Research on collaborative governance mechanism of academic ecological environment under the background of crowd intellectual thinking

Yi He,Linlin Ma,Yanan Wang

doi:10.1108/ijcs-07-2021-0020

Yi He, Linlin Ma + Show 1 more

Open Access

https://doi.org/10.1108/ijcs-07-2021-0020

Copy DOI

Abstract

Purpose This paper aims to use intellectual thinking to solve the problem of how to carry out collaborative governance of the academic ecological environment. Design/methodology/approach This paper selected academic ecosystem, academic ecological environment and academic ecological governance as three keywords to collect literature data. The hot issues on the academic ecological environment and its governance system in China are analyzed, with visualization software such as Citespace, China National Knowledge Infrastructure (CNKI) and other literature metrology tools. Findings The previous research literature cannot fully explain the governance mechanism of the academic ecological environment. In this paper, the authors use the way of group cooperation thinking in the crowd science category, to build a collaborative governance framework of the academic ecological environment from the national level, the institutional level and the individual level, taking full advantage of the in-depth analysis on crowd intellectual thinking. Originality/value The authors use the way of group cooperation thinking in the crowd science category, to build a collaborative governance framework of academic.

Highlights

There are many group cooperation phenomena in nature and human society, for instance, birds forming teams, ants nesting, processing and manufacturing, production and construction, brainstorming and, etc
5.1 Framework analysis Based on the collaborative governance theory, and the hierarchical relationship among the government, universities and research institutions, teachers and researchers, this paper proposes a “trinity” collaborative governance framework
Summary In recent years, most teachers and researchers are willing to promote the evolution of the academic ecological environment

Summary

Introduction

There are many group cooperation phenomena in nature and human society, for instance, birds forming teams, ants nesting, processing and manufacturing, production and construction, brainstorming and, etc. Researchers refer to the above phenomena as crowd intelligence and devote themselves to exploring the emergence mechanism of crowd intelligence, designing various algorithms such as ant algorithm, establishing optimization algorithm models and applying them to optimizing various engineering practices, forming the research field of crowd intelligence. Compared to the traditional crowd intelligence phenomena, the crowd intelligence in the internet era is larger in scale, wider in range and closer in interaction. The nature of crowd intelligence has extended from homogeneous intelligence to heterogeneous intelligence and the range of activities has expanded to a ternary superposition space where physical space, consciousness space and information space are deeply integrated. The material, information and consciousness of different laws interact with each other in larger scale, deeper degree, further influence and unpredictable consequences. The group intelligence emerged from a complex internet environment is defined as crowd intelligence

Objectives

Conclusion