| 马合一,王姝婷.人工智能领域在美华人流动网络研究[J].全球科技经济瞭望,2026,41(5):40~53 |
| 人工智能领域在美华人流动网络研究 |
| A Study on the Mobility Network of Chinese Researchers in the United States in Artificial Intelligence |
| 投稿时间：2026-02-18 |
| DOI：10.3772/j.issn.1009-8623.2026.05.006 |
| 中文关键词: 人工智能；在美华人；社会网络分析；人才流动 |
| 英文关键词: Artificial Intelligence; Chinese Researchers in the United States; Social Network Analysis; Talent
Mobility |
| 基金项目: |
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| 摘要点击次数: 17 |
| 全文下载次数: 40 |
| 中文摘要: |
| 人工智能是推动产业变革和科技进步的核心引擎，而人才是其发展的关键。以 2019 年、2022
年和 2024 年神经信息处理系统大会（NeurIPS）会议论文第一作者为对象，基于履历信息构建人才流
动数据库，运用社会网络分析方法研究其教育与职业的流动特征。研究发现：清华大学、北京大学等“985
工程”建设高校是华人人才赴美的主要来源机构；研究生阶段以卡内基梅隆大学等美国私立高校为核
心枢纽，而工作阶段以 Meta、谷歌、亚马逊等企业为主要去向；回流人才主要来自加州大学伯克利分校
等，高度集聚于国内三大科创中心。建议 AI 领域的引才政策应重点关注海外枢纽机构的人才流动趋势，
加强国内三大科创中心的差异化引才，并提升国内科技企业对顶尖人才的吸引力。 |
| 英文摘要: |
| Artificial intelligence (AI) is a core driver of industrial transformation and technological progress,
and talent is crucial to its development. This study examines the first authors of papers published at Conference
on Neural Information Processing Systems in 2019, 2022, and 2024. Based on their educational and career
histories, a talent mobility database is constructed, and social network analysis is employed to investigate patterns
of educational and occupational mobility. The findings show that: Firstly, Chinese universities under the “985
Project,” such as Tsinghua University and Peking University, are the main source institutions of Chinese talent
moving to the United States; secondly, at the graduate education stage, U.S. private universities, such as Carnegie
Mellon University, serve as key hubs, while at the employment stage, companies such as Meta, Google, and
Amazon are the primary destinations; and finally, returning talent mainly comes from institutions such as the
University of California, Berkeley, and is highly concentrated in China’s three major science and technology
innovation centers. Accordingly, AI talent attraction policies should closely monitor talent mobility trends at major
overseas hub institutions, strengthen differentiated talent attraction strategies across China’s three major science
and technology innovation centers, and enhance the ability of domestic technology companies to attract top talent. |
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