Exploring the invisible college of citizen science: questions, methods and contributions
Lala Hajibayova (),
L. P. Coladangelo () and
Heather A. Soyka ()
Additional contact information
Lala Hajibayova: Kent State University
L. P. Coladangelo: Kent State University
Heather A. Soyka: Kent State University
Scientometrics, 2021, vol. 126, issue 8, No 27, 6989-7003
Abstract:
Abstract This study contributes to an understanding of citizen science using the lens of collaborative scientific communication and methods as a key part of theoretically driven citizen science projects. Findings of this study demonstrate application of diverse research methodologies to understand various aspects of individuals’ participation in science projects, including incentives for engagement and motivation. Research questions addressed by citizen science studies revealed seven broad areas of scholarly interest: natural science, behavior, social justice, technology, education, research design, and health. Citizen science research was predominantly led by questions associated with natural and behavioral sciences, including environmentalism and conservation, climate and climate change, environmental monitoring, and the motivations of individuals to become citizen scientists. Applied citizen science research demonstrated a relatively higher preference for survey and mixed method approaches.
Keywords: Citizen science; Citizen science analysis; Citizen science research; Citizen science methods (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-021-04050-6 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:126:y:2021:i:8:d:10.1007_s11192-021-04050-6
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-021-04050-6
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 ().