学术数据科学:跨学科和超学科的视野.
Anissa Tanweer1, James Steinhoff2
1University of Washington, Seattle, WA, USA.
Social studies of science
|July 7, 2023
概括
数据科学被视为与学术领域分开或集成. 这项研究提出数据科学作为一个"外学科",促进知识交换,同时尊重学科界限.
科学领域:
- 学术知识生产学术知识的生产.
- 数据科学研究数据科学研究.
- 科学和技术研究 (STS)
背景情况:
- 数据科学是一个新兴的学术领域,具有未定义的特征.
- 了解数据科学是如何被理解的,对于它的发展至关重要.
- 现有的研究缺乏数据科学学术定位的明确框架.
研究的目的:
- 探索利益相关者如何在大学环境中定义数据科学.
- 识别对数据科学角色和性质的对立观点.
- 提出数据科学作为一个外学科的新概念化.
主要方法:
- 在研究型大学建立数据科学参与者的定性研究.
- 分析参与者如何定义数据科学及其与数据科学的关系.
- 对数据科学学科整合的对比观点的检查.
主要成果:
- 数据科学出现了两个主要的愿景:跨学科和超学科.
- 跨学科的观点认为,数据科学与学术领域分开,并对学术领域施加压力.
- 更普遍的超学科观点将数据科学定位为综合,并促进跨学科交流.
结论:
- 超学科概念提供了一个更准确的反映数据科学当前的现实.
- 这种框架对数据科学领域未来的成熟有重大影响.
- 超学科概念为STS研究在学术知识生产和学科性方面提供了新的途径.
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