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Research on Science & Technology Talents

Research on the Growth Characteristics and Mobility Patterns of  Artificial Intelligence Scientists Based on Resume Information 

Shao Peng1 , Qiu Xiaojie1 , Huang Pengfei1,2

(1.School of Management, Xi'an Polytechnic University, Xi'an 710048, China; 2.Faculty Development College, Shaanxi Normal University, Xi'an 710062, China)

Abstract: The report to the 20th National Congress of the Communist Party of China states  that it is necessary to "accelerate the development of national strategic talent resources and  strive to cultivate more masters and strategic scientists". Currently, a new round of technological  revolution, represented by artificial intelligence, is driving profound changes in production, life, and governance. Accelerating the application of artificial intelligence, fostering the growth of the  AI industry, and expanding the talent supply have become important pillars of China's economic  development. Although China has established a relatively comprehensive policy support system  for artificial intelligence and related industries that have developed rapidly, several challenges  remain. These include a lack of foundational talent reserve, imbalanced talent structures in lead⁃ ership, and an insufficient supply of technical professionals, all of which hinder the development  of the industry. The "New Generation Artificial Intelligence Development Plan", issued by the  State Council, explicitly states that building a high-level talent team is a top priority for the de⁃ velopment of artificial intelligence. The rapid development of artificial intelligence relies on the continuous exploration and in⁃ novation by scientists, who are the drivers of technological progress and the predictors of applica⁃ tion trends. The growth of talent in science and technology includes not only the development of  intellectual, psychological, and physical potential but also the improvement of research capabili⁃ ties and the advancement of related fields. Studying the growth stages of AI scientists helps  clarify the characteristics and challenges involved in talent development, providing theoretical  support for talent cultivation in the field of artificial intelligence. The flow of scientific and tech⁃ nological talent refers to changes in the service units or targets of this talent, including mobility in education, employment, and jobs. As global competition in artificial intelligence intensifies, is⁃ sues related to talent cultivation, recruitment, and mobility have become crucial for economic  and social development. Therefore, understanding and following the growth characteristics and  mobility patterns of AI talent has become an urgent priority for research and policy formulation  in this field. This study focuses on the growth characteristics and mobility patterns of artificial intelli⁃ gence scientists, employing methods such as career analysis, social network analysis, and San⁃ key diagrams. First, AI scientists are defined as fellows of the Chinese Association for Artificial  Intelligence and the Chinese Association of Automation. The study collects career information  from 231 AI scientists, analyzing their growth characteristics from aspects such as educational  background, overseas study experience, academician status, and the nature of their affiliated in⁃ stitutions. Second, the study constructs learning mobility networks, employment mobility net⁃ works, and work mobility networks to analyze the mobility network characteristics of AI scien⁃ tists from both the overall and individual network perspectives. Finally, Sankey diagrams are  used to visualize the mobility of AI scientists between regions, specifically between the eastern  and western parts of China. This visualization aims to analyze talent flow characteristics across  different regions and compare the mobility patterns of AI scientists between these regions. The  aim of this study is to support the optimization of AI talent cultivation and promote the rational  mobility of talent through relevant policies. 

Key words: artificial intelligence; talent mobility; social network; resume analysis; growth  characteristics; mobility patterns