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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Loureiro, P., Horta, H. & Santos, J. M. (2021). Mapping case studies of public engagement and participation in science and technology. Science and Technology Studies. 34 (2), 46-64
Exportar Referência (IEEE) 
P. D. Loureiro et al.,  "Mapping case studies of public engagement and participation in science and technology", in Science and Technology Studies, vol. 34, no. 2, pp. 46-64, 2021
Exportar BibTeX 
@article{loureiro2021_1714149176939,
	author = "Loureiro, P. and Horta, H. and Santos, J. M.",
	title = "Mapping case studies of public engagement and participation in science and technology",
	journal = "Science and Technology Studies",
	year = "2021",
	volume = "34",
	number = "2",
	doi = "10.23987/sts.88827",
	pages = "46-64",
	url = "https://sciencetechnologystudies.journal.fi/about"
}
Exportar RIS 
TY  - JOUR
TI  - Mapping case studies of public engagement and participation in science and technology
T2  - Science and Technology Studies
VL  - 34
IS  - 2
AU  - Loureiro, P.
AU  - Horta, H.
AU  - Santos, J. M.
PY  - 2021
SP  - 46-64
SN  - 2243-4690
DO  - 10.23987/sts.88827
UR  - https://sciencetechnologystudies.journal.fi/about
AB  - In recent years, increasing criticism has been levelled against case study based research on public
engagement and participation in science and technology (PEST). Most critics argue that such
case studies are highly contextual and fail to provide global, holistic and systemic views of public
engagement phenomena. In this study, we mapped the case study literature on PEST by identifying a
robust sample of articles, and analysed it looking for emerging patterns that could provide empirical
evidence for new frameworks of public engagement design and analysis. Results show that the case
study based literature on PEST continues to grow, although concentrated in a few countries and
knowledge domains. The trends that emerged from the sample reveal high centralisation and planning
and suggest that deficit science communication models are still common. We argue that future
frameworks may focus on decentralising hierarchical power and dependency relationships between
agents.
ER  -