科研院所数字化体系框架研究与实践

Research and practice of digital institute and its system framework

        于建军¹(中国科学院计算机网络信息中心 北京 100190)
        王月^1,2(中国科学院计算机网络信息中心 北京 100190;中国科学院大学 北京 100049)
        汪孔敏¹(中国科学院计算机网络信息中心 北京 100190)
        施卓敏¹(中国科学院计算机网络信息中心 北京 100190)

         数字政府;数字研究所;数字化治理;人工智能;大数据

        digital government;digital institute;digital governance;artificial intelligence;big data

        数字化科研是数字经济的重要组成部分，其与数字政府均为数字经济大背景下新型信息技术支撑的数字化应用场景。当前，以人工智能和大数据技术为代表的新一代信息技术对科研院所现代化治理，尤其是科技活动推动科研范式变革起到积极作用，加速了科研院所数字化转型。我们将科研院所科技活动管理过程数字化转型形成的数字化体系称为“数字研究所”。为此，文章分析了数字化变革对科研院所科技活动管理的影响，归纳总结了数字研究所的典型业务场景及体系框架，给出了实施数字研究所的思考和建议。

        In the era of the digital economy, digital scientific research and digital government are both crucial components, serving as application scenarios enabled by new information technologies. Currently, the new generation of information technologies, especially artificial intelligence and big data, is instrumental in modernizing governance at scientific research institutions within Chinese Academy of Sciences (CAS). They notably drive paradigm shifts in scientific activities and accelerate the digital transformation of these institutions. The digital system formed by the digital transformation of management processes in scientific activities at research institutes is defined as the digital institute. This study analyzes the impact of digital transformation on CAS institutes, summarizes the typical business scenarios and system framework of the digital institute, and provides insights and suggestions for implementing digital institute applications.