Physics – Physics and Society
Scientific paper
2012-04-25
Physics
Physics and Society
Accepted for publication in Scientometrics. 41 pages, 12 figures, 9 tables
Scientific paper
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 Thomson Reuters Web of Knowledge subject categories as descriptive labels for astrobiology documents, assess individual researcher interdisciplinarity, and determine where collaboration 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 in particular, or other interdisciplinary research teams more broadly, to identify and facilitate collaboration opportunities.
Gazan Rich
Gowanlock Michael G.
No associations
LandOfFree
Assessing Researcher Interdisciplinarity: A Case Study of the University of Hawaii NASA Astrobiology Institute does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Assessing Researcher Interdisciplinarity: A Case Study of the University of Hawaii NASA Astrobiology Institute, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Assessing Researcher Interdisciplinarity: A Case Study of the University of Hawaii NASA Astrobiology Institute will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-137442