Glossary
Peer review
Peer review is the evaluation of conference submissions by qualified reviewers — peers in the field — against shared criteria, usually a rubric, so a program is selected on merit rather than on whoever shouts loudest.
What peer review is
Peer review is how an event decides which submissions make the program by handing them to qualified reviewers — peers in the relevant field — who score each one against agreed criteria. It is the backbone of academic conferences, where a committee must choose a few dozen papers from many hundreds and be able to defend every call. The principle travels well beyond academia: any time you have more proposals than slots, peer review replaces gut feel and favoritism with a structured, comparable read from people who know the subject. Reviewers do not just say yes or no; they rate a submission on dimensions like relevance, originality, and clarity, and those scores roll up into a ranking the organizers actually use to build the agenda.
How peer review works
A typical round runs in four moves: assign, evaluate, score, decide. First you assign submissions to reviewers — often spreading each proposal across two or three readers, and steering papers toward reviewers whose expertise matches the topic. Reviewers then read against a rubric: a fixed set of criteria, each with a scale and ideally a short note, so that two people grading the same abstract are answering the same questions. Scores aggregate, the committee sorts and discusses the borderline cases, and a status pipeline moves each proposal from Submitted toward Accepted or Declined. Many programs run more than one review round — a quick screening pass to cut the clearly-out, then a deeper read of the survivors. In AgendaForge, those building blocks exist as reviewer assignment, rubrics, review rounds, and scoring, sitting in the same place as the call for papers that collected the work, so a proposal never has to be re-keyed into a separate review tool.
Single-blind, double-blind, and why the rubric matters
The fairness of peer review hinges on two design choices. The first is blinding. In single-blind review, reviewers see who submitted but authors don't see who reviewed them; in double-blind, identities are hidden on both sides so reputation and affiliation can't tilt the score. Double-blind is the gold standard for fairness but takes discipline — submissions have to be written and stored so they don't leak the author's identity. The second choice is the rubric itself. A vague 'rate this 1 to 5' invites every reviewer to score on a different private scale; a rubric that names each criterion and what a high mark means pulls reviewers toward the same standard and makes the final ranking something you can explain. Honest caveat: AgendaForge gives you the assignment, rubric, rounds, and scoring tools to run this well, but it does not enforce a particular blinding policy or referee disagreements for you — the editorial judgment, and the choice of how blind to go, stays with your committee.
Key points
- Peer review evaluates submissions by qualified reviewers against shared criteria, not by gut feel.
- A rubric gives every reviewer the same questions, so scores are comparable and the ranking is defensible.
- Single-blind hides reviewers from authors; double-blind hides both sides to reduce bias.
- Reviewer assignment, rubrics, review rounds, and scoring are the core moving parts of a review process.
- AgendaForge keeps review in the same place as the call for papers, so proposals are never re-keyed.
See how AgendaForge handles this in practice:
Abstract & peer review →Common questions
Q.01 What is the difference between single-blind and double-blind peer review?
Q.02 Why use a rubric for peer review instead of a single score?
Related terms
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