在科学科学科学中的数据,测量和经验方法
Lu Liu1,2,3,4, Benjamin F Jones1,2,3,5,6, Brian Uzzi1,2,3
1Center for Science of Science and Innovation, Northwestern University, Evanston, IL, USA.
Nature human behaviour
|June 1, 2023
概括
科学的科学使用数据和经验方法来研究科学进步. 本综述探讨了各种方法来提高科学研究的理解和生产力.
科学领域:
- 科学的科学科学科学科学的科学.
- 跨学科研究 跨学科研究
- 科学的经验研究科学的经验研究.
背景情况:
- 大规模的数据集使科学本身的研究成为可能.
- 越来越多的人对应用科学方法来理解科学过程感兴趣.
- 在科学领域的科学中,多学科的方法正在出现.
研究的目的:
- 审查关于科学科学的多学科文献.
- 通过数据,测量和方法分析经验方法.
- 提高对各种方法的理解,并扩大研究人员的工具包.
主要方法:
- 对科学科学领域现有文献的综述.
- 数据分析,测量和经验方法.
- 讨论各种方法的优点和局限性.
主要成果:
- 新的经验发展为测试科学框架提供了工具.
- 确定与科学生产率相关的因素.
- 改善科学结果的预测和政策设计.
结论:
- 科学科学中的实证发展正在改变研究.
- 对方法的更好理解可以促进科学进步.
- 数据驱动的洞察力可以优化科学生产力和成果.
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