领域(数学)
数据科学
工程伦理学
计算机科学
管理科学
认识论
工程类
哲学
数学
纯数学
作者
Santo Fortunato,Carl T. Bergstrom,Katy Börner,James A. Evans,Dirk Helbing,Staša Milojević,Alexander M. Petersen,Filippo Radicchi,Roberta Sinatra,Brian Uzzi,Alessandro Vespignani,Ludo Waltman,Dashun Wang,Albert‐László Barabási
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2018-03-01
卷期号:359 (6379)
被引量:1039
标识
DOI:10.1126/science.aao0185
摘要
The whys and wherefores of SciSci The science of science (SciSci) is based on a transdisciplinary approach that uses large data sets to study the mechanisms underlying the doing of science—from the choice of a research problem to career trajectories and progress within a field. In a Review, Fortunato et al. explain that the underlying rationale is that with a deeper understanding of the precursors of impactful science, it will be possible to develop systems and policies that improve each scientist's ability to succeed and enhance the prospects of science as a whole. Science , this issue p. eaao0185
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