Information-seeking behavior of economics graduate students: If you buy it,will they come?

The information-seeking behavior of social science graduate students has been the subject of many studies, but none have concentrated only on the economics graduate student population and their unique needs. The purpose of this focus group study was to use group discussions to understand the actual online behavior of graduate economics students when conducting research. The results provide insight and information about the skills and characteristics of economics graduate students, their first steps in conducting research online, their use of publicly available and library resources, challenges to finding information, and resources used to overcome these challenges.     

Health science libraries in Sweden: new directions,expanding roles

Librarians in Sweden are facing huge challenges in meeting the demands of their organisations and users. This article looks at four key areas: coping with open science/open access initiatives; increasing demands from researchers for support doing systematic reviews; understanding user experiences in Swedish health science libraries; and the consequences of expanding roles for recruitment and continuing professional development. With regard to changing roles, there is an increasing shift from the generalist towards the expert role. The authors raise the issue as to how to prepare those new to the profession to the changing environment of health science libraries.     

Spatial Discovery of Linked Research Datasets and Documents at a Spatially Enabled Research Library

Current publishing practices in academia tend to result in datasets that are difficult to discover. This is because datasets are not well-integrated across academic domains and they are often not linked to the documents that reference them. For these reasons, discovering datasets across domains can be challenging; for example, discovering archeological observations and biological specimens using the same search is not widely supported, even if both datasets share a similar spatial extent, like Mesoamerica. It is also challenging to retrieve relevant documents that reference datasets; for example, retrieving a series of field reports that reference archeological observations is typically not supported. Our work develops an extensible method for: (1) geographically integrating collections across disciplinary repositories and (2) connecting datasets to related documents. We describe a collection of spatially-referenced researcher datasets, capturing their metadata elements and encoding them as linked open data. We then leverage existing library services to formalize links from datasets to documents. The system described in this work has been deployed, resulting in an experimental open data site for the UCSB campus. Results indicate that this system can be scaled-up with support from an institutional repository in the near future.     

An impulse to exploit: the behavioral turn in data-driven marketing

Industry advocates argue that by tailoring services and commercial solicitations to match media users’ personal interests, data-driven marketing benefits both consumers and businesses. This article shows, however, that advertisers and marketers who are taking up ideas and techniques from behavioral economics tell their clients a very different story about the aims and use of digital marketing and consumer surveillance. Listening in on this discourse demonstrates that some digital marketers conceptualize their own practices as forms of social control, appropriating concepts from behavioral economics to identify consumers’ cognitive and affective biases and target their vulnerabilities. Behavioral economics recognizes that economic decisions are not simply dictated by rational self-interest; rather, such choices depend on cognitive heuristics and habits, and can be manipulated through the design of “choice architecture.” This article discusses implications of the behavioral turn in data-driven marketing for critical advertising scholars, public advocates, and regulators.     

巩固执政基础,提高党的执政能力

党作为中国特色社会主义事业的坚强核心,要巩固自己的执政地位,必须具有扎实的人民基础、雄厚的经济基础、先进的思想文化基础。只有如此,才能不断提高党在社会的影响力和凝聚力,不断增强党的执政能力。     

科技创新推动下“智慧土地”发展的机遇与挑战

我国土地资源禀赋和人口经济持续快速增长的压力,导致土地资源高强度、高风险利用等不可持续发展问题,迫切需要土地科技创新,转变土地资源治理模式,提升土地资源治理能力,以及发展以土地资源数字化、精细化、智能化为核心的"智慧土地"。文章探讨了智慧土地的基本概念和内涵,分析了"智慧土地"建设存在的问题与挑战,提出了亟待突破的关键技术,为我国顺利推进"智慧土地"建设提供参考和借鉴。     

基于专利数据的技术融合研究综述

[目的/意义]基于专利数据开展技术融合研究是技术融合研究的主要方式和热点方向,面向为技术融合后续研究工作开展提供参考和启发的目标,对国内外基于专利数据的技术融合研究现状进行较为全面的综述.[方法/过程]将已有研究按研究内容划分为技术融合测度及预测方法研究、特定领域/多领域间/全领域的技术融合态势测度及趋势预测、技术融合...     

信任视角下数据智能与专家知识的对比实证研究

[目的/意义]从信任视角对比用户对数据智能与专家知识的感知,有助于了解用户当前对这两类典型的决策信息源的信任状态及差异,进而为数据智能的深化应用、数据智能与专家知识的有效融合提供建议.[方法/过程]基于信任的经典二维度划分,即认知信任和情感信任,设计包含两对、四个潜在变量的测量量表.采用问卷调查法,获取342份有效样本...     

政府数据开放中的公众参与模式:理论构建与案例实证

[目的/意义]探讨政府数据开放中公众参与的理论模式,旨在指导政府部门有效实现公众参与数据开放的政策目标,以及推进政府数据开放中公众参与议题的研究进展。[方法/过程]采用文献分析法、逻辑分析法和案例分析法,同时以公众参与阶梯理论作为分析工具,构建并实证政府数据开放中的公众参与模式。[结果/结论]政府数据开放中的公众参与可从理论层面构建为告知型参与、咨询型参与、合作型参与和授权型参与4种模式,其核心涵义分别是政府向公众传达信息、政府咨询公众意见、政府与公众平等合作、政府与公众共同治理。这4种政府数据开放公众参与理论模式一方面在政府意图、主导力量、信息流动、公众信息知晓度和公众自治程度方面存在明显的特征差异,另一方面从国内外政府数据开放公众参与实践案例中获得良好的经验支持。     

武汉大学面向本科生的数据素养通识课程的建设与思考

[目的/意义]旨在通过分享武汉大学数据素养通识课程的建设过程,为同行开展相关工作提供参考。[方法/过程]通过案例分析、数据统计和数据挖掘可视化方法对"武大通识3.0"背景下的《数据素养与数据利用》课程的教学目标、教学内容、教学特色以及教学效果进行分析,探索课程体系的合理性。[结果/结论]授课方式和课内外实践内容的设置能够很好地调动学生学习的积极性,提高学习效果;课程考核结果、学生学习前后的问卷调查及课后反馈表明,课程学习明显提升了学生的数据素养。