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International Journal for Uncertainty Quantification
インパクトファクター: 3.259 5年インパクトファクター: 2.547 SJR: 0.417 SNIP: 0.8 CiteScore™: 1.52

ISSN 印刷: 2152-5080
ISSN オンライン: 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, Beihang University, Beijing, China
Dongbin Xiu
Ohio Eminent Scholar Department of Mathematics The Ohio State University Columbus, Ohio 43210, USA

要約

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.