Findings and Implications from Data Mining the IMC Review Process

TitleFindings and Implications from Data Mining the IMC Review Process
Publication TypeJournal Article
Year of Publication2013
AuthorsBeverly, R., & Allman M.
Published inACM SIGCOMM Computer Communication Review
Other Numbers3410

The computer science research paper review process is largely human and time-intensive. More worrisome, review processes are frequently questioned, and often non-transparent. This work advocates applying computer science methods and tools to the computer science review process. As an initial exploration, we data mine the submissions, bids, reviews, and decisions from a recent top-tier computer networking conference. We empirically test several common hypotheses, including the existence of readability, citation, call-for-paper adherence, and topical bias. From our findings, we hypothesize review process methods to improve fairness, efficiency, and transparency.

Bibliographic Notes

ACM SIGCOMM Computer Communication Review, Vol. 3, No. 1, pp. 23-29

Abbreviated Authors

R. Beverly and M. Allman

ICSI Research Group

Networking and Security

ICSI Publication Type

Article in journal or magazine