Eureka is an AI-driven tool designed to assist in the reviewer selection process. It utilizes natural language processing and machine learning to extract core concepts and themes from a manuscript’s title and abstract. The system then searches for comparable, previously published articles and reviews, extracting potential reviewers with extensive publication records in the relevant field.
Benefits & outcomes
- Streamlines the reviewer selection process.
- Enhances the quality of reviewer reports.
- Improves efficiency in the editorial workflow
Notes & quotes
Difan Lin, Project Manager of Eureka, stated:
“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.”
Publisher / company: MDPI
Date of case study: 23/09/2024
Source: https://blog.mdpi.com/2024/09/23/advancing-research-integrity/