wave of linked data necessitates new working approaches and understanding of new analytic techniques. The fellowship is an unrivalled opportunity to work directly alongside Ministry of Justice analysts to realise the full potential of this linked data. Working collaboratively, I will identify a number of clearly defined research questions that meet Ministry of Justice priorities and can be addressed with this data. In particular, the opportunities afforded by linking information from across different Criminal Justice stages will be exploited. The specific questions will be guided by my own academic understanding of individuals journeys through the Criminal Justice System built up over more than 15 years as an empirical criminologist. They will also appropriately reflect the structural complexities inherent in the linked data sources including correctly engaging with the role of context (the effect of being dealt with in a specific court and/or prison) and the fact that prior experiences shape subsequent ones. Research questions will be refined in consultation with Ministry of Justice analysts in an interactive workshop. This will be informed by some initial 'proof of concept' data analysis exercises with the available data. Here the emphasis will be on providing a rapid evidence base for further discussion rather than on selecting the most technically sophisticated analysis solutions. These rapid data deep-dives will help to highlight specific data challenges, clarify the central research question, and facilitate further discussion and question development. The most promising questions would then be worked up into full-scale empirical projects supported by more statistically robust analytic approaches that appropriately reflect the patterns that emerge in the data. Crucial to the fellowship is ensuring a legacy for future research. To achieve this, in addition to the more standard publication of key findings in academic and policy outlets, all work will be written up within data analysis worksheets. These worksheets link directly to the raw data and will run the computational code required to complete the data analysis, whilst also including explanatory text and publishable outputs. Keeping all elements of the data processing, analysis, and reporting within the same worksheet will ensure fully replicability of the empirical work, whilst also allowing new users to quickly adapt the code and/ or text to generate new reports. I will also run workshops for Ministry of Justice analysts where relevant.

直到最近，在罪犯通过刑事司法系统转移时，例行收集的大量有关罪犯的行政数据一直无法进行研究。相反，我们的理解在很大程度上局限于对旅程中特定点的静态洞察。英国司法部的ADR链接项目改变了这一局面，使罪犯能够在刑事司法系统的所有阶段得到追踪。这为认识到刑事司法系统不同部分之间存在的复杂相互联系的尖端研究打开了巨大的潜力。例如，这可以帮助我们理解一些被法院判刑的人如何以及为什么在服刑结束后迅速(和反复)返回，而其他罪犯则再也看不到了。还可以审查更复杂的刑事司法史的影响，包括通过该系统多次过渡的影响，以及特定干预措施对特定类型个人的影响。但是，这波新的关联数据的复杂性和规模需要新的工作方法和对新分析技术的理解。该奖学金是一个无与伦比的机会，可以直接与司法部的分析师合作，实现这种关联数据的全部潜力。通过合作，我将确定一些明确定义的研究问题，这些问题符合司法部的优先事项，可以用这些数据来解决。特别是，将利用将不同刑事司法阶段的信息联系起来所提供的机会。具体的问题将以我自己对个人经历刑事司法系统的学术理解为指导，这些系统是作为一名经验主义犯罪学家在15年多的时间里建立起来的。它们还将适当地反映关联数据来源所固有的结构复杂性，包括正确地处理上下文的作用(在特定法院和/或监狱处理的影响)，以及先前的经验塑造后续经验的事实。将与司法部分析员协商，在互动讲习班上改进研究问题。这将通过利用现有数据进行一些初步的“概念验证”数据分析活动来实现。这里的重点将是为进一步讨论提供快速的证据基础，而不是选择技术最复杂的分析解决方案。这些快速的数据深度挖掘将有助于突出特定的数据挑战，澄清中心研究问题，并促进进一步的讨论和问题的发展。然后，最有希望的问题将被加工成全面的经验性项目，并得到更强大的统计分析方法的支持，这些方法适当地反映了数据中出现的模式。该奖学金的关键是确保为未来的研究留下遗产。为了实现这一点，除了在学术和政策机构上更标准地公布关键发现外，所有工作都将写在数据分析工作表中。这些工作表直接链接到原始数据，并将运行完成数据分析所需的计算代码，同时还包括说明性文本和可公布的产出。将数据处理、分析和报告的所有要素保持在同一工作表中将确保经验工作的完全可复制性，同时还允许新用户快速调整代码和/或文本以生成新报告。我还将在相关情况下为司法部分析员举办讲习班。