从“大数据”到“智能数据”——剖析德国国家智能数据创新实验室的定位和模式

面对全球范围的"大数据之争",德国具备信息技术产业及市场快速增长、信息技术服务业和软件业世界领先、传统制造业数字化基础良好等优势条件,亦有明显的结构性缺陷。为落实"数字变革战略",实施"数字议程",提升德国在大数据领域的核心竞争力,德国联邦政府联合科技界和产业界代表,启动了全新的国家尖端研究平台一一"智能数据创新实验室",提出"智能数据"创新理念,通过推动产学研合作,对大数据进行进阶的智能化处理,以抢占未来的战略发展高地。本文对该平台的定位和模式进行了剖析,供国内有关部门参考。     

移动网络数据中大数据处理的关键技术探索

最近几年以来,我国科技水平持续提升,计算机网络技术也逐渐在各行各业中获得了广泛运用,这也使得信息技术的深度融合发展受到一定的促进,数据规模愈发庞大,在此背景下,开始演变成大数据供不应求的状况。为此,国内陆续推出了一系列相关的管理法规与条例,同时扩大了对大数据的探究创新力度,有效提升了移动通信网络处理数据的速度,这同时促使国内移动通信网络中有关大数据的研究内容更为明晰,由此可知,针对大数据的相关研究具有一定必要性。     

新型个人信息保护体系构建研究

大数据时代,传统的以“信息收集”规制为着力点的个人信息保护出现适法性困境,以“知情同意”为框架的机理失灵,个人信息的利用对象从直接个人信息逐渐向间接个人信息过渡,其财产价值凸显,新型个人信息财产权呼之欲出。立法应顺应数字经济的发展,构建合理新型个人信息体系。具体而言:纵向层面,以“宽进+删除权”为具体保护策略;横向层面,在信息主体和信息产业者之间合理配置权利,即信息主体享有个人信息权和个人信息财产权,信息产业者享有信息资产权。     

大数据背景下企业财务管理面临的挑战与变革

随着社会经济的快速发展,市场经济体制在不断地完善,科学技术水平也在不断地上升,这时我国进入了大数据时代。传统的财务管理模式已经无法再适应时代的发展变化,所以企业应该及时转变自身的财务管理模式,更新管理理念。论文针对大数据背景下企业财务管理面临的挑战和变革进行分析,介绍财务部门的主要作用和发展现状,并提出提高财务管理水平的具体方法和策略,希望能够为企业的发展起到一些参考作用。     

Personality traits,basic individual values and GMO risk perception of twitter users

Abstract

The present study investigates how the most foundational factors to individual differences – personality traits and personal values – affect the perceived safety of genetic modification and their relative importance. Publicly available communication data from 522 Twitter accounts discussing genetically modified foods and their safety was processed in two steps. First, accounts were categorized by the researchers as viewing GM foods as either safe or not safe. Second, using the IBM Watson platform, the Twitter communication data were subjected to lexical analysis to assign scores according to the Five Factor Model for personality traits and Schwartz’s basic individual values to the individual accounts. Logistic regression analyses were performed to determine how perceived GM food safety is linked to personality traits and individual values. Although both traits and values significantly contribute to explaining GM attitudes, personality traits strongly moderate the effect of individual values on risk perception.     

大数据对法院司法统计的积极功效及边界

最高人民法院于2016年应用人民法院大数据管理和服务平台以后,全国法院司法统计完全实现计算机自动采集。从发展脉络来看法院司法统计正处于智能化转型阶段,仍然存在一些问题。随着大数据及新技术的引入,司法统计“大数据”得以成为现实,包括了数据采集的全面化、统计分析的综合化、统计平台的社会化,进而提出了大数据助力司法统计精准化的具体路径,包括了提高基础数据的量与质、加强对司法统计数据的深度分析和可视化分析、推进基础设施建设。然而,二者并不具有正相关性。因此,推进司法统计大数据化需要注意有两个限度。     

The risk-based approach under the new EU data protection regulation: a critical perspective

Abstract

The first broad reform of personal data protection legislation in the European Union entered into force in May 2018 (Regulation (EU) 2016/679, the General Data Protection Regulation). Remarkably, with this reform a risk-based approach has been introduced as the core data protection enforcement model, while data protection authorities see their regulatory role significantly weakened. The risk-based approach is to be implemented by the data controllers (i.e. the operators) via data protection impact assessments (evoking the established environmental impact assessment procedure) and notification of breaches, among other procedures. Hence the scope of both the concepts of risk and risk regulation spread beyond conventional domains, namely the environment, public health or safety, i.e. physical risks, to encompass risks to intangible values, i.e. individual rights and freedoms, presumably harder to assess and manage. Strikingly, the reform has been accompanied by a confident discourse by EU institutions, and their avowed belief in the reform’s ability to safeguard the fundamental right to data protection in the face of evolving data processing techniques, specifically, big data, the Internet of Things, and related algorithmic decision-making. However, one may wonder whether there isn’t cause for concern in view of the way the risk-based approach has been designed in the data protection legislation. In this article, the risk-based approach to data protection is analysed in the light of the reform’s underlying rationality. Comparison with the risk regulatory experience in environmental law, particularly the environmental impact assessment procedure, is drawn upon to assist us in pondering the shortcomings, as well as the opportunities of the novel risk-based approach.     

Salvador Allende's development policy: Lessons after 50 years

Last year, 2020, was the 50th anniversary of the opening of the ‘Chilean road to socialism’ by Salvador Allende. Although the Allende government is the political reference for the 'socialism of the 21st century’ in Latin America, international supporters tend to disregard the primary cause of its downfall, focusing instead on the circumstances of Allende's death. This article explains the link between the Allende government's development policies and its macroeconomic outcomes between 1970 and 1973. It finds that Chile's economic collapse had an endogenous cause related to government policies. This supports the views of Mises and Hayek on the feasibility of socialist economic policies. Policymakers and commentators should recognise essential lessons from the Chilean experience to learn from past errors and effectively promote Latin America's economic development.     

Teaching HRM in contemporary hospitality management: a case study drawing on HR analytics and big data analysis

In this article, we discuss how hospitality students can leverage new technology and new HRM metrics from a combination of a traditional format case study and innovative data spreadsheets. We offer a teaching case study that combines the strategic dimensions of HRM with practice-driven data analysis anchored in HR analytics and HR big data mining. We argue that this combination helps identify, develop, and promote appropriate managerial skills among students.     

系统重要性金融机构或有资本问题研究

系统重要性金融机构(SIFIs)倒闭产生的巨大负外部性使得各国在危机处置中更倾向于救助而非任其倒闭,但"太大而不能倒"又会引发道德风险,扭曲公平竞争。国际组织就SIFIs的危机处置提出一系列解决方案及建议,其中自救安排中的或有资本计划作为一项重要的资本工具而广受关注。或有资本不仅具有预防和早期救助、自救之功效,还能有效改善公司治理结构,与《巴塞尔协议II》的三大支柱原则完美契合。但或有资本亦存在不确定性较大、价格变动及成本效用减损等问题,需要结合我国具体的金融市场环境论证、设计、草拟相关规则及配套制度,需要在发行规模、发行程序、转化设计和转化条件等方面谨慎论证、不断完善。