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Travel bans and scientific mobility: utility of asymmetry and affinity indexes to inform science policy

Author

Listed:
  • Zaida Chinchilla-Rodríguez

    (Consejo Superior de Investigaciones Científicas (CSIC)
    Indiana University Bloomington)

  • Yi Bu

    (Indiana University Bloomington)

  • Nicolás Robinson-García

    (Georgia Institute of Technology)

  • Rodrigo Costas

    (Leiden University
    Stellenbosch University)

  • Cassidy R. Sugimoto

    (Indiana University Bloomington
    Leiden University)

Abstract

This study explores the international profiles in collaboration and mobility of countries included in the so-called “travel bans” implemented by US President Trump as executive order in 2017. The objective of this research is to analyze the exchange of knowledge between countries and the relative importance of specific countries in order to inform evidence-based science policy. The work serves as a proof-of-concept of the utility of asymmetry and affinity indexes for collaboration and mobility. Comparative analyses of these indicators can be useful for informing immigration policies and motivating collaboration and mobility relationships—emphasizing the importance of geographic and cultural similarities. Egocentric and relational perspectives are analyzed to provide various lenses on the importance of countries. Our analysis suggests that comparisons of collaboration and mobility from an affinity perspective can identify discrepancies between levels of collaboration and mobility. This approach can inform international immigration policies and, if extended, demonstrate potential partnerships at several levels of analysis (e.g., institutional, sectoral, state/province).

Suggested Citation

  • Zaida Chinchilla-Rodríguez & Yi Bu & Nicolás Robinson-García & Rodrigo Costas & Cassidy R. Sugimoto, 2018. "Travel bans and scientific mobility: utility of asymmetry and affinity indexes to inform science policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 569-590, July.
    • Handle: RePEc:spr:scient:v:116:y:2018:i:1:d:10.1007_s11192-018-2738-2
    DOI: 10.1007/s11192-018-2738-2
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    References listed on IDEAS

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    Cited by:

    1. Asli Ebru Şanlitürk & Samin Aref & Emilio Zagheni & Francesco C. Billari, 2022. "Homecoming after Brexit: evidence on academic migration from bibliometric data," MPIDR Working Papers WP-2022-019, Max Planck Institute for Demographic Research, Rostock, Germany.
    2. Zaida Chinchilla-Rodríguez & Yi Bu & Nicolás Robinson-García & Cassidy R. Sugimoto, 2021. "An empirical review of the different variants of the probabilistic affinity index as applied to scientific collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1775-1795, February.
    3. Ciriaco Andrea D’Angelo & Nees Jan Eck, 2020. "Collecting large-scale publication data at the level of individual researchers: a practical proposal for author name disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 883-907, May.
    4. Momeni, Fakhri & Karimi, Fariba & Mayr, Philipp & Peters, Isabella & Dietze, Stefan, 2022. "The many facets of academic mobility and its impact on scholars' career," Journal of Informetrics, Elsevier, vol. 16(2).
    5. Zhao, Zhenyue & Bu, Yi & Kang, Lele & Min, Chao & Bian, Yiyang & Tang, Li & Li, Jiang, 2020. "An investigation of the relationship between scientists’ mobility to/from China and their research performance," Journal of Informetrics, Elsevier, vol. 14(2).
    6. Prithwiraj Choudhury & Kirk Doran & Astrid Marinoni & Chungeun Yoon, 2022. "Loss of Peers and Individual Worker Performance: Evidence from H-1B Visa Denials," CESifo Working Paper Series 10152, CESifo.

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    More about this item

    Keywords

    International collaboration; Mobility; US travel ban; Similarity measures; Association strength; Science policy;
    All these keywords.

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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