Skill UI

A comprehensive guide for authors submitting new methods, tools, or technologies to Nature Methods. It details the journal's specific requirements, including the mandatory criteria for generalizability, rigorous benchmarking against state-of-the-art alternatives, and the required structure and house style for achieving publication success in life sciences.

This guide provides a structured methodology for academic writing, enabling researchers to move beyond stating a mere 'lack of research.' It teaches users how to rigorously pinpoint the theoretical gap—such as an unaddressed mechanism, an inexplicable anomaly, or an undefined boundary condition—that existing theories fail to explain. Essential for strengthening the theoretical depth and academic impact of scholarly papers.

This guide provides a comprehensive framework for authors responding to peer reviews in major security conferences. It details how to triage reviewers' comments, structure technical responses (pointing to evidence, not arguing), handle complex objections like adaptive attacks and ethics, and effectively participate in the interactive discussion phase to refine the paper.

This guide details the rigorous process of converting an accepted NDSS paper into the final open-access, camera-ready version. It covers mandatory steps such as fulfilling revision conditions, deliberately de-anonymizing the work (restoring vendor names, DOIs, and disclosure specifics), adding earned artifact badges, and completing a comprehensive production checklist to ensure publication quality for the Internet Society proceedings.

A rigorous guide for drafting academic papers for top-tier security conferences like NDSS. It teaches authors how to structure complex security arguments, define capability-bounded adversaries, quantify claims with evidence, weave ethical considerations into the narrative, and adhere to strict page limits to maximize acceptance chances.

This guide assists researchers in transforming bloated or loosely structured academic manuscripts into the terse, plain IMRAD format required by top-tier journals like NEJM. It focuses on maximizing clarity, enforcing claim-first results based on statistical evidence, curbing over-stated clinical implications, and ensuring the discussion explicitly covers limitations and necessary scope restriction.

A comprehensive guide on structuring research papers for top-tier AI conferences (like NeurIPS). It teaches authors how to strategically allocate contributions, proofs, data details, and code artifacts across the main body, text appendices, and separate ZIP files. Use this skill to ensure reviewers can easily identify the core contribution and assess the work's validity without missing crucial supporting details.

A comprehensive skill for assessing whether a neuroscience manuscript meets the exacting standards of a top-tier journal. It guides authors through evaluating the conceptual advance, mandatory multi-level integration (molecular to behavioral), the necessity of causal intervention, and adhering to strict structural and methodological requirements (e.g., STAR Methods, data availability). Ideal for researchers aiming to refine their work before submission.

This comprehensive guide details the strategy and structure required for authors responding to major or minor revisions (R&R) of academic manuscripts. It teaches how to systematically address multiple, often conflicting, interdisciplinary reviewer comments, focusing on point-by-point responses, conflict reconciliation, and enhancing the overall manuscript argument to maximize acceptance chances.

A detailed guide simulating the rigorous, double-anonymized peer review process for New Media & Society manuscripts. It helps authors preemptively identify potential weaknesses—from theoretical positioning, methodological rigor, to ethical concerns—against the standards of interdisciplinary academic panels before actual submission.

These guidelines provide best practices for creating self-contained, rigorous, and ethically sound tables, figures, and exhibits for academic manuscripts, particularly within the New Media & Society domain. It covers various exhibit types, including quote-to-claim tables and network diagrams, emphasizing anonymization, showing uncertainty, and adhering to strict word count limits.

This guide provides a framework for assessing whether a research topic is suitable for interdisciplinary journals focusing on digital media and society (like NM&S). It details a four-part fit test, ensuring the research has social stakes, a portable concept, interdisciplinary reach, and enduring relevance beyond the news cycle. It helps researchers reframe narrow case studies into broadly applicable scholarly arguments.