Abstract

PurposeCollective intelligence has drawn many scientists’ attention in many centuries. This paper shows the collective intelligence study process in a perspective of crowd science.Design/methodology/approachAfter summarizing the time-order process of related researches, different points of views on collective intelligence’s measurement and their modeling methods were outlined.FindingsThe authors show the recent research focusing on collective intelligence optimization. The studies on application of collective intelligence and its future potential are also discussed.Originality/valueThis paper will help researchers in crowd science have a better picture of this highly related frontier interdiscipline.

Highlights

  • A group can be of more power and better wisdom than the sum of the individuals

  • Collective intelligence appears in many fields such as public decisions, voting activities, social networks and crowdsourcing

  • Crowd science mainly focuses on the basic principles and laws of the intelligent activities of groups under the new interconnection model

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Summary

Introduction

A group can be of more power and better wisdom than the sum of the individuals. Foreign scholars have noticed that for a long time and called it collective intelligence. Keywords Open innovation, Collective intelligence, Crowd science, Group wisdom Collective intelligence appears in many fields such as public decisions, voting activities, social networks and crowdsourcing.

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