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Workshop on Collective Intelligence

Workshop on Collective Intelligence
集体智慧研讨会
批准号:
1047567
负责人:
Thomas Malone
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-01 至 2014-08-31

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中文摘要
翻译
Web 2.0和大规模分布式贡献者系统的兴起为集体智慧的新跨学科领域创造了机会。就像20世纪70年代开始的认知科学一样,这个新领域可能有助于分享来自不同领域的观点和结果。就集体智慧而言,潜在的相关学科包括计算机科学、组织理论、社会心理学、经济学等。本次研讨会将制定一个研究议程,涵盖集体智慧的重要方面,如:如何定义和衡量集体智慧,如何激励参与者成为智能集体的一部分,参与者之间不同的连接模式(即网络科学)的影响是什么,什么问题非常适合用集体智慧方法来解决,以及成功系统中的常见设计模式是什么。集体智慧研讨会将促进以下方面的更广泛影响:(a)将来自不同学科和观点的人聚集在一起;(b)就如何将集体智慧定义为一个领域及其核心主题达成共识;(c)为该领域建立初步研究议程;(d)促进在一个或多个高质量期刊上发表关于该领域前景的文章。
英文摘要
The rise of Web 2.0 and large-scale distributed contributor systems is generating opportunities for a new interdisciplinary field on the topic of collective intelligence. Like cognitive science did beginning in the 1970's, this new field may help share perspectives and results from a variety of different fields. In the case of collective intelligence, potentially relevant disciplines include computer science, organization theory, social psychology, economics, and others. This workshop will frame a research agenda covering important aspects of collective intelligence such as: how to define and measure collective intelligence, how to motivate participants to form part of an intelligent collective, what is the effect of different patterns of connection among the participants (i.e., network science), what problems are well-suited to be attacked by a collective intelligence approach, and what are common design patterns among successful systems.The workshop on collective intelligence will facilitate broader impacts in: (a) coalescing a community of people from different disciplines and perspectives, (b) initiating consensus on how to define collective intelligence as a field and the topics that should be central within it, (c) establish a preliminary research agenda for the field, and (d) catalyze publications about the prospects for this field in one or more high quality journals.
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会议论文
CyberSEES:Type 2: Collaborative Research: Combining Experts and Crowds to Address Challenging Societal Problems
VOSS: Collaborative Research: Is Larger Smarter? Investigating the Effect of Group Size on Collective Intelligence
EAGER: The Climate CoLab: A System for Very Large-Scale Model-Based Group Problem-Solving
SoCS: The Climate Collaboratorium: A Tool for Large-Scale Model-Centric Collective Decision-Making
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