TY - GEN
T1 - Building a Data-Driven Model of Peer Review
T2 - 15th Social Simulation Conference, SSC 2019
AU - Feliciani, Thomas
AU - Lucas, Pablo
AU - Luo, Junwen
AU - Shankar, Kalpana
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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].
AB - 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].
KW - Agent-based modeling
KW - Peer review
KW - Research funding
UR - https://www.scopus.com/pages/publications/85106440846
U2 - 10.1007/978-3-030-61503-1_21
DO - 10.1007/978-3-030-61503-1_21
M3 - Conference proceeding
AN - SCOPUS:85106440846
SN - 9783030615024
T3 - Springer Proceedings in Complexity
SP - 223
EP - 227
BT - Advances in Social Simulation - Proceedings of the 15th Social Simulation Conference, 2019
A2 - Ahrweiler, Petra
A2 - Neumann, Martin
PB - Springer Science and Business Media B.V.
Y2 - 23 September 2019 through 27 September 2019
ER -