Carnegie Mellon University was awarded a $1,199,904 project grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) to develop tools for detecting and mitigating fraud in peer review. Over a three year period from June 2022 to May 2025, the university will design a theoretical framework and algorithms to address coalition-based fraud where groups of authors and reviewers collude outside the review process. The researchers will build these into an open-source computational toolkit to help organizers of peer review detect and prevent such manipulation. In addition to advancing understanding of limiting collusions, the work will produce a publicly available tool to make peer review processes more robust to undesirable behaviors at large scale, in support of the NSF's mission to promote the progress of science.
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