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 language | English (US) |
|---|---|
| Article number | eaao0185 |
| Journal | Science |
| Volume | 359 |
| Issue number | 6379 |
| DOIs | |
| State | Published - Mar 2 2018 |
Funding
This work was supported by Air Force Office of Scientific Research grants FA9550-15-1-0077 (A.-L.B., R.S., and A.V.), FA9550-15-1-0364 (A.-L.B. and R.S.), FA9550-15-1-0162 (J.A.E. and D.W.), and FA9550-17-1-0089 (D.W.); National Science Foundation grants NCSE 1538763, EAGER 1566393, and NCN CP supplement 1553044 (K.B.) and SBE1158803 (J.A.E.); National Institutes of Health awards P01 AG039347 and U01CA198934 (K.B.) and IIS-0910664 (B.U.); Army Research Office grant W911NF-15-1-0577 and Northwestern University Institute on Complex Systems (B.U.); DARPA (Defense Advanced Research Projects Agency) Big Mechanism program grant 14145043 and the John Templeton Foundation’s grant to the Metaknowledge Network (J.A.E.); Intellectual Themes Initiative “Just Data” project (R.S.); and European Commission H2020 FETPROACT-GSS CIMPLEX grant 641191 (R.S. and A.-L.B.). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of our funders. This work was supported by Air Force Office of Scientific Research grants FA9550-15-1-0077 (A.-L.B., R.S., and A.V.), FA9550-15-1-0364 (A.-L.B. and R.S.), FA9550-15-1-0162 (J.A.E. and D.W.), and FA9550-17-1-0089 (D.W.); National Science Foundation grants NCSE 1538763, EAGER 1566393, and NCN CP supplement 1553044 (K.B.) and SBE1158803 (J.A.E.); National Institutes of Health awards P01 AG039347 and U01CA198934 (K.B.) and IIS-0910664 (B.U.); Army Research Office grant W911NF-15-1-0577 and Northwestern University Institute on Complex Systems (B.U.); DARPA (Defense Advanced Research Projects Agency) Big Mechanism program grant 14145043 and the John Templeton Foundation's grant to the Metaknowledge Network (J.A.E.); Intellectual Themes Initiative "Just Data" project (R.S.); and European Commission H2020 FETPROACT-GSS CIMPLEX grant 641191 (R.S. and A.-L.B.). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of our funders.
ASJC Scopus subject areas
- General