Science of science

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

*Corresponding author for this work

Research output: Contribution to journalReview article

138 Scopus citations

Abstract

Identifying fundamental drivers of science and developing predictive models to capture its evolution are instrumental for the design of policies that can improve the scientific enterprise-for example, through enhanced career paths for scientists, better performance evaluation for organizations hosting research, discovery of novel effective funding vehicles, and even identification of promising regions along the scientific frontier. The science of science uses large-scale data on the production of science to search for universal and domain-specific patterns. Here, we review recent developments in this transdisciplinary field.

Original languageEnglish (US)
Article numbereaao0185
JournalScience
Volume359
Issue number6379
DOIs
StatePublished - Mar 2 2018

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ASJC Scopus subject areas

  • General

Cite this

Fortunato, S., Bergstrom, C. T., Börner, K., Evans, J. A., Helbing, D., Milojević, S., Petersen, A. M., Radicchi, F., Sinatra, R., Uzzi, B., Vespignani, A., Waltman, L., Wang, D., & Barabási, A. L. (2018). Science of science. Science, 359(6379), [eaao0185]. https://doi.org/10.1126/science.aao0185