Subjects: Management Science >> Science ology and Management submitted time 2023-08-23 Cooperative journals: 《中国科学院院刊》
Abstract： The generative large model GPT represented by ChatGPT is developing rapidly, which has aroused extensive discussion in academic circle and the industry and has an incalculable impact on foundational scientific research development. The study first sorts out the development of the GPT technological revolution, and discusses the new changes brought about by this technology in scientific research. Then, based on the three aspects of application status, core principles and innovation subjects, the impact of the GPT technological revolution on basic scientific research and its development suggestions for China are discussed. The study believes that GPT technology can certainly play a positive role in knowledge production, improve scientific research efficiency, and even promote scientific research paradigm changes, but it may also cause scientific research misconduct, weaken research credibility, and amplify the inherent bias of the Internet and other issues. Therefore, the study discusses how to develop Chinese foundational scientific research based on GPT technology. On the one hand, investing in the research and development of data and computing platforms that are independently controllable by the country and protected by intellectual property rights. On the other hand, emphasizing humancomputer collaboration and scientific research integrity supervision to create an open and transparent environment for Al development. In short, this study aims to provide policymakers and front-line researchers with an understanding perspective on the impact of GPT technology on fundamental science, promote the rational use of GPT technology, and provide a reference for the healthy development of the future academic ecology.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper aims to extract the tacit knowledge from the massive literatures by constructing a two-mode complex network model. [Method/process] Through the NetworkX complex network toolkit, a two-mode complex network model was constructed based on the co-occurrence relationship of any two nodes. The direct relationship between nodes and nodes was extracted by weighting the co-occurrence relationship of nodes in the network model, calculating the topology information of the network and AP clustering. The most appropriate prediction algorithm was selected by using AUC method to evaluate the four link prediction algorithms, such as AA, JC, wAA and wJC. The tacit knowledge was predicted by the most appropriate prediction algorithm from the complex networks. [Result/conclusion] The results showed that the wAA link prediction algorithm was the optimal link prediction algorithm. The two mode complex network model, indicators and method system were effective in drug target mining in the Chemical Abstracts Service database. The next step is to try in other databases or other research fields to further verify the generality and effectiveness of the model.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper try to propose a scientific, effective and reusable method to identify key technologies based on the perspective of intelligence research. It aims to provide information support for nation, regions, enterprises and innovative institutions to discover, deploy and promote the prospective R&D of key technologies.[Method/process] Based on the definition of key technology and its types, this paper used K-means++ algorithm to cluster scientific papers to identify hotspot technologies. Then it used the hotspot technologies as nodes to construct and visualize complex network through secondary clustering and Gephi. Structural holes theory was adopted to analysis the network and attributes of nodes, and thereby selected generic technologies. Link prediction algorithm was used to predict the missing edges in the network according to the structure, and we can identify the potential emerging technologies based on the phenomenon of cross-fusion of hot technologies to promote the formation of innovative technologies.[Result/conclusion] Taking the Intelligent Manufacturing as an example to carry out empirical research on the method, and validated the operability and effectiveness of the method through national authoritative documents and literature research.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： The scientific governance is the most important to S&T because of its dual nature for societies. The concept and method of governance has been adapted to strengthen the management of the S&T systematically, which is the scientific choice of national economic and social development. As the one of the significant breakthroughs to innovation, disruptive technology is the strategic opportunity to build China into a world science and technology power. With the potential, dramatic, and systematic impact, disruptive technology could reshape the rules and structures. For disruptive technological innovation, it is urgent to introduce the forward-looking governance notion to master its great impact in advance, and promote its development and application actively and scientifically. In order to promote the disruptive technology development and predict and reduce its risks, this study constructs a forward-looking governance system of disruptive technology innovation, discusses the basic characteristics of the system, establishes the core research framework, and provides the suggestions on the main governance process.
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