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Beijing’s central role in global artificial intelligence research

Nations worldwide are mobilizing to harness the power of Artificial Intelligence (AI) given its massive potential to shape global competitiveness over the coming decades. Using a dataset of 2.2 million AI papers, we study inter-city citations, collaborations, and talent migrations to uncover depende...

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Autores principales: AlShebli, Bedoor, Cheng, Enshu, Waniek, Marcin, Jagannathan, Ramesh, Hernández-Lagos, Pablo, Rahwan, Talal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744801/
https://www.ncbi.nlm.nih.gov/pubmed/36509790
http://dx.doi.org/10.1038/s41598-022-25714-0
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author AlShebli, Bedoor
Cheng, Enshu
Waniek, Marcin
Jagannathan, Ramesh
Hernández-Lagos, Pablo
Rahwan, Talal
author_facet AlShebli, Bedoor
Cheng, Enshu
Waniek, Marcin
Jagannathan, Ramesh
Hernández-Lagos, Pablo
Rahwan, Talal
author_sort AlShebli, Bedoor
collection PubMed
description Nations worldwide are mobilizing to harness the power of Artificial Intelligence (AI) given its massive potential to shape global competitiveness over the coming decades. Using a dataset of 2.2 million AI papers, we study inter-city citations, collaborations, and talent migrations to uncover dependencies between Eastern and Western cities worldwide. Beijing emerges as a clear outlier, as it has been the most impactful city since 2007, the most productive since 2002, and the one housing the largest number of AI scientists since 1995. Our analysis also reveals that Western cities cite each other far more frequently than expected by chance, East–East collaborations are far more common than East–West or West–West collaborations, and migration of AI scientists mostly takes place from one Eastern city to another. We then propose a measure that quantifies each city’s role in bridging East and West. Beijing’s role surpasses that of all other cities combined, making it the central gateway through which knowledge and talent flow from one side to the other. We also track the center of mass of AI research by weighing each city’s geographic location by its impact, productivity, and AI workforce. The center of mass has moved thousands of kilometers eastward over the past three decades, with Beijing’s pull increasing each year. These findings highlight the eastward shift in the tides of global AI research, and the growing role of the Chinese capital as a hub connecting researchers across the globe.
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spelling pubmed-97448012022-12-14 Beijing’s central role in global artificial intelligence research AlShebli, Bedoor Cheng, Enshu Waniek, Marcin Jagannathan, Ramesh Hernández-Lagos, Pablo Rahwan, Talal Sci Rep Article Nations worldwide are mobilizing to harness the power of Artificial Intelligence (AI) given its massive potential to shape global competitiveness over the coming decades. Using a dataset of 2.2 million AI papers, we study inter-city citations, collaborations, and talent migrations to uncover dependencies between Eastern and Western cities worldwide. Beijing emerges as a clear outlier, as it has been the most impactful city since 2007, the most productive since 2002, and the one housing the largest number of AI scientists since 1995. Our analysis also reveals that Western cities cite each other far more frequently than expected by chance, East–East collaborations are far more common than East–West or West–West collaborations, and migration of AI scientists mostly takes place from one Eastern city to another. We then propose a measure that quantifies each city’s role in bridging East and West. Beijing’s role surpasses that of all other cities combined, making it the central gateway through which knowledge and talent flow from one side to the other. We also track the center of mass of AI research by weighing each city’s geographic location by its impact, productivity, and AI workforce. The center of mass has moved thousands of kilometers eastward over the past three decades, with Beijing’s pull increasing each year. These findings highlight the eastward shift in the tides of global AI research, and the growing role of the Chinese capital as a hub connecting researchers across the globe. Nature Publishing Group UK 2022-12-12 /pmc/articles/PMC9744801/ /pubmed/36509790 http://dx.doi.org/10.1038/s41598-022-25714-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
AlShebli, Bedoor
Cheng, Enshu
Waniek, Marcin
Jagannathan, Ramesh
Hernández-Lagos, Pablo
Rahwan, Talal
Beijing’s central role in global artificial intelligence research
title Beijing’s central role in global artificial intelligence research
title_full Beijing’s central role in global artificial intelligence research
title_fullStr Beijing’s central role in global artificial intelligence research
title_full_unstemmed Beijing’s central role in global artificial intelligence research
title_short Beijing’s central role in global artificial intelligence research
title_sort beijing’s central role in global artificial intelligence research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744801/
https://www.ncbi.nlm.nih.gov/pubmed/36509790
http://dx.doi.org/10.1038/s41598-022-25714-0
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