Science of science
Staša Milojević ()
Additional contact information
Staša Milojević: Luddy School of Informatics, Computing and Engineering, Indiana University Bloomington
Scientometrics, 2025, vol. 130, issue 6, No 8, 3195-3211
Abstract:
Abstract This paper presents an overview of the interdisciplinary field of science of science in the context of previous efforts to quantitatively study science, dating back to the 1920s. Rather than focusing on research questions/problems that science of science addresses, this paper focuses on the challenges for the field in its second century. In particular, it addresses existing and potential new sources of data, theoretically-based interpretation of the existing measures/indicators, and the development of new ones. The paper highlights the role of qualitative scholarship to inform current quantitative efforts. Finally, it discusses the efforts to model science as a complex multi-layered system using ideas from ecology, evolution theory, and the latest advancements in artificial intelligence and other types of modeling.
Keywords: Science of science; Quantitative science studies; Scientometrics (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11192-025-05322-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:130:y:2025:i:6:d:10.1007_s11192-025-05322-1
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-025-05322-1
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().