@article{aff53637e783439eb7974f17b833139c,
title = "Do synthesis centers synthesize? A semantic analysis of topical diversity in research",
abstract = "Synthesis centers are a form of scientific organization that catalyzes and supports research that integrates diverse theories, methods and data across spatial or temporal scales to increase the generality, parsimony, applicability, or empirical soundness of scientific explanations. Synthesis working groups are a distinctive form of scientific collaboration that produce consequential, high-impact publications. But no one has asked if synthesis working groups synthesize: are their publications substantially more diverse than others, and if so, in what ways and with what effect? We investigate these questions by using Latent Dirichlet Analysis to compare the topical diversity of papers published by synthesis center collaborations with that of papers in a reference corpus. Topical diversity was operationalized and measured in several ways, both to reflect aggregate diversity and to emphasize particular aspects of diversity (such as variety, evenness, and balance). Synthesis center publications have greater topical variety and evenness, but less disparity, than do papers in the reference corpus. The influence of synthesis center origins on aspects of diversity is only partly mediated by the size and heterogeneity of collaborations: when taking into account the numbers of authors, distinct institutions, and references, synthesis center origins retain a significant direct effect on diversity measures. Controlling for the size and heterogeneity of collaborative groups, synthesis center origins and diversity measures significantly influence the visibility of publications, as indicated by citation measures. We conclude by suggesting social processes within collaborations that might account for the observed effects, by inviting further exploration of what this novel textual analysis approach might reveal about interdisciplinary research, and by offering some practical implications of our results.",
keywords = "Synthesis, Diversity, Innovation, Interdisciplinary Research, Creativity, Semantic Analysis, Scientific Collaboration, INTERDISCIPLINARY RESEARCH, RESEARCH COLLABORATION, DISCIPLINARY, IMPACT, PRODUCTIVITY, VISIBILITY, TENSIONS, SCIENCE",
author = "Hackett, {Edward J.} and Erin Leahey and Parker, {John N.} and Ismael Rafols and Hampton, {Stephanie E.} and Ugo Corte and Diego Chavarro and Drake, {John M.} and Bart Penders and Laura Sheble and Niki Vermeulen and Vision, {Todd J.}",
note = "Funding Information: Synthesis centers, perhaps the most visible and potentially effective of such integrative organizations, combine intensive, temporary, co-located collaboration with asynchronous, networked collaboration to achieve epistemic integration ( Hampton and Parker, 2011 ). Beginning with the National Center for Ecological Analysis and Synthesis in 1995, the US National Science Foundation (NSF) has invested in a series of synthesis centers, culminating in the Socio-Ecological Synthesis Center (SESync), the latest and best funded of them. 3 3 With their prominence, scale, and apparent success, synthesis centers have been strategic sites for several studies of the process and outcomes of their distinctive form of interdisciplinary collaboration ( Hackett et al., 2008 ; Rhoten and Parker 2003; Hackett and Parker, 2016 ), but no study yet has asked, Do synthesis centers synthesize? That is, if such centers integrate diverse concepts, theories, tools, techniques and data, then the publications of synthesis-center collaborations should be more diverse and, in consequence, more visible than other publications. We address these questions through semantic analysis of the text (e.g., titles, abstracts, and keywords) of published journal articles to compare the topical diversity of publications originating in synthesis centers with publications in a reference corpus of scientific literature. 4 4 Funding Information: We are deeply grateful to Stacy Rebich Hespanha for her expert assistance with the LDA and dataset preparation. This work was supported by NSF grant SBE1242749 to Ed Hackett and John Parker, and group meetings were graciously hosted and travel paid by NCEAS (NSF grant EF0553768 ) and NESCent (NSF grant EF0905606). Open Access generously provided by a grant from the Wellcome Trust to Niki Vermeulen (Wellcome Trust #095820/b/11/z). Jim Reichman, director of NCEAS for many years, provided the invaluable encouragement, friendship, and support that made it possible to do this research. Publisher Copyright: {\textcopyright} 2020 The Authors",
year = "2021",
month = jan,
doi = "10.1016/j.respol.2020.104069",
language = "English",
volume = "50",
journal = "Research Policy",
issn = "0048-7333",
publisher = "Elsevier B.V.",
number = "1",
}