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揭示全球脑循环的时空动态:一个综合语料库(2000 - 2024年)

Unveiling the Spatiotemporal Dynamics of Global Brain Circulation: A Comprehensive Corpus (2000-2024).

作者信息

Hu Zhiwen, Qiu Yang, Jiang Haihua, Ma Xiao, Han Lv, Lei Saihua, Niu Haojia

机构信息

School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, 310018, China.

Collaborative Innovation Center of Computational Social Science, Zhejiang Gongshang University, Hangzhou, 310018, China.

出版信息

Sci Data. 2025 Jun 4;12(1):938. doi: 10.1038/s41597-025-05268-2.

DOI:10.1038/s41597-025-05268-2
PMID:40467623
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12137863/
Abstract

The global competition for human capital is fuelled by intricate brain circulation dynamics, where individuals with specialized skills traverse geographic, organizational, and national boundaries to address workforce demands. However, a comprehensive framework for integrating and interpreting heterogeneous data on global brain circulation remains elusive. Here we introduce the Global Brain Circulation Dynamics (GBCD) corpus, a longitudinally integrated repository of geo-information encompassing 223 countries/regions from 2000 to 2024. Garnered from diachronic narrative texts, the GBCD corpus provides granular insights into transnational brain circulation patterns and their interconnections with sociocultural progress. Continuously updated to reflect spatiotemporal dynamics, the GBCD corpus serves as a definitive reference for real-time and ex-post analysis of global brain circulation. Our analysis reveals two pivotal findings: (i) narrative brain circulation closely mirrors physical brain mobility, and (ii) geopolitical relations and spatiotemporal dynamics exhibit distinct patterns across countries/regions. The GBCD corpus establishes a novel benchmark for examining spatiotemporal brain circulation worldwide, empowering policymakers to develop evidence-based strategies for attracting and retaining human capital in rapidly evolving global landscape.

摘要

全球对人力资本的竞争因复杂的人才环流动态而加剧,具有专业技能的个人跨越地理、组织和国家界限,以满足劳动力需求。然而,一个整合和解释全球人才环流异质数据的综合框架仍然难以捉摸。在此,我们引入全球人才环流动态(GBCD)语料库,这是一个纵向整合的地理信息库,涵盖2000年至2024年的223个国家/地区。GBCD语料库源自历时性叙述文本,提供了对跨国人才环流模式及其与社会文化进步的相互关系的详细洞察。不断更新以反映时空动态,GBCD语料库为全球人才环流的实时和事后分析提供了权威性参考。我们的分析揭示了两个关键发现:(i)叙述性人才环流与实际人才流动密切相关,(ii)地缘政治关系和时空动态在不同国家/地区呈现出不同模式。GBCD语料库为研究全球时空人才环流建立了一个新的基准,使政策制定者能够制定基于证据的战略,在快速变化的全球格局中吸引和留住人力资本。

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