Fostering interdisciplinary collaboration: A longitudinal social network analysis of the NIH mHealth Training Institutes

Abstract Background/Objective: Growing recognition that collaboration among scientists from diverse disciplines fosters the emergence of solutions to complex scientific problems has spurred initiatives to train researchers to collaborate in interdisciplinary teams. Evaluations of collaboration pat...

Full description

Bibliographic Details
Main Authors: Eric Ho, Minjeong Jeon, Minho Lee, Jinwen Luo, Angela F Pfammatter, Vivek Shetty, Bonnie Spring
Format: Article
Language:English
Published: Cambridge University Press 2021-01-01
Series:Journal of Clinical and Translational Science
Subjects:
Online Access:https://www.cambridge.org/core/product/identifier/S2059866121008591/type/journal_article
_version_ 1811156597995470848
author Eric Ho
Minjeong Jeon
Minho Lee
Jinwen Luo
Angela F Pfammatter
Vivek Shetty
Bonnie Spring
author_facet Eric Ho
Minjeong Jeon
Minho Lee
Jinwen Luo
Angela F Pfammatter
Vivek Shetty
Bonnie Spring
author_sort Eric Ho
collection DOAJ
description Abstract Background/Objective: Growing recognition that collaboration among scientists from diverse disciplines fosters the emergence of solutions to complex scientific problems has spurred initiatives to train researchers to collaborate in interdisciplinary teams. Evaluations of collaboration patterns in these initiatives have tended to be cross-sectional, rather than clarifying temporal changes in collaborative dynamics. Mobile health (mHealth), the science of using mobile, wireless devices to improve health outcomes, is a field whose advancement needs interdisciplinary collaboration. The NIH-supported annual mHealth Training Institute (mHTI) was developed to meet that need and provides a unique testbed. Methods: In this study, we applied a longitudinal social network analysis technique to evaluate how well the program fostered communication among the disciplinarily diverse scholars participating in the 2017−2019 mHTIs. By applying separable temporal exponential random graph models, we investigated the formation and persistence of project-based and fun conversations during the mHTIs. Results: We found that conversations between scholars of different disciplines were just as likely as conversations within disciplines to form or persist in the 2018 and 2019 mHTI, suggesting that the mHTI achieved its goal of fostering interdisciplinary conversations and could be a model for other team science initiatives; this finding is also true for scholars from different career stages. The presence of team and gender homophily effects in certain years suggested that scholars tended to communicate within the same team or gender. Conclusion: Our results demonstrate the usefulness of longitudinal network models in evaluating team science initiatives while clarifying the processes driving interdisciplinary communications during the mHTIs.
first_indexed 2024-04-10T04:54:01Z
format Article
id doaj.art-aac396a2866e4086a7bee66c0ee8bdd7
institution Directory Open Access Journal
issn 2059-8661
language English
last_indexed 2024-04-10T04:54:01Z
publishDate 2021-01-01
publisher Cambridge University Press
record_format Article
series Journal of Clinical and Translational Science
spelling doaj.art-aac396a2866e4086a7bee66c0ee8bdd72023-03-09T12:31:03ZengCambridge University PressJournal of Clinical and Translational Science2059-86612021-01-01510.1017/cts.2021.859Fostering interdisciplinary collaboration: A longitudinal social network analysis of the NIH mHealth Training InstitutesEric Ho0https://orcid.org/0000-0002-9936-276XMinjeong Jeon1https://orcid.org/0000-0002-5880-4146Minho Lee2https://orcid.org/0000-0001-9083-1067Jinwen Luo3https://orcid.org/0000-0002-8511-7165Angela F Pfammatter4https://orcid.org/0000-0003-0081-4090Vivek Shetty5https://orcid.org/0000-0002-3167-3318Bonnie Spring6https://orcid.org/0000-0003-0692-9868Department of Education, UCLA, Los Angeles, California, USADepartment of Education, UCLA, Los Angeles, California, USADepartment of Education, UCLA, Los Angeles, California, USADepartment of Education, UCLA, Los Angeles, California, USADepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USADivision of Diagnostic and Surgical Sciences, School of Dentistry, UCLA, Los Angeles, California, USADepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA Abstract Background/Objective: Growing recognition that collaboration among scientists from diverse disciplines fosters the emergence of solutions to complex scientific problems has spurred initiatives to train researchers to collaborate in interdisciplinary teams. Evaluations of collaboration patterns in these initiatives have tended to be cross-sectional, rather than clarifying temporal changes in collaborative dynamics. Mobile health (mHealth), the science of using mobile, wireless devices to improve health outcomes, is a field whose advancement needs interdisciplinary collaboration. The NIH-supported annual mHealth Training Institute (mHTI) was developed to meet that need and provides a unique testbed. Methods: In this study, we applied a longitudinal social network analysis technique to evaluate how well the program fostered communication among the disciplinarily diverse scholars participating in the 2017−2019 mHTIs. By applying separable temporal exponential random graph models, we investigated the formation and persistence of project-based and fun conversations during the mHTIs. Results: We found that conversations between scholars of different disciplines were just as likely as conversations within disciplines to form or persist in the 2018 and 2019 mHTI, suggesting that the mHTI achieved its goal of fostering interdisciplinary conversations and could be a model for other team science initiatives; this finding is also true for scholars from different career stages. The presence of team and gender homophily effects in certain years suggested that scholars tended to communicate within the same team or gender. Conclusion: Our results demonstrate the usefulness of longitudinal network models in evaluating team science initiatives while clarifying the processes driving interdisciplinary communications during the mHTIs. https://www.cambridge.org/core/product/identifier/S2059866121008591/type/journal_articleTeam sciencemHTIprogram evaluationlongitudinal network analysiscommunicationsteam homophilygender homophily
spellingShingle Eric Ho
Minjeong Jeon
Minho Lee
Jinwen Luo
Angela F Pfammatter
Vivek Shetty
Bonnie Spring
Fostering interdisciplinary collaboration: A longitudinal social network analysis of the NIH mHealth Training Institutes
Journal of Clinical and Translational Science
Team science
mHTI
program evaluation
longitudinal network analysis
communications
team homophily
gender homophily
title Fostering interdisciplinary collaboration: A longitudinal social network analysis of the NIH mHealth Training Institutes
title_full Fostering interdisciplinary collaboration: A longitudinal social network analysis of the NIH mHealth Training Institutes
title_fullStr Fostering interdisciplinary collaboration: A longitudinal social network analysis of the NIH mHealth Training Institutes
title_full_unstemmed Fostering interdisciplinary collaboration: A longitudinal social network analysis of the NIH mHealth Training Institutes
title_short Fostering interdisciplinary collaboration: A longitudinal social network analysis of the NIH mHealth Training Institutes
title_sort fostering interdisciplinary collaboration a longitudinal social network analysis of the nih mhealth training institutes
topic Team science
mHTI
program evaluation
longitudinal network analysis
communications
team homophily
gender homophily
url https://www.cambridge.org/core/product/identifier/S2059866121008591/type/journal_article
work_keys_str_mv AT ericho fosteringinterdisciplinarycollaborationalongitudinalsocialnetworkanalysisofthenihmhealthtraininginstitutes
AT minjeongjeon fosteringinterdisciplinarycollaborationalongitudinalsocialnetworkanalysisofthenihmhealthtraininginstitutes
AT minholee fosteringinterdisciplinarycollaborationalongitudinalsocialnetworkanalysisofthenihmhealthtraininginstitutes
AT jinwenluo fosteringinterdisciplinarycollaborationalongitudinalsocialnetworkanalysisofthenihmhealthtraininginstitutes
AT angelafpfammatter fosteringinterdisciplinarycollaborationalongitudinalsocialnetworkanalysisofthenihmhealthtraininginstitutes
AT vivekshetty fosteringinterdisciplinarycollaborationalongitudinalsocialnetworkanalysisofthenihmhealthtraininginstitutes
AT bonniespring fosteringinterdisciplinarycollaborationalongitudinalsocialnetworkanalysisofthenihmhealthtraininginstitutes