Analysis of Characteristics of International Scientific Awards Based on Prize Informatics

Ren Xiaoya; Zhang Zhiqiang

doi:10.13266/j.issn.2095-5472.2025.018

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Knowledge Management Forum ›› 2025, Vol. 10 ›› Issue (3) : 275-289. DOI: 10.13266/j.issn.2095-5472.2025.018 CSTR: 32306.14.CN11-6036.2025.018

Analysis of Characteristics of International Scientific Awards Based on Prize Informatics

Ren Xiaoya ¹^,² ,
Zhang Zhiqiang ³^,⁴

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Abstract

[Purpose/Significance] Prize Informatics is the applied research direction of Subject Informatics in the field of scientific awards. Research on data mining and knowledge discovery of scientific awards based on Prize Informatics can quantitatively characterize the evolution of scientific innovation activities. [Method/Process] Based on an overview of the development history of international scientific awards and the research value of award data mining analysis, this study further selected three internationally authoritative S&T awards as key analysis subjects, conducting systematic quantitative data mining and measuring the patterns of scientific evolution. [Result/Conclusion] Empirical analysis reveals that scientific awards with domain representativeness generally exhibit scientometric characteristics or patterns, including the centralization of award-winning countries and institutions, the aging of awardees, the award time lag, the trend of innovation peak ages being in the middle and youth, the diversification of awardees' collaboration networks, and the evolution of the impact of scientific discoveries.

Key words

prize informatics / subject informatics / scientific awards / evolutionary laws

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Ren Xiaoya , Zhang Zhiqiang. Analysis of Characteristics of International Scientific Awards Based on Prize Informatics[J]. Knowledge Management Forum. 2025, 10(3): 275-289 https://doi.org/10.13266/j.issn.2095-5472.2025.018

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Funding

This work is supported by Reserach Funds for the Central Universities of Ministry of Education of China Project titled "Research on the Growth and Innovation Laws of Talents in Basic Frontier Fields Based on Prize Informatics"(SWU2509732)