Crowd science: The organization of scientific research in open collaborative projects

被引:293
作者
Franzoni, Chiara [1 ]
Sauermann, Henry [2 ]
机构
[1] Politecn Milan, Dept Management Econ & Ind Engn DIG, I-20133 Milan, Italy
[2] Georgia Inst Technol, Scheller Coll Business, Atlanta, GA 30308 USA
基金
美国国家科学基金会;
关键词
Crowd science; Citizen science; Crowdsourcing; Community-based production; Problem solving; Open innovation; Funding; OPEN SOURCE SOFTWARE; INNOVATION; ECONOMICS; COMMUNITIES; UNCERTAINTY; MOTIVATIONS; INDUSTRIAL; DISCOVERY; KNOWLEDGE; VIEW;
D O I
10.1016/j.respol.2013.07.005
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
A growing amount of scientific research is done in an open collaborative fashion, in projects sometimes referred to as "crowd science", "citizen science", or "networked science". This paper seeks to gain a more systematic understanding of crowd science and to provide scholars with a conceptual framework and an agenda for future research. First, we briefly present three case examples that span different fields of science and illustrate the heterogeneity concerning what crowd science projects do and how they are organized. Second, we identify two fundamental elements that characterize crowd science projects - open participation and open sharing of intermediate inputs - and distinguish crowd science from other knowledge production regimes such as innovation contests or traditional "Mertonian" science. Third, we explore potential knowledge-related and motivational benefits that crowd science offers over alternative organizational modes, and potential challenges it is likely to face. Drawing on prior research on the organization of problem solving, we also consider for what kinds of tasks particular benefits or challenges are likely to be most pronounced. We conclude by outlining an agenda for future research and by discussing implications for funding agencies and policy makers. (C) 2013 The Authors. Published by Elsevier B.V. All rights reserved,
引用
收藏
页码:1 / 20
页数:20
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