JCDL 2021关于同行评审中偏见和不公平的系统挑战和计算解决方案的教程

Nihar B. Shah
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引用次数: 1

摘要

同行评议是科学研究的支柱,决定了科学数字图书馆的构成。同行评议中的任何系统性问题——比如偏见或欺诈——都可能系统性地影响最终的科学数字图书馆以及对该图书馆的任何分析。它们还影响到通过同行评议获得的数十亿美元的研究经费,以及研究人员的整个职业生涯。本教程将通过有见地的实验讨论同行评议中的各种系统问题,提出一些解决这些问题的计算解决方案,以及一些重要的开放问题。关于本教程主题的详细描述以及参考资料的完整列表可在[1]中获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
JCDL 2021 Tutorial on Systemic Challenges and Computational Solutions on Bias and Unfairness in Peer Review
Peer review is the backbone of scientific research and determines the composition of scientific digital libraries. Any systemic issues in peer review - such as biases or fraud - can systematically affect the resulting scientific digital library as well as any analyses on that library. They also affect billions of dollars in research grants made via peer review as well as entire careers of researchers. The tutorial will discuss various systemic issues in peer review via insightful experiments, several computational solutions proposed to address these issues, and a number of important open problems. A detailed writeup on the topics of this tutorial as well as a complete list of references is available in [1].
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