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Judicial Decision Data Gathering, Encoding and Sharing

Judicial Decision Data Gathering, Encoding and Sharing
司法决策数据收集、编码和共享
批准号:
EP/Y035992/1
负责人:
David Windridge
金额:
$16.92万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --

项目摘要

项目成果

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中文摘要
翻译
CHIST-ERA法官项目的总体目标是利用最先进的自然语言处理和人在循环技术,为法律研究人员提供新的开放软件和工具,以实现广泛、灵活和持续的元注释功能(自动化和雇用领域专家在循环中)。该功能适用于具有不同法律宪法的司法管辖区(波兰,英格兰和威尔士)的刑事法院的法律记录/判决。因此,我们寻求消除目前阻碍司法决策研究的资源、语言、数据和格式不统一的障碍。通过将这种新的软件、工具和数据资源在公共存储库上开放,研究人员将有权开发和实证检验司法决策理论,并解决司法政策和实践相关问题。公共(法律)机构的研究人员也可以出于自己的目的重用这些数据。因此,开放科学的应用也弥补了实证法律研究领域在采用开放科学原则方面进展缓慢的实质性差距。由此产生的带注释的泛国家数据集和工具集将构成欧洲最大、最全面的开放和可重复使用的法律研究储存库,用于研究司法决策。该项目将开发一种基于人工智能的解决方案(工具),研究人员可以使用它来检查法庭记录和/或书面法律判决书中的非结构化文本数据。在此过程中,我们将创建欧洲现存最大的泛国家法律数据集。该工具将允许研究人员以资源、成本效益和时间效率高的方式访问并逐步丰富大量、详细和有代表性的法律数据样本(从我们已经提供的数据开始)。根据开放科学原则制作和调整的数据集,并从可信的数据存储库中公开提供,也将可供其他人在法律管辖范围内和跨法律管辖范围内重复使用,包括意想不到的研究人员/用户(例如,来自法律机构)。事实上,该项目将提供的开放软件和人在环路(HITL)工具将使非人工智能专家的ECR研究人员能够询问司法判决数据,并确定新的研究询问线。因此,该工具和由此产生的数据将扩大方法论的视野。从长远来看,我们的项目将有助于对法院的司法政策和实践采取科学、循证的方法。该项目体现并体现了地平线欧洲倡议中关于开放研究数据的原则,应用开放科学原则和开放基础设施的利用。
英文摘要
The overall goal of the CHIST-ERA JuDDGES project is to harness state-of-the-art Natural Language Processing & Human-In-The-Loop technologies to provide legal researchers with new Open software and tools that enable extensive, flexible and on-going meta-annotation capability (both automated and employing domain experts in-the-loop). This capability is applied to legal records/judgments from criminal courts across jurisdictions with varied legal constitutions (Poland, England & Wales).We hence seek to dissolve barriers of resources, language, data & format inhomogeneity that currently impede research on judicial decision making. In making this new software, tools and data resource open on a public repository, researchers will be empowered to develop and empirically test theories of judicial decision making and address judicial policy and practice-relevant questions. Researchers from public (legal) institutions can also reuse the data for their purposes. The application of Open Science hence also rectifies a substantial gap in the empirical legal research domain that has been slow in adopting Open Science principles. The resulting annotated pan-national dataset & toolset will constitute the largest and most comprehensive open and reusable legal research repository in Europe for research on judicial decision-making.This project will develop an AI-based solution (tool) that can be used by researchers to examine unstructured textual data in court records and/or written legal judgments. In doing so, we will create the largest extant pan-national legal dataset in Europe. The tool would allow researchers to access and progressively enrich large, detailed, and representative legal samples of data (starting from what we have made available) in a resource- and cost-effective as well as time-efficient way. The datasets so produced and adjusted to Open Science principles and openly available from a trusted data repository, will also be accessible to others for re-use both within and across legal jurisdictions, including the unexpected researcher/user (e.g., from legal institutions). Indeed, the open software & Human-In-The-Loop (HITL) tools that the project will provide will enable non-AI-specialist ECR researchers to interrogate judicial decision data and identify novel lines of research interrogation. The tool and resultant data will thus expand methodological horizons. In the long-term, our project will contribute to a scientific, evidence-based approach to judicial policy and practice in the courts. The project embodies and exemplifies the principles enshrined within Horizon Europe initiatives on open research data, applying Open Science principles and the utilisation of Open Infrastructures.
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis