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Assessing Researcher Interdisciplinarity: A Case Study of the University of Hawaii NASA Astrobiology Institute
|Title:||Assessing Researcher Interdisciplinarity: A Case Study of the University of Hawaii NASA Astrobiology Institute|
|Date Issued:||01 Jan 2012|
|Abstract:||In this study, we combine bibliometric techniques with a machine learning algorithm, the sequential Information Bottleneck, to assess the interdisciplinarity of research produced by the University of Hawaii NASA Astrobiology Institute (UHNAI). In particular, we cluster abstract data to evaluate ISI Web of Knowledge subject categories as descriptive labels for astrobiology documents, and to assess individual researcher interdisciplinarity to determine where collabo- ration opportunities might occur. We find that the majority of the UHNAI team is engaged in interdisciplinary research, and suggest that our method could be applied to additional NASA Astrobiology Institute teams to identify and facilitate collaboration opportunities.|
|Rights:||CC0 1.0 Universal|
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