Utilizing Group and Individual Level Factors to Evaluate Research Collaboration
Session Number: RTDE5
Track: Research, Technology & Development Evaluation
Session Type: Multipaper
Session Chair: Juan D Rogers [Georgia Tech]
Presenter 1: Liudmila K. Mikhailova [CRDF Global (former U.S. Civillian R&D Foundation)]
Presenter 2: Pamela Bishop [University of Tennessee]
Presentation 2 Additional Author: Ana Richters [The University of Tennessee]
Time: Nov 14, 2015 (09:45 AM - 10:30 AM)
Abstract 1 Title: Building the Lasting Foundation through International Research Collaboration and Partnership
Abstract 2 Title: Factors Influencing Productivity in Interdisciplinary Synthetic Team Science Groups
Presentation Abstract 2: A known observation of scientific productivity is that is tends to be unequally distributed, with relatively few researchers being responsible for the vast majority of publications. This is also the case for the National Institute for Mathematical and Biological Synthesis, and interdisciplinary research center where 50% of the 44 working research groups have produced the entirety of the working group publications for the center. In addition, only 35% of the working group participants are coauthors on these papers. A need exists, therefore, to evaluate the group and individual level factors that predict scientific productivity within these interdisciplinary research groups. This paper attempts to evaluate these factors using multilevel modeling methods where the traits of individual research group participants (e.g. gender, ethnicity, discipline area) are modeled within group-level factors (e.g. number of meetings, group size, group composition) as determinants of working group-related journal article production.
Audience Level: None
Utilizing group and individual level factors to evaluate research collaboration
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