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Internationalizing AI: evolution and impact of distance factors
Xuli Tang1, Xin Li2, Feicheng Ma3
1School of Information Management, Central China Normal University, Wuhan, 430079 China.
Scientometrics
|January 17, 2022
Summary
International collaboration in artificial intelligence (AI) research is limited. Geographic, economic, and academic distances hinder AI collaborations, while industrial proximity and participation from major players like the US and China promote it.
Area of Science:
- Bibliometrics and Scientometrics
- Artificial Intelligence (AI) Research Collaboration
Background:
- International collaboration is crucial for AI advancement.
- Limited research exists on how distance factors impact AI research collaborations.
Purpose of the Study:
- To investigate the effect of various distance factors on international AI research collaboration.
- To quantify distance using a framework of 13 indicators across five perspectives.
Main Methods:
- Analysis of 1,294,644 AI-related collaborative papers from the Microsoft Academic Graph.
- Descriptive and regression analyses to examine relationships between distance factors and collaboration.
Main Results:
- Only 15.7% of AI research is internationally collaborative.
- Geographic, economic, and academic distances negatively correlate with AI collaboration.
- Industrial distance positively correlates with AI collaboration; US and China participation boosts collaboration.
Conclusions:
- Distance significantly shapes international AI research collaboration patterns.
- Understanding these factors is key for fostering global AI research networks.
Keywords:
AIAcademic distanceArtificial intelligenceCultural distanceEconomic distanceGeographic distanceIndustrial distanceInternational collaborationMore Related Videos
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