Impartial Peer Review
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 582-587.
Abstract
Motivated by a radically new peer review system that the National Science Foundation recently experimented with, we study peer review systems in which proposals are reviewed by PIs who have submitted proposals themselves. An (m, k)-selection mechanism asks each PI to review m proposals, and uses these reviews to select (at most) k proposals. We are interested in impartial mechanisms, which guarantee that the ratings given by a PI to others' proposals do not affect the likelihood of the PI's own proposal being selected. We design an impartial mechanism that selects a k-subset of proposals that is nearly as highly rated as the one selected by the non-impartial (abstract version of) the NSF pilot mechanism, even when the latter mechanism has the unfair advantage of eliciting honest reviews.
@inproceedings{ijcai2015p88,
title = {Impartial Peer Review},
author = {Kurokawa, David and Lev, Omer and Morgenstern, Jamie and Procaccia, Ariel D.},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {582--587},
year = {2015},
month = {7},
note = {Main Track},
url = {https://ijcai.org/proceedings/2015/88},
}
TY - CPAPER TI - Impartial Peer Review AU - Kurokawa, David AU - Lev, Omer AU - Morgenstern, Jamie AU - Procaccia, Ariel D. T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 582 EP - 587 UR - https://ijcai.org/proceedings/2015/88 ER -Copied
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