数字时代如何建构知识生产创新生态系统——基于美国一流高校的案例考察

How to Construct Innovation Ecosystem for Knowledge Production in the Digital Age——Based on Case Study of Elite Universities in the United States

数字智能以人机协同、跨界合作与共创分享为技术优势,变革与重塑传统大学实验室的知识创新体系与组织运行路径。比较美国一流大学不同学科领域的数字智能实验室发现,数字技术能够驱动五重螺旋创新主体集聚,实现多元知识生产主体的智慧联动与开放合作,推动知识创新网络的数字交互与联结互通,进而形成数字化的知识生产创新生态系统。这一数字创新空间具备自生长与自组织、模块化与分层化、协同性与并行式、收敛性与可扩展性的运行特征,共同维系知识生产创新的可持续化。因此,数字时代的大学可以从“环境—主体—网络—系统”四个维度建构数字创新生态系统,促进大学知识生产数字协作、资源集聚与生态赋能,从而加速“社会代谢转型”。

Digital intelligence takes human-machine collaboration,cross-border cooperation and cocreation and sharing as its technical advantages,changing and reshaping the knowledge innovation system and organization operation path of traditional university laboratories.Comparing different digital intelligence laboratories of top universities in the United States,it is found that digital technology can drive the gathering of five-fold helix innovation entities,realize intelligent linkage and open cooperation of diverse knowledge production subjects,promote the digital interaction and connection of knowledge innovation networks,and then form a digital knowledge production innovation ecosystem.This digital innovation space actually has operating characteristics of selfgrowth and self-organization,modularity and layering,synergy and parallelism,convergence and scalability,which jointly maintain the sustainability of knowledge innovation.Therefore,universities in the digital age can build a digital innovation ecosystem from the four dimensions of"environment-subject-network-system"to promote digital collaboration in knowledge production,resource aggregation and ecological empowerment,thereby accelerating"metabolic transformation of society".