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EAGER: A Knowledge Aggregator for the Social Sciences

EAGER: A Knowledge Aggregator for the Social Sciences
EAGER:社会科学知识聚合器
批准号:
1551458
负责人:
Barry Markovsky
金额:
$29.04万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-09-01 至 2018-08-31

项目摘要

项目成果

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中文摘要
翻译
该项目将开发一套集成的基于网络的工具,用于推进关于人类个体和社会行为的理论,称为Wikitheoria。 主要目标是利用成功的知识聚合的条件,促进更好和更有用的理论的发展。这些好处至少有两个方面。在信息技术的各个领域开发的工具将通过使理论建立过程系统化而为社会科学服务。由此产生的理论模块将反过来加强对网络人类系统和其他领域的研究,在这些领域中,对人类和群体行为的假设并不总是在先前的理论和研究中有很好的基础。一般来说,即使是最低限度地参与维基理论的用户,也可能会对更仔细地关注他们理论的逻辑和术语的好处表示赞赏。假设参与的门槛最终被超越,该项目甚至可能改变理论在社会科学中产生和评估的方式,以及社会科学理论在网络人类系统和其他地方的使用方式。所吸取的经验教训还应适用于制定通过激励制度促进互联网社区形成的方案,特别是知识聚合社区。该软件将作为源代码和托管服务免费提供给研究使用。之前的NSF资助支持了原型的构建,其中包括介绍性演示、说明、向图书馆提交“模块化理论”的工具以及几个关键的管理子系统。这项创新性的新工作将开发一个完整的在线系统,该系统超越了原型的基本功能,实现了一系列强大的服务和基础设施。这些包括自动逻辑和语义分析,推荐系统,词汇的广泛超链接,分析,教学和教学材料,以及讨论板。该系统将支持集体评估和提交材料的累积增强,用户激励系统,学科之间的交叉施肥,确定可集成的模块,支持研究的评估,理论上知情的应用程序,以及对社会科学以外的学生和应用研究人员的支持。Wikitheoria将为那些寻求推进知识的人提供工具,并为那些寻求应用这些知识的人提供资源。网站的互动性质允许任何级别的用户就内容提出问题,指出模糊的术语和陈述,并在一般情况下成为理论发展过程的一部分,这是标准出版模式所不可能的。因此,Wikitheoria可以成为计算机和信息科学家以及以人为本的项目工程师的宝贵标准资源,他们需要提高他们的理论思想,了解类似的理论框架已经可用,并在更广泛的认知和社会背景下扩展他们的创新。
英文摘要
This project will develop an integrated set of web-based tools for advancing theories about human individual and social behavior, called Wikitheoria. The primary goal is to facilitate the evolution of better and more useful theories by capitalizing on conditions for successful knowledge aggregation. The benefits cut at least two ways. Tools developed in various areas of information technology will be serving the social sciences by systematizing the theory-building process. The theory modules thus produced will, in turn, enhance research in cyber-human systems and other fields where assumptions that are made about human and group behavior are not always well-grounded in prior theory and research. In general, users that participate even minimally in Wikitheoria are likely to gain an appreciation for the benefits of more careful attention to the logic and terms of their theories. Assuming a threshold of participation is eventually surpassed, the project may even transform the way theory is produced and evaluated in the social sciences, and the way that social science theories are utilized in cyber-human systems and elsewhere. The lessons learned should also be applicable to the development of programs that facilitate Internet community formation through incentive systems, especially knowledge aggregation communities. The software will be made freely available, both as source code and as a hosted service for research use.A previous NSF grant supported the construction of a prototype that included, among other elements, introductory presentations, instructions, tools to submit "modular theories" to a library, and several crucial administrative subsystems. This innovative new work will develop a completed online system that generalizes beyond the prototype's basic functions, implementing a range of powerful services and infrastructure. These include automated logical and semantic analyses, recommender systems, extensive hyperlinking of the lexicon, analytics, instructional and pedagogical materials, and discussion boards. The system will support collective evaluation and cumulative enhancement of submitted materials, user incentive systems, cross-fertilization between disciplines, identification of integratable modules, evaluations of supporting research, theoretically informed applications, and support for students and applied researchers outside of the social sciences. Wikitheoria will provide tools for those seeking to advance knowledge, and resources for those seeking to apply that knowledge. The interactive nature of the site permits users at any level to ask questions about content, point out ambiguous terms and statements, and in general become part of the theory-development process in a way that is not possible with standard publication models. Thus Wikitheoria can become a valuable standard resource for computer and information scientists and engineers working on human-centered projects, who need to sharpen their theoretical ideas, learn what similar theoretical frameworks are already available, and situate their innovations in a wider cognitive and social context.
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