KDD 2021 Tutorial on Systemic Challenges and Solutions on Bias and Unfairness in Peer Review

Nihar B. Shah
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引用次数: 5

Abstract

Introduction. Peer review is a cornerstone of academic practice [1]. The peer review process is highly regarded by the vast majority of researchers and considered by most to be essential to the communication of scholarly research [2–4]. However, there is also an overwhelming desire for improvement [2, 4, 5]. Problems in peer review have consequences much beyond the outcome for a specific paper or grant, particularly due to the widespread prevalence of the Matthew effect (“rich get richer”) in academia [6]. As noted by [7] “an incompetent review may lead to the rejection of the submitted paper, or of the grant application, and the ultimate failure of the career of the author.” (See also [8, 9].) The importance of peer review and the urgent need for improvements, behooves research on principled approaches towards addressing problems in peer review, particularly at scale. In this tutorial, we discuss a number of key challenges in peer review, outline several directions of research on this topic, and also highlight important open problems that we envisage to be exciting to the community. This document summarizes the contents of the tutorial and provides relevant references.
关于同行评议中偏见和不公平的系统性挑战和解决方案的KDD 2021教程
介绍。同行评议是学术实践的基石[1]。同行评议过程受到绝大多数研究人员的高度重视,并且被大多数人认为对学术研究的交流至关重要[2-4]。然而,也有一种强烈的改进愿望[2,4,5]。同行评议中的问题所产生的后果远远超出了特定论文或拨款的结果,特别是由于学术界普遍存在的马太效应(“富人越富”)[6]。正如[7]所指出的那样,“不合格的审稿可能导致提交的论文被拒,或拨款申请被拒,并最终导致作者事业的失败。”(参见[8,9]。)鉴于同行评议的重要性和改进的迫切需要,有必要研究解决同行评议问题的原则方法,特别是在规模上。在本教程中,我们讨论了同行评审中的一些关键挑战,概述了该主题的几个研究方向,并强调了我们认为对社区来说令人兴奋的重要开放问题。本文档总结了本教程的内容,并提供了相关参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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