TY - JOUR
T1 - Science of science
AU - Fortunato, Santo
AU - Bergstrom, Carl T.
AU - Börner, Katy
AU - Evans, James A.
AU - Helbing, Dirk
AU - Milojević, Staša
AU - Petersen, Alexander M.
AU - Radicchi, Filippo
AU - Sinatra, Roberta
AU - Uzzi, Brian
AU - Vespignani, Alessandro
AU - Waltman, Ludo
AU - Wang, Dashun
AU - Barabási, Albert László
N1 - Publisher Copyright:
© 2018 American Association for the Advancement of Science. All rights reserved.
PY - 2018/3/2
Y1 - 2018/3/2
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85042855814
U2 - 10.1126/science.aao0185
DO - 10.1126/science.aao0185
M3 - Review Article
C2 - 29496846
AN - SCOPUS:85042855814
SN - 0036-8075
VL - 359
JO - Science
JF - Science
IS - 6379
M1 - eaao0185
ER -