IDEAS home Printed from https://ideas.repec.org/a/oup/rseval/v22y2013i2p134-144.html
   My bibliography  Save this article

Facilitating social and natural science cross-disciplinarity: Assessing the human and social dynamics program

Author

Listed:
  • Jon Garner
  • Alan L. Porter
  • Maura Borrego
  • Elizabeth Tran
  • Rita Teutonico

Abstract

Research that integrates the social and natural sciences is vital to address many societal challenges, yet is difficult to arrange, conduct, and disseminate. This article analyses the cross-disciplinary character of the research supported by a unique US National Science Foundation program on Human and Social Dynamics (HSD). It presents evidence that research publications deriving from this support chiefly pertain to the Social and Behavioral Sciences, but extend widely into the Bio and Medical Sciences, Environmental Sciences, and Physical Sciences and Engineering. Integration scores, based on the diversity of references cited, indicate that the HSD-derived publications are notably more interdisciplinary than those of comparable programs. Diffusion scores, together with science overlay maps, show that uptake of the HSD publications extends into the natural, as well as social, sciences. Research networking analyses, together with a new composite mapping approach, point toward successful catalysis of a new research community. The measures and maps of cross-disciplinary research activity that are advanced here may prove useful in other research assessments. Copyright The Author 2013. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com, Oxford University Press.

Suggested Citation

  • Jon Garner & Alan L. Porter & Maura Borrego & Elizabeth Tran & Rita Teutonico, 2013. "Facilitating social and natural science cross-disciplinarity: Assessing the human and social dynamics program," Research Evaluation, Oxford University Press, vol. 22(2), pages 134-144, February.
    • Handle: RePEc:oup:rseval:v:22:y:2013:i:2:p:134-144
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/reseval/rvt001
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shiji Chen & Clément Arsenault & Yves Gingras & Vincent Larivière, 2015. "Exploring the interdisciplinary evolution of a discipline: the case of Biochemistry and Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1307-1323, February.
    2. Deana Pennington, 2016. "A conceptual model for knowledge integration in interdisciplinary teams: orchestrating individual learning and group processes," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 6(2), pages 300-312, June.
    3. K. E. Halvorsen & J. L. Knowlton & A. S. Mayer & C. C. Phifer & T. Martins & E. C. Pischke & T. S. Propato & P. Cavigliasso & C. Garcia & M. Chiappe & A. Eastmond & J. Licata & M. Kuhlberg & R. Medeir, 2016. "A case study of strategies for fostering international, interdisciplinary research," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 6(2), pages 313-323, June.
    4. Jon Garner & Alan L. Porter & Nils C. Newman, 2014. "Distance and velocity measures: using citations to determine breadth and speed of research impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 687-703, September.
    5. Lorenzo Cassi & Wilfriedo Mescheba & Élisabeth Turckheim, 2014. "How to evaluate the degree of interdisciplinarity of an institution?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1871-1895, December.
    6. Sándor Soós & Zsófia Vida & András Schubert, 2018. "Long-term trends in the multidisciplinarity of some typical natural and social sciences, and its implications on the SSH versus STM distinction," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 795-822, March.
    7. Koppman, Sharon & Leahey, Erin, 2019. "Who moves to the methodological edge? Factors that encourage scientists to use unconventional methods," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    8. Andrea Bonaccorsi & Nicola Melluso & Francesco Alessandro Massucci, 2022. "Exploring the antecedents of interdisciplinarity at the European Research Council: a topic modeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6961-6991, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:rseval:v:22:y:2013:i:2:p:134-144. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/rev .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.