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International Journal for Uncertainty Quantification

Impact factor: 1.000

ISSN Print: 2152-5080
ISSN Online: 2152-5099

Open Access

International Journal for Uncertainty Quantification

DOI: 10.1615/Int.J.UncertaintyQuantification.2016016198
pages 167-173

UNCERTAINTY QUANTIFICATION OF SCIENTIFIC PROPOSAL EVALUATIONS

Xiaofeng Shi
School of Mathematics and System Science, Beihang University, Beijing, China
Peng Wang
School of Mathematics and Systems Science & International Research Institute for Multidisciplinary Science, Beihang University, Beijing 100191, China
Dongbin Xiu
Mathematics and Scientific Computing and Imaging (SCI) Institute, The University of Utah, Utah, USA

ABSTRACT

Peer review is an integral part of safeguarding the fairness of scientific proposal evaluations, but it is also subject to uncertainty, such as reviewer's bias and potential discussion under the table, termed "DaZhaoHu" in Chinese. In this paper, we present a mathematical framework to model the peer review process. Through sensitivity analysis, we numerically demonstrate that the number of proposals has greater impact on overall fairness.