AI in Peer Review: How to Review Research Papers Faster (Novelty Check + Meta Review) скачать в хорошем качестве

AI in Peer Review: How to Review Research Papers Faster (Novelty Check + Meta Review)

Artificial Intelligence is rapidly entering the academic publishing process but can it improve peer review? In this session, we explore how AI can assist reviewers, editors, and researchers in evaluating research papers more efficiently and systematically. You’ll learn: • Where peer review fits in the research lifecycle • The 5 core criteria of peer review (novelty, correctness, relevance, clarity, reproducibility) • Common pain points in traditional peer review • AI-powered literature retrieval across multiple databases • Re-ranking and relevance scoring of research papers • Automated novelty assessment • Multi-reviewer simulation (methods, impact, clarity) • Structured reviewer reports with scoring & confidence • Meta-review generation and revision prioritization • Ethical limits of AI in peer review This webinar is ideal for PhD students, Journal reviewers, Editors, Academic researchers, Research integrity professionals Important: AI is presented here as a decision-support tool not a replacement for human judgment in peer review. AI peer review, how to review a research paper, AI manuscript review, novelty, check research paper, meta review academic, journal peer review process, AI for journal editors, academic AI tools, literature search AI, research paper evaluation