Field notes for the
modern editorial team
Writing, case studies, and practice guides from publishers, funders, and editors-in-chief working with semantic AI in production peer review.
Latest from the blog
Peer Review Software: What Journal Editors Should Look for When Choosing a Solution
A journal’s review process can look perfectly manageable until submission volume rises, reviewer invitations go unanswered, or editors start tracking decisions across spreadsheets, inboxes, and…
Reviewer Management Software: How to Improve the Peer Review Workflow
Peer review slows down when editors spend too much time finding suitable experts, checking past invitations, following up on responses, and rebuilding reviewer lists for…
How AI Reviewer Matching Works: From Manuscript Concepts to Expert Recommendations
Choosing peer reviewers is a judgment task, but finding qualified candidates is often a search task. AI reviewer matching changes that search by analyzing what…
Why Peer Reviewer Matching Is Harder for Interdisciplinary Research?
Research is no longer confined to neat disciplinary boundaries. A single manuscript may combine machine learning, molecular biology, public health, and statistics. Yet many journals…
Why Reviewer Fatigue Is a Challenge in Peer Reviewer Selection for Journals?
Peer review has long been the backbone of scholarly publishing. When carried out properly, it establishes the credibility, originality, and authoritativeness of a manuscript submitted…
5 Reasons Why It Is Becoming Harder to Find Peer Reviewers for Manuscripts
Every journal depends on a strong peer review process. Yet one task continues to frustrate editorial teams more than most: trying to find peer reviewers for manuscripts within a…