Eliza is an AI-powered assistant designed to enhance the peer review process for academic journals and proceedings. It aids peer reviewers by providing content analysis, bibliographical insights, and phrasing suggestions. For editors, Eliza offers executive summaries of manuscripts and reviewer comments, along with the capability to query manuscripts directly, thereby streamlining decision-making while upholding the rigor of peer review.
https://www.youtube.com/watch?v=pEoFhas_ZdQ
Benefits & outcomes
- Enhances the quality and comprehensiveness of peer reviews.
- Accelerates editorial decision-making processes.
- Maintains the integrity and rigor of the peer review system.
Notes & quotes
“Our goal with Eliza is to boost both the efficiency and quality of the peer review process by supporting the human experts at the center of it.” — Zeger Karssen, Founder & CEO
“We designed Eliza to act as a powerful assistant to peer reviewers and editors, helping them deliver more insightful evaluations, faster.” — Koen Dercksen, CTO
Eliza is currently available on a pilot basis to journals and publishers.
A demonstration was scheduled for September 25 during Peer Review Week.
Publisher / company: World Brain Scholar
Date of case study: 23/09/2024
Source: https://www.world-brain-scholar.eu/