基于奖项信息学的国际科学奖项特征规律分析——以3项国际奖项为例

任晓亚; 张志强

doi:10.13266/j.issn.2095-5472.2025.018

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知识管理论坛 ›› 2025, Vol. 10 ›› Issue (3) : 275-289. DOI: 10.13266/j.issn.2095-5472.2025.018 CSTR: 32306.14.CN11-6036.2025.018

知识管理的范式跃迁与创新生态重构专辑

基于奖项信息学的国际科学奖项特征规律分析——以3项国际奖项为例

任晓亚 ¹^,² ,
张志强 ³^,⁴

作者信息 +

Analysis of Characteristics of International Scientific Awards Based on Prize Informatics

Ren Xiaoya ¹^,² ,
Zhang Zhiqiang ³^,⁴

Author information +

文章历史 +

摘要

[目的/意义] 奖项信息学是学科信息学在科学奖项领域的应用研究方向。基于奖项信息学开展科学奖项的数据挖掘与知识发现研究，可以量化表征科学创新活动的演进规律。 [方法/过程] 在概述国际上科技奖项发展历程与奖项数据挖掘分析的研究价值的基础上，选择3项代表性科技领域国际权威奖项作为重点分析对象，进行系统地定量数据挖掘与科学演化规律测度。 [结果/结论] 实证分析发现，具有领域代表性的科学奖项普遍呈现出获奖国家机构集中化、获奖者老龄化、获奖时滞规律、创新峰值年龄中青年化、获奖者合作网络多样化、科学发现影响力演化等科学学特征或规律。

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.

导出引用

任晓亚 , 张志强. 基于奖项信息学的国际科学奖项特征规律分析——以3项国际奖项为例[J]. 知识管理论坛. 2025, 10(3): 275-289 https://doi.org/10.13266/j.issn.2095-5472.2025.018

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

中图分类号： G301

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