Experimental results on data analysis algorithms for extracting and interpreting edge feature data for duct tape and textile physical fit examinations

A physical fit is an important observation that can result from the forensic analysis of trace evidence as it conveys a high degree of association between two items. However, physical fit examinations can be time-consuming, and potential bias from analysts may affect judgment. To overcome these shortcomings, a data analysis algorithm using mutual information and a decision tree has been developed to support practitioners in interpreting the evidence. We created these tools using data obtained from physical fit examinations of duct tape and textiles analyzed in previous studies, along with the reasoning behind the analysts' decisions. The relative feature importance is described by material type, enhancing the knowledge base in this field. Compared with the human analysis, the algorithms provided accuracies above 90%, with an improved rate of true positives for most duct tape subsets. Conversely, false positives were observed in high-quality scissor cut (HQ-HT-S) duct tape and textiles. As such, it is advised to use these algorithms in tandem with human analysis. Furthermore, the study evaluated the accuracy of physical fits when only partial sample lengths are available. The results of this investigation indicated that acceptable accuracies for correctly identifying true fits and non-fits occurred when at least 35% of a sample length was present. However, lower accuracies were observed for samples prone to stretching or distortion. Therefore, the models described here can provide a valuable supplementary tool but should not be the sole means of evaluating samples.     

E-Discovery of electronically stored information in commercial litigation

Much of corporate and business information is today created and stored in electronic format. Emails, software source codes, word processed documents, metadata, spreadsheets and other forms of electronically stored information (ESI) are easier than paper documents to manage, store, search and transfer. This has led to overwhelming volumes of ESI being produced and potentially discoverable in commercial litigation than is the case with paper documents. With the explosion of ESI, the law on discovery must stay abreast with new technology. Electronic discovery (e-discovery) is an evolving field giving rise to unique challenges. This paper discusses how Singapore has responded to these challenges through updated rules of discovery and recent court decisions. These latest significant developments reflect consistent efforts to keep pace with modern technology and global trends on e-discovery in commercial litigation.     

User control of personal information concerning mobile-app: Notice and consent?

This paper discusses the practical value of the traditional privacy protection measure “notice and consent” in the mobile context. It analyses the weakness of this approach in the mobile context through a user survey and subsequent analysis. This paper will demonstrate, in the context of mobile commerce, the simple ‘notice and consent’ measure may not be a very useful measure to enhance control; moreover, shifting the burden of privacy protection to data subjects' self-control may not be sufficient for meaningful privacy protection in the era of Big Data. Given this reality, some new solutions, such as providing meaningful alternatives, use of more effective privacy protection software, and better design of warnings and nudges are suggested.     

实验室信息管理系统在毒品检测实验室的应用

介绍了一种基于计算机数据库平台的实验室信息管理系统（Laboratory Information Management System,简称LIMS）为平台的毒品检测工作的质量保证体系,将毒品检测工作的一般流程和LIMS的基本功能结合,制作建立在LIMS体系架构下的每个流程的交互界面和监控程序.实现了毒品实验室的样品管理、样品状态监控、数据的录入和采集、样品分析、工作流程管理、报告的审核和发布等信息管理功能.通过在毒品检测实验室建立LIMS,充分辅助了实验室的质量管理工作,有效减少了管理工作量,使实验室工作更高效、准确和规范.     

我国个人信息匿名化的法律标准与规则重塑

大数据时代,匿名化规范既是个人信息保护中风险预防的手段,也是我国数据经济发展中数字流通的法律基础,但匿名化的法律标准在我国法律中还有待明确。欧盟已通过《一般数据保护条例》提出明确的匿名化标准,但该条例基于流程设置的标准适用于欧盟境内尚可,适用于我国或显得过于严苛,有碍数字经济的发展。我国个人信息匿名化法律标准与规则的重塑应当考虑环境、再识别风险,建议进行功能性匿名化。将比例原则应用到我国匿名化法律标准和规则的重塑之中,并将其引入到评估匿名信息接收者的风险等级,有助于降低个人信息被再识别的风险亦有利于匿名化的法律标准制定和规则构建。     

浅析公安科技信息化建设实践中应处理好的三个关系

公安科技信息化建设是公安机关在信息时代推动科技进步、实施“科技强警”战略，实现公安工作跨越式发展和可持续发展的重要手段。当前公安科技信息化建设面临着不小的压力，公安部门应统筹协调、综合处理形成上下对接融合、左右协同配合以及内外信息共享的关系，以便于在公安工作转型升级阶段，为公安科技信息化建设提供更多动力。     

刑事诉讼信息共建共享问题研究

对比司法信息化建设整体迅猛发展，刑事诉讼信息的共建共享明显滞后，公检法机关的信息化建设呈现信息孤岛现象。这造成司法资源的大量浪费，成为阻碍司法信息化发展的基础性难题。刑事诉讼信息互联互通协议是指公安、检察院、法院等办案机关就办案信息共享和传递问题达成共识。这种协议可以有效地打破刑事办案机关之间的数据壁垒，是推进刑事诉讼共建共享的现实路径。协议需要充分应对信息共建共享可能给以审判为中心的诉讼架构、卷宗移送模式、控辩平等关系、司法责任带来的负面效应，协调技术理性和司法规律的关系。同时，刑事诉讼信息共建共享在运行中需处理好以下具体问题：建议将政法委作为协议主责机关，制定长远的发展计划；进一步推动卷宗电子化；实行涉案财物统一管理；妥善解决信息保密问题。     

论“办案信息共享平台”建设及对公安讯问新挑战

跨公检法的“办案信息共享平台”建设从提出以来，不同模式先后在实际运行并各有利弊。从应然价值定位角度评析现有模式，并就平台建设主体、客体范围、运行规则方面展望其发展方向。在此背景下，刑事案件办理的关键节点均将嵌入平台，建议进行讯问同步录音像等制度“平台留痕化”相关改革，为侦查终结前讯问合法性核查等制度构建提供便利。侦查讯问行为将受到更严格的过程性监督与合法性考验，提出若干机制和具体措施应对公安侦查讯问新挑战。     

从绩效问责到宏观调控工具--2003-2014年国外政府绩效评估综述

尽管绩效评估在我国各级政府中逐渐成为日常性管理制度，但无论实践界还是理论界都还在利用西方20多年前的旧知识来解决新问题。通过客观德尔菲法对 Web-of-Science 数据库中2003-2014年间的317篇政府绩效评估文献进行“硬聚类”，发现国外近十年政府绩效评估的新规律在于：努力对政府的具体部门进行“体检”式绩效评估，诊断每项具体工作的实际绩效状况；利用“体检结果”促进政府问责进程；对政府绩效“病症”寻找“致病”诱因，试图将高绩效政府当作带动整个社会发展的“政策杠杆”来推动国家走出发展低迷；在大数据时代中将信息当作提升政府绩效的“非物质文化”因素，同时认为信息本身就意味着绩效。     

电子商务法中删除权的法经济学分析

大数据时代的到来使得企业、团体、个人都可能获取他人信息,而当代互联网的特性——海量的数据信息、快捷的计算速度以及巨大的储存空间使大数据时代的个人信息保护问题尤为重要。国内外关于删除权的相关法律文本和司法实践已经有较多讨论展开,而从大国博弈、消费者选择和厂商行为三个视角对2019年电子商务法中有关删除权的合理性和前沿性做进一步探讨后,可开启另一认知路径。以法经济学理论和经济学原理进行论证分析后发现,我国需要专门的“个人信息保护法”以确立删除权,而鉴于立法成本和紧迫性,可暂通过完善司法的方式,实现保护公民个人信息的目的。