TY - GEN
T1 - Investigating the Potential of Data from an Academic Social Network (GPS)
AU - Marques, João Lourenço
AU - Bressan, Giorgia
AU - Santos, Carlos
AU - Pedro, Luís
AU - Marçal, David
AU - Raposo, Rui
N1 - UIDB/05021/2020
UIDP/05021/2020
PY - 2020
Y1 - 2020
N2 - There are several references in the literature highlighting the importance of the international scientific mobility studies and several examples of how this academic population has been characterized. Typically, the analysis of academic mobility has been conducted by applying extensive surveys to a “representative” sample, in a specific moment in time, in which the profile of the researchers, that are working or studying in a foreign country, is then inferred. These analyses may suffer of structural lack of representativeness since the target population is unknown. As a structural and inherent issue in this research field, this article presents the results provided by the Portuguese academic social network GPS (Global Portuguese Scientists). It uses a valuable and exclusive data set of the research experiences, provided by Portuguese researchers, to describe and understand the academic dynamic of these researchers over the last years. The analysis considers different socio-demographic characteristics and the type of research (position, scientific research area, duration of the experience) they have been doing. The analysis shows that GPS users are pulled to the core countries of the science world system and points out that each destination of the Portuguese diaspora is associated with specific features of the mobile researchers and their research activity.
AB - There are several references in the literature highlighting the importance of the international scientific mobility studies and several examples of how this academic population has been characterized. Typically, the analysis of academic mobility has been conducted by applying extensive surveys to a “representative” sample, in a specific moment in time, in which the profile of the researchers, that are working or studying in a foreign country, is then inferred. These analyses may suffer of structural lack of representativeness since the target population is unknown. As a structural and inherent issue in this research field, this article presents the results provided by the Portuguese academic social network GPS (Global Portuguese Scientists). It uses a valuable and exclusive data set of the research experiences, provided by Portuguese researchers, to describe and understand the academic dynamic of these researchers over the last years. The analysis considers different socio-demographic characteristics and the type of research (position, scientific research area, duration of the experience) they have been doing. The analysis shows that GPS users are pulled to the core countries of the science world system and points out that each destination of the Portuguese diaspora is associated with specific features of the mobile researchers and their research activity.
KW - Academic social network
KW - Career path
KW - Data collection
KW - Empirical research
KW - International scientific mobility
KW - Mobile Portuguese Researchers
UR - http://www.scopus.com/inward/record.url?scp=85092721001&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-58799-4_55
DO - 10.1007/978-3-030-58799-4_55
M3 - Conference contribution
AN - SCOPUS:85092721001
SN - 978-3-030-58798-7
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 760
EP - 775
BT - Computational Science and Its Applications
A2 - Gervasi, Osvaldo
A2 - Murgante, Beniamino
A2 - Misra, Sanjay
A2 - Garau, Chiara
A2 - Blecic, Ivan
A2 - Taniar, David
A2 - Apduhan, Bernady O.
A2 - Rocha, Ana Maria A.C.
A2 - Tarantino, Eufemia
A2 - Torre, Carmelo Maria
A2 - Karaca, Yeliz
PB - Springer Science and Business Media Deutschland GmbH
CY - Berlim
T2 - 20th International Conference on Computational Science and Its Applications, ICCSA 2020
Y2 - 1 July 2020 through 4 July 2020
ER -