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Title: Investigating Academic Graph‐Based Factors behind Funding Success in National Institutes of Health
ABSTRACT: While major funding agencies are striving for diversity and fairness, the mechanisms behind funding success have yet to be fully elucidated. Existing studies reveal valuable evidences about the effect of the applicant's individual attributes, e.g., gender and age, on the funding success. However, the relationship between funding success and academic activities, e.g., collaborator's characteristics, remains underexplored. This work collects massive scholarly data from open academic graphs and public data about National Institutes of Health awards to investigate the effect of various academic graph‐based factors on the “K to R” success. Leveraging a heterogeneous graph model for predicting the “K to R” success, we regard the gain in the model performance of a factor as a proxy variable for the magnitude of its effect on the “K to R” success. Our preliminary results suggest that interest by peers in the applicant's research and the timing of the interest are strongly correlated with the outcome. Meanwhile, the applicant's social connections, e.g., their collaborators, can also contribute to the outcome.  more » « less
Award ID(s):
2122232
PAR ID:
10540178
Author(s) / Creator(s):
; ; ; ; ; ;
Editor(s):
Ruthven, Ian; O'Brien, Heather
Publisher / Repository:
John_Wiley_&_Sons,_Inc.
Date Published:
Journal Name:
Proceedings of the Association for Information Science and Technology
Edition / Version:
1
Volume:
60
Issue:
1
ISSN:
2373-9231
Page Range / eLocation ID:
137-141
Subject(s) / Keyword(s):
Research Funding National Institutes of Health Academic Graph-based Factor
Format(s):
Medium: X Other: pdf
Sponsoring Org:
National Science Foundation
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