A fair peer-review process is a key ingredient for running a successful academic event. Fairness is affected by many factors, such as the expertise of reviewers, the quality of review comments, the design of the review form, etc. However, the most important factor is the relationships between authors and reviewers. In this research, we explore design and implementation of a novel review management system that focuses on addressing the challenges of quality and diverse review committee formation, accurate and fair (COI-free) paper assignment to reviewers, reviewer performance assessment, etc in a data-driven manner. These issues have received scant attention despite its significance in upholding quality and fairness of an academic event.
The guest will judge better of a feast than the cook.
- Aristotle
- Sourav S Bhowmick, Katja Hose. Data-driven PC-chair-in-the-loop Formation of Program Committees: An EDBT 2023 Experience. SIGMOD Rec. 53(2), June 2024.
- Alexandra Meliou, Sourav S. Bhowmick, Karl Aberer, Divyakant Agrawal, Angela Bonifati, Vanessa Braganholo, Floris Geerts, Wolfgang Lehner, Divesh Srivastava. Peer-Reviewing Processes and Incentives: Data Management Community Survey Results. SIGMOD Rec. 52(4), December 2023.
- Sourav S Bhowmick. How Connected Are Our Conference Review Boards? SIGMOD Rec. 51(4), December 2022.
- Sourav S. Bhowmick.
The End of Manual Checking Era: It’s Time for Automating Conflicts Of Interest Management in Peer-Reviewed Venues. In ACM SIGMOD Blog, May 2021
- Siyuan Wu, Leong Hou U, Sourav S. Bhowmick, Wolfgang Gatterbauer.
PISTIS: A Conflict of Interest Declaration and Detection System for Peer Review Management. In ACM SIGMOD, 2018
- Siyuan Wu, Leong Hou U, Sourav S. Bhowmick, Wolfgang Gatterbauer.
Conflict of Interest Declaration and Detection System in Heterogeneous Networks. In ACM CIKM, 2017.
- CLOSET is world's first data-driven COI detection system that has been deployed in the real-world in several international conferences.
- PISTIS is one of the world's first platform for COI declaration and detection.