Gateway to Think Tanks
来源类型 | Report |
规范类型 | 报告 |
DOI | https://doi.org/10.7249/RRA1482-3 |
来源ID | RR-A1482-3 |
An Open-Source Method for Assessing National Scientific and Technological Standing: With Applications to Artificial Intelligence and Machine Learning | |
Jon Schmid | |
发表日期 | 2021-10-28 |
出版年 | 2021 |
页码 | 20 |
语种 | 英语 |
结论 |
|
摘要 | The author of this report develops a quick-turn and open-source methodology for assessing national standing in science and technology (S&T) for a given field. The approach entails the calculation of four metrics: high-impact publications, collaborative network density, quality-adjusted patents, and S&T organizational capacity for an analyst-defined S&T area. Following its presentation, the methodology is applied to the field of artificial intelligence and machine learning for nine countries: Germany, France, the United Kingdom, South Korea, Japan, India, Russia, China, and the United States. Using this approach, the author finds that the United States ranks first in three metrics (high-impact publications, collaborative network density, and S&T organizational capacity) and second to China in quality-adjusted patents. The author concludes the report by using the data collected to implement the methodology to explore three additional topics: international patterns of collaboration, the role and research foci of particular organizations, and an application area: the intersection of artificial intelligence and cybersecurity technology. |
目录 |
|
主题 | Bibliometrics ; Emerging Technologies ; Machine Learning |
URL | https://www.rand.org/pubs/research_reports/RRA1482-3.html |
来源智库 | RAND Corporation (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/524609 |
推荐引用方式 GB/T 7714 | Jon Schmid. An Open-Source Method for Assessing National Scientific and Technological Standing: With Applications to Artificial Intelligence and Machine Learning. 2021. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
RAND_RRA1482-3.pdf(1576KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
x1635423060545.jpg.p(4KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[Jon Schmid]的文章 |
百度学术 |
百度学术中相似的文章 |
[Jon Schmid]的文章 |
必应学术 |
必应学术中相似的文章 |
[Jon Schmid]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。