Skill UI

This skill guides authors on strategically positioning data mining research for the SIAM International Conference on Data Mining (SDM). It helps adjust manuscript framing, emphasizing mathematical rigor, statistical depth, and algorithmic contribution suitable for top Computer Science venues. Use it for venue selection, understanding reviewer expectations, and structuring evidence to meet the high standards of SIAM-style research.

This guide outlines best practices for organizing technical conference papers, specifically tailored for venues like ACM SIGCOMM. It details how to separate core arguments (Body), supporting data (Appendices), and citations (References), ensuring the main paper remains self-contained and persuasive to reviewers. Learn how to manage content load, handle extended proofs, and adhere to strict page limits without losing critical information.

A comprehensive guide detailing how to manage the division of content between the core 7-page paper body and the supplemental materials package for SIGGRAPH submissions. It emphasizes treating the results video as primary evidence, providing best practices for video creation, comparison galleries, and organizing additional technical evidence (code, data, proofs).

A comprehensive guide for packaging and submitting artifacts for Information Retrieval (IR) conferences (like SIGIR). It details the strict requirements for reproducibility, including mandatory components like TREC-format run files, qrels, and index recipes. The process covers repository structure, anonymization for review, handling data provenance, and ensuring that results can be audited by any reviewer using standard community tooling.

A comprehensive guide for researchers preparing their academic artifacts (code, data, results) for the SIGMOD Availability & Reproducibility Initiative (ARI). This document details the criteria for achieving reproducibility badges (Available, Evaluated, Results Reproduced), focusing on coverage, ease of reproduction, flexibility, and portability. It provides best practices for structuring artifact repositories and ensuring hardware honesty for verifiable research claims.

A comprehensive guide for authors submitting to top-tier database conferences (like SIGMOD) on how to position their research. It covers deep-history diligence, managing concurrent work, and structuring the related-work section using contrast-form writing to establish clear novelty claims against multiple literature lines, including industrial systems and theoretical boundaries.

This comprehensive guide outlines best practices for creating and submitting supplementary materials for top-tier academic conferences. It addresses the critical challenges of maintaining strict anonymity, adhering to page limits, and structuring extended proofs, code links, and datasets across multi-round, double-anonymous review cycles.

A comprehensive guide for structuring and refining high-quality database systems research papers for top-tier conferences like SIGMOD. It covers essential components such as establishing a clear page-one contract, integrating running examples, scoping measured system claims, adopting third-person voice, and adhering to the 12-page ACM template structure for maximum technical impact.

A comprehensive guide for authors submitting technical papers to top-tier conferences, detailing how to effectively partition content between the main paper body and supplementary artifacts. It emphasizes the critical rule that all decision-making evidence (e.g., headline results, key performance metrics) must reside within the limited page budget of the main submission, ensuring the work is judgeable even without accessing raw data.

This guide provides deep insights into the requirements for publishing in top-tier sociological journals. It emphasizes shifting the focus from mere econometric policy evaluation or variable listing to profound sociological problem consciousness and theoretical dialogue. It guides authors on structuring articles that engage with core social mechanisms, whether using large-scale quantitative datasets or rich qualitative ethnographic material.

This guide provides best practices for authors submitting to top-tier technical conferences. It clarifies the critical distinction between core, review-essential arguments (which must stand alone in the main paper) and supporting evidence (such as formal proofs, extra data analyses, or methodological details) suitable for an optional supplementary document. It also covers anonymity best practices and distinguishing between different submission types.

This guide provides rigorous guidelines for integrating various forms of empirical evidence—including quantitative data, qualitative case studies, and historical comparisons—into advanced social science manuscripts. It emphasizes that evidence must actively support or test the core proposition, requiring authors to translate raw findings into conceptual insights and mechanisms, rather than simply presenting methods or data.