Contributions of Data Science to Digital Government Research Contributions of Data Science to Digital Government Research

被引:2
|
作者
Hagen, Loni [1 ]
Harrison, Teresa M. [2 ]
Falling, Mary [1 ]
机构
[1] Univ S Florida, Sch Informat, Tampa, FL 33620 USA
[2] SUNY Albany, Dept Commun, Albany, NY 12222 USA
基金
新加坡国家研究基金会;
关键词
data science; data mining; digital government research; applied data science; DATA ANALYTICS; BIG DATA;
D O I
10.1145/3463677.3463683
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this study we reflect on the past ten years of data-driven research in the field of digital government in order to understand how researchers have embraced Data Science (DS) to enhance knowledge about digital government research and practices. Using a total of 248 unique articles, we conducted a systematic literature review. We found that applications of DS methods have been increasing and the ways in which DS methods are applied have been evolving. Some DS methods were more frequently used to accomplish specific types of outcomes. Although description is the major purpose of using DS methods, we found active efforts to engage in predictive modeling and tool development. We conclude the paper by discussing how DS contributes to digital government research and practices.
引用
收藏
页码:38 / 48
页数:11
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