Research Collaborations in Multidisciplinary Institutions: a Case Study of iSchools

Although closely related, multidisciplinarity and interdisciplinarity are different. The former indicates the co-existence of multiple disciplines while the latter is more about the integration among various areas. As collaboration between researchers from different areas is one of the major approaches for interdisciplinarity, this research investigated whether higher levels of multidisciplinarity in academic institutions are related to more collaborations, especially more interdisciplinary collaborations, among its faculty members. Using U.S. iSchools as a case study, we applied social network analysis and text mining techniques to faculty members' educational background and publication data, and proposed metrics for multidisciplinarity and collaboration interdisciplinarity. Our analysis results revealed that the multidisciplinarity of an iSchool is actually negatively correlated with the frequency and interdisciplinarity of research collaborations among its faculty members. This finding suggests that having a multidisciplinary environment alone is not sufficient to promote collaborations, nor interdisciplinary collaborations.

[1]  Ke Zhang,et al.  Understanding spatial homophily: the case of peer influence and social selection , 2014, WWW.

[2]  John Yen,et al.  Assortativity Patterns in Multi-dimensional Inter-organizational Networks: A Case Study of the Humanitarian Relief Sector , 2010, SBP.

[3]  Leah G. Nichols A topic model approach to measuring interdisciplinarity at the National Science Foundation , 2014, Scientometrics.

[4]  S. Jackson,et al.  Recent Research on Team and Organizational Diversity: SWOT Analysis and Implications , 2003 .

[5]  D. Harrison,et al.  Time, Teams, and Task Performance: Changing Effects of Surface- and Deep-Level Diversity on Group Functioning , 2002 .

[6]  Jimi Adams,et al.  Mapping Interdisciplinary Fields: Efficiencies, Gaps and Redundancies in HIV/AIDS Research , 2014, PloS one.

[7]  Steffen Staab,et al.  ATT: analyzing temporal dynamics of topics and authors in social media , 2011, WebSci '11.

[8]  Rich Gazan,et al.  Assessing researcher interdisciplinarity: a case study of the University of Hawaii NASA Astrobiology Institute , 2012, Scientometrics.

[9]  M E J Newman Assortative mixing in networks. , 2002, Physical review letters.

[10]  María Bordons,et al.  Measuring interdisciplinary collaboration within a university: The effects of the multidisciplinary research programme , 1999, Scientometrics.

[11]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[12]  Adam Worrall,et al.  Composition of scientific teams and publication productivity at a national science lab , 2011, J. Assoc. Inf. Sci. Technol..

[13]  Jasy Suet Yan Liew,et al.  The intellectual characteristics of the information field: Heritage and substance , 2013, J. Assoc. Inf. Sci. Technol..

[14]  Judith Giordan,et al.  Impact of Transformative Interdisciplinary Research and Graduate Education on Academic Institutions. Workshop Report. , 2008 .

[15]  Kevin W. Boyack,et al.  Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature , 2011, J. Informetrics.

[16]  Loet Leydesdorff,et al.  Betweenness centrality as an indicator of the interdisciplinarity of scientific journals , 2007, J. Assoc. Inf. Sci. Technol..

[17]  Jonathon N. Cummings,et al.  Collaborative Research Across Disciplinary and Organizational Boundaries , 2005 .

[18]  Lili Wang,et al.  Interdisciplinarity of nano research fields: a keyword mining approach , 2012, Scientometrics.

[19]  Ismael Rafols,et al.  Is science becoming more interdisciplinary? Measuring and mapping six research fields over time , 2009, Scientometrics.

[20]  Ismael Rafols,et al.  Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience , 2009, Scientometrics.

[21]  Nieves L. Diaz-Diaz,et al.  How Diversity Contributes to Academic Research Teams Performance , 2017 .

[22]  G. Bowker,et al.  Human capital heterogeneity, collaborative relationships, and publication patterns in a multidisciplinary scientific alliance: a comparative case study of two scientific teams , 2004 .

[23]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[24]  E. Salas,et al.  Facilitating Innovation in Diverse Science Teams Through Integrative Capacity , 2012 .

[25]  Beth G. Chung-Herrera,et al.  Diversity in organizations: Where are we now and where are we going? , 2009 .

[26]  Evgueni A. Haroutunian,et al.  Information Theory and Statistics , 2011, International Encyclopedia of Statistical Science.

[27]  A. Homan,et al.  Diversity mindsets and the performance of diverse teams , 2013 .

[28]  Castl Survey The Carnegie Foundation for the Advancement of Teaching , 1910, Nature.