Uncertainty quantification of scientific proposal evaluations

Xiaofeng Shi; Peng Wang; Dongbin Xiu

doi:10.1615/Int.J.UncertaintyQuantification.2016016198

Uncertainty quantification of scientific proposal evaluations

Xiaofeng Shi
, Peng Wang^*
, Dongbin Xiu

^*Corresponding author for this work

School of Integrated Circuit Science and Engineering

Beihang University
University of Utah

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	167-173
Number of pages	7
Journal	International Journal for Uncertainty Quantification
Volume	6
Issue number	2
DOIs	https://doi.org/10.1615/Int.J.UncertaintyQuantification.2016016198
State	Published - 2016

Keywords

Peer review
Scientific proposal evaluation
Uncertainty quantification
“DaZhaoHu”

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10.1615/Int.J.UncertaintyQuantification.2016016198

Cite this

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title = "Uncertainty quantification of scientific proposal evaluations",

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{\textquoteright}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.",

keywords = "Peer review, Scientific proposal evaluation, Uncertainty quantification, “DaZhaoHu”",

author = "Xiaofeng Shi and Peng Wang and Dongbin Xiu",

note = "Publisher Copyright: {\textcopyright} 2016 by Begell House, Inc.",

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doi = "10.1615/Int.J.UncertaintyQuantification.2016016198",

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AU - Xiu, Dongbin

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AB - 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.

KW - Peer review

KW - Scientific proposal evaluation

KW - Uncertainty quantification

KW - “DaZhaoHu”

UR - https://www.scopus.com/pages/publications/84994844565

U2 - 10.1615/Int.J.UncertaintyQuantification.2016016198

DO - 10.1615/Int.J.UncertaintyQuantification.2016016198

M3 - 文章

AN - SCOPUS:84994844565

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JF - International Journal for Uncertainty Quantification

IS - 2

ER -

Uncertainty quantification of scientific proposal evaluations

Abstract

Keywords

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