Human and AI Prompts for Scientific Paper Review
A practical system to review scientific papers with rigor, speed, and zero missed issues
Reviewing a scientific paper is a decision-critical task. Small oversights in claims, figures, methods, or structure can lead to incorrect acceptance, unfair rejection, or long-term damage to research quality.
This PDF provides a complete, execution-ready framework for reviewing scientific papers for journals and conferences. It combines human reviewer skills with operational AI prompts designed to be used directly during real review work, under time and information constraints.
What you will learn and use
A structured method to identify real contributions, novelty, and scope control
Step-by-step procedures to audit methods, reproducibility, and experimental validity
Concrete checklists to verify figures, captions, axes, units, and visual integrity
A full language, grammar, and scientific style inspection workflow
Decision rules to separate fatal flaws from fixable issues
A comprehensive checkbox-based review checklist covering every paper section
Ready-to-use AI prompts for triage, claim verification, statistics, ethics, and final review assembly
Who this is for
Journal and conference reviewers
PhD students and postdocs learning how to review properly
Editors and senior researchers seeking consistency and rigor
Authors who want to pre-review their own papers before submission
Format
Practical, checklist-driven, no filler
Designed for direct use during real reviews
This is not a guide about how reviewing should work in theory.
It is a working system for doing reviews correctly, efficiently, and defensibly.
