BlindLedger

BlindLedger is a web app (with optional desktop plugin) that helps journals, conferences, and labs run double-blind peer review with auditable integrity. It creates a tamper-evident log of key events—submission received, reviewer invited, review submitted, decision issued—without revealing author/reviewer identities to unauthorized parties. Editors get a lightweight workflow: assign reviewers, track deadlines, and generate compliance reports for funders or oversight bodies. Reviewers submit structured feedback with checklists (methods, stats, ethics) plus free text, and the system flags missing elements. Authors can see a transparent timeline and anonymized decision rationale, reducing “black box” frustration. This is an AI + traditional app: AI assists with de-identification checks (spotting self-revealing phrases, metadata leaks) and review completeness prompts, but final decisions remain human. It’s realistic because it integrates via API with existing submission systems rather than replacing them.