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Author(s)

Santo Fortunato

Carl Bergstrom

Katy Borner

James Evans

Dirk Helbing

Stasa Milojevic

Alexander Petersen

Filippo Radicchi

Roberta Sinatra

Brian Uzzi

Alessandro Vespignani

Ludo Waltman

Dashun Wang

Albert-Laszlo Barabasi

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.
Date Published: 2018
Citations: Fortunato, Santo, Carl Bergstrom, Katy Borner, James Evans, Dirk Helbing, Stasa Milojevic, Alexander Petersen, Filippo Radicchi, Roberta Sinatra, Brian Uzzi, Alessandro Vespignani, Ludo Waltman, Dashun Wang, Albert-Laszlo Barabasi. 2018. Science of Science. Science. (6379)