通过分析5万项NSF资助项目，揭示信息技术研究的核心特征。
Identifying Information Technology Research Trends through Text Mining of NSF Awards
- 用文本挖掘方法分析1985至2024年50780个NSF CISE项目摘要
- 发现IT研究更关注用户、组织与社会需求，区别于基础设施导向研究
- 为识别和定义信息技术研究领域提供可量化的依据，适合政策制定者参考
信息技术（IT）被视为一个独立且独特的研究领域。然而，如何准确识别并区分其与相近领域的研究仍存在模糊性。为此，本文对1985年至2024年间获得美国国家科学基金会（NSF）CISE资助的50,780份项目摘要进行了大规模文本挖掘分析。根据文献中的IT定义，将面向人类的项目归类为IT研究项目，将聚焦基础设施的项目归类为其他研究项目。该新方法帮助我们识别出IT研究的核心概念，并比较其与其它研究领域的异同。结果表明，IT研究通过更关注用户、组织及社会需求，体现出自身独特性。
原文摘要 · Abstract (English)
Information Technology (IT) is recognized as an independent and unique research field. However, there has been ambiguity and difficulty in identifying and differentiating IT research from other close variations. Given this context, this paper aimed to explore the roots of the Information Technology (IT) research domain by conducting a large-scale text mining analysis of 50,780 abstracts from awarded NSF CISE grants from 1985 to 2024. We categorized the awards based on their program content, labeling human-centric programs as IT research programs and infrastructure-centric programs as other research programs based on the IT definitions in the literature. This novel approach helped us identify the core concepts of IT research and compare the similarities and differences between IT research and other research areas. The results showed that IT differentiates itself from other close variations by focusing more on the needs of users, organizations, and societies.
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