科学的科学
Santo Fortunato1,2, Carl T Bergstrom3, Katy Börner2,4
1Center for Complex Networks and Systems Research, School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA. santo@indiana.edu barabasi@gmail.com.
概括
科学的科学分析大数据集以了解科学进步并创建预测模型. 这项研究为加强科学事业,研究评估和资助策略的政策提供了信息.
科学领域:
- 科学的科学
- 跨学科研究
- 科学企业分析
背景情况:
- 了解科学演变对于有效的政策设计至关重要.
- 通过更好地了解科学进步, 可以改善目前的政策.
研究的目的:
- 为了回顾科学近期的进步.
- 突出使用大型数据来识别科学模式.
主要方法:
- 对科学生产的大规模数据的分析.
- 识别科学中普遍的和特定领域的模式.
主要成果:
- 科学领域的科学正在迅速发展.
- 数据驱动的洞察力可以指导科学进步的政策.
结论:
- 科学的预测模型对于优化研究环境至关重要.
- 这一领域提供了改善科学职业,评估和资金的工具.
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