Skill UI

A comprehensive project management guide for submitting interdisciplinary, responsible AI papers to major academic conferences like FAccT. It provides a detailed backward-planning timeline, covering milestones from initial abstract registration and literature review to revisions, camera-ready submission, and conference presentation, emphasizing ethical considerations and structured academic processes.

A comprehensive guide for authors targeting Nature Machine Intelligence. It outlines the high standard required for AI/ML research, emphasizing conceptual significance, real-world impact, interdisciplinary relevance, and rigorous ethical and methodological depth. Use this tool to assess fit and framework your submission for a Nature-family audience.

This skill provides a comprehensive framework for authors targeting top-tier AI conferences like NeurIPS. It guides researchers in refining their manuscript's narrative, ensuring the contribution meets the venue's standards for broad, high-novelty machine learning research. It covers topic fit, evidence bar requirements, structuring the argument, handling interdisciplinary claims, and navigating the specific submission cycle rules for maximizing acceptance chances.