@inbook{f296e03125d34ff69bcbea8fbb2a0fb5,
title = "Building a Data-Driven Model of Peer Review: The Case of Science Foundation Ireland",
abstract = "Research has long questioned the validity and reliability of peer review, the process for selecting manuscripts for publication and research proposals for funding. For example, scholars have shown that reviewers do not interpret evaluation criteria in the same way [1] and produce inconsistent ratings [2], and that peer review is subject to gender, ethnicity, seniority, and reputation biases [8, 11].",
keywords = "Agent-based modeling, Peer review, Research funding",
author = "Thomas Feliciani and Pablo Lucas and Junwen Luo and Kalpana Shankar",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 15th Social Simulation Conference, SSC 2019 ; Conference date: 23-09-2019 Through 27-09-2019",
year = "2021",
doi = "10.1007/978-3-030-61503-1\_21",
language = "English",
isbn = "9783030615024",
series = "Springer Proceedings in Complexity",
publisher = "Springer Science and Business Media B.V.",
pages = "223--227",
editor = "Petra Ahrweiler and Martin Neumann",
booktitle = "Advances in Social Simulation - Proceedings of the 15th Social Simulation Conference, 2019",
address = "Netherlands",
}