数智赋能的科研创新——基于数智技术的创新辅助框架探析

Data Intelligence Empowered Innovation:An Exploration of the Innovation Assistance Framework Based on Data Intelligence Technology

以ChatGPT(Chat Generative Pre-trained Transformer)为代表的人工智能大模型在文本生成、人机对话等方面展现出了优异的性能。在大模型背景下,大数据、人工智能等数智技术在赋能科研创新方面表现出重要的现实价值。当前的科技信息资源管理和知识服务能够为科研创新提供较为准确的信息以及常规的知识聚合服务,但是仍未能与科研创新活动形成深度融合。同时,科研人员在科研活动中也面临信息处理能力不足、认知能力有限等挑战。据此,本文首先对数智时代科研活动的新特点进行了剖析,然后提出了基于数智技术的创新辅助框架,并对所提出的框架进行了深入分析和探讨,阐述了其在创新全过程中的功能定位、服务模式和关键赋能路径。未来,随着大数据和人工智能技术的不断成熟和进步,数智赋能的科技信息资源管理将进一步嵌入科研创新活动全过程。基于数智技术的创新辅助服务能够为科研人员提供个性化、细粒度的知识和场景化的解决方案,如面向文献阅读、实验设计和论文撰写场景的创新辅助服务,从而更好地服务于科研创新活动。

Large language models(LLMs),such as ChatGPT(Chat Generative Pre-trained Transformer),have shown excellent performance in text generation and human-machine dialog.Under the background of LLMs,such technologies as big data and artificial intelligence have demonstrated important practical value in empowering scientific research and innovation.Although current science and technology(S&T)information resource management and knowledge services can provide relatively accurate information and routine knowledge aggregation services for scientific research and innovation,they have not yet been deeply integrated with scientific research and innovation activities.Researchers also face challenges such as insufficient information processing capabilities and limited cognitive abilities during the scientific research and innovation process.This article analyzes the new characteristics of scientific research activities in the data intelligence era.Furthermore,an innovation assistance framework based on data intelligence technologies is proposed,and its functional positioning,service mode,and key empowerment path in the entire innovation process are analyzed and discussed in depth.In the future,with the continuous maturity and progress of big data and artificial intelligence technologies,data-intelligence-technology-enabled S&T information resource management will be further embedded in the entire process of scientific research and innovation activities.Innovative assistance services based on data intelligence technologies,such as innovative auxiliary services for literature reading,experiment design,and article-writing scenarios,can provide researchers with personalized,fine-grained knowledge and scenario-based solutions to better serve scientific research and innovation activities.