Eureka is MDPI’s reviewer recommender. It uses natural language processing and machine learning to extract the core concepts and themes from a manuscript’s title and abstract, searches for comparable previously published articles and reviews, and extracts potential reviewers with extensive publication records in the field from MDPI’s internal databases, which it shows in a dashboard. MDPI described it in a blog post for Peer Review Week 2024.
Benefits & outcomes
- MDPI says Eureka helps authors get suitable reviewers, and helps reviewers receive requests for articles within their expertise.
Notes & quotes
- “We want the tool to be able to increase the matchmaking ability, streamline the reviewer finding part of the editorial process, and be able to send more targeted reviewer requests.” Difan Lin, Project Manager of Eureka.
Publisher / company: MDPI
Date of case study: Reported in 2024
Status: Not stated
Built by: Publisher or platform
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