数据、数据关系与数字时代的创新范式  

Data,Data Relationships and Innovation Paradigms in the Digital Age

作　　者：江小涓[1] 宫建霞 李秋甫 Jiang Xiaojuan;Gong Jianxia;Li Qiufu

机构地区：[1]中国社会科学院,北京102488 [2]中国社会科学院财经战略研究院,北京100006 [3]清华大学马克思主义学院,北京100084

出　　处：《中国社会科学》2024年第9期185-203,208,共20页Social Sciences in China

摘　　要：科技创新在不同时代呈现不同特点。从数据生成、传递和获取,数据交互能力,数据共享能力以及数据数量、深度和广度等维度,观察分析数字时代的科技与产业创新,能够为回顾创新范式演进历程提供新的视角。在数据和数据关系驱动的创新范式中,数据洞察能力和理论逻辑能力交互耦合成为创新的关键源泉,规模涌现效应使大型平台在创新链条中的地位显著前移并全面提升,开源开放式创新则是提升数据汇聚交互能力和优化创新资源配置的重要组织形态。数据和数据关系的重要性生发出新的科技伦理问题,进而对人类社会的传统秩序带来挑战。深刻理解和把握新的创新范式,对于深化创新理论研究、构建国家创新体系以及强化创新政策导向等意义重大。Observing and analyzing scientific,technological and industrial innovation in the digital era from the dimensions of data generation,transmission and acquisition,data interaction capability,data sharing capability,and the volume,depth and breadth of data can provide new perspectives for reviewing the evolution of innovation paradigms.In the innovation paradigm driven by data and data relationships,the interactive coupling of data insights and theoretical logic becomes a key source of innovation.The rule of scaling reinforces the principal position of large-scale platforms in the innovation chain.Open source and open innovation represent important organizational forms for enhancing data aggregation and interaction capabilities and optimizing the allocation of innovation resources.The importance of data and data relationships also raises new ethical issues.A deep understanding of these new innovation paradigms helps advancing innovation theory,building national innovation systems,and strengthening innovation-oriented policies.

关 键 词：科技创新 创新范式 数据关系 数字时代 科技伦理 

分 类 号：F124.3[经济管理—世界经济]