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DEX.1 (2026-01)

NEW FEATURES

AI-Powered Reviewer Finder

The Reviewer Finder is now live on JAMS. This new module leverages an AI model based on article similarity to propose matching reviewers for submitted manuscripts.

Key Functionality:

  • Accessible via link in the peer review section of the manuscript processing page

  • Opens in new tab with AI-powered reviewer recommendations

  • Users can filter and refine proposed matches

  • Recommendations based on recent research activity (past 5 years)

  • Manual integration with manuscript processing (copy email address to add reviewer)

Knowledge Base
https://support.jams.pub/home/get-recommendations-from-reviewer-finder

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Notes:

  • Premium feature available to all current clients regardless of pricing tier

  • Full integration (one-click add reviewer) planned for future release

ENHANCEMENTS

Manuscript Processing Workflow Improvements

Part of a comprehensive redesign of the manuscript processing flow, initial UX improvements have been implemented to create a smoother, more intuitive user experience.

Key Changes:

  • Seamless page transitions: Users are taken to the next workflow step without page reload in multiple application points, eliminating unnecessary scrolling

  • Enhanced feedback: More confirmation messages displayed after user actions to provide clear feedback

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Notes:

  • First phase of broader manuscript processing redesign

  • Additional UX improvements planned for future releases

REFACTORING

Code Base Modernization

Major refactoring effort to migrate to a more recent and stable framework version.

Technical Details:

  • Upgrade to SYMFONY version 5.4

  • Improved overall system stability

  • Better foundation for future feature development

  • Enhanced performance and security

Database Structure Optimization

Modifications to author and affiliation data structure in JAMS database.

Technical Details:

  • Restructured data model for improved efficiency

  • Optimized to support upcoming reporting module requirements

  • Enhanced data integrity and query performance

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