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Investigating the Potential of Data from an Academic Social Network (GPS)

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

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Abstract

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.

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Notes

  1. 1.

    (a) Agrarian Sciences, (b) Medical Sciences, (c) Natural Sciences, (d) Social Sciences, (e) Engineering and Technology; and (f) Humanities.

  2. 2.

    (a) PhD researcher, (b) PhD student, (c) Non-doctoral researcher, (d) Researcher/visiting professor, (e) Leadership functions, (f) Research technician, (g) Science communicator or science manager, (h) Other.

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Acknowledgements

GPS results from a collaboration of several Portuguese organizations: two private foundations (Fundação Francisco Manuel dos Santos and Fundação PT), a public university (Universidade de Aveiro) and the national agency for promoting scientific culture (Ciência Viva). These promoters ensure both technical needs and social impact of the network. The authors wish to thank the organizations that have made GPS possible. In particular, Carlos Fiolhais, Pedro Magalhães, Mónica Vieira and Maria Ferreira from Francisco Manuel dos Santos Foundation; Rosalia Vargas, from the Ciência Viva Agency; and the research units of the University of Aveiro, Digimedia and GOVCOPP. We also thank the associations of Portuguese researchers abroad, which are partners of the GPS initiative: the Association of Portuguese Postgraduates in Germany (ASPPA), the Association des Diplômés Portugais en France (AGRAFr), the Portuguese American Post-graduate Society (PAPS), the Portuguese Association of Researchers and Students in the UK (PARSUK), Native Scientists and the Portuguese Association of Students, Researchers and Graduates in Belgium, the Netherlands and Luxembourg (APEI Benelux).

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Authors and Affiliations

  1. GOVCOPP, Department of Social, Political and Territorial Sciences - GOVCOPP, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal

    João Lourenço Marques

  2. Department of Languages and Literatures, Communication, Education and Society (DILL), University of Udine, Via Petracco 8, 33100, Udine, Italy

    Giorgia Bressan

  3. Department of Communication and Arts - DigiMCedia, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal

    Carlos Santos, Luís Pedro & Rui Raposo

  4. INOVA Media Lab/ICNOVA, Nova School of Social Sciences and Humanities, Lisbon, Portugal

    David Marçal

Authors
  1. João Lourenço Marques
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  2. Giorgia Bressan
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  3. Carlos Santos
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  4. Luís Pedro
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  5. David Marçal
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  6. Rui Raposo
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Correspondence to João Lourenço Marques .

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Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Chair- Center of ICT/ICE, Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Clayton School of Information Technology, Monash University, Clayton, VIC, Australia

    David Taniar

  7. Department of Information Science, Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

  11. Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

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Marques, J.L., Bressan, G., Santos, C., Pedro, L., Marçal, D., Raposo, R. (2020). Investigating the Potential of Data from an Academic Social Network (GPS). In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12249. Springer, Cham. https://doi.org/10.1007/978-3-030-58799-4_55

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  • DOI: https://doi.org/10.1007/978-3-030-58799-4_55

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