Skill UI

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 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 preparing methodological papers for submission to SMR. It outlines strict standards for creating a usable, reproducible package, including structured code, master scripts with fixed seeds, and formal data/code availability statements, ensuring the method can be run by others.

This guide details the rigorous academic review process for ACM Symposium on Cloud Computing (SoCC) submissions. It explains the dual-anonymous, two-round review structure, the importance of incorporating both systems performance and data measurement rigor (including tail latency and cost), and how the rebuttal period functions. Essential reading for authors aiming to publish in top-tier cloud computing venues.

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 researchers with a critical framework for determining if their work on algorithms, data structures, and discrete mathematics is suitable for SODA (ACM-SIAM Symposium on Discrete Algorithms). It outlines a rigorous three-question fit test, offers a routing map to comparable specialized venues (like STOC or FOCS), and clarifies the specific academic pattern required for a submission to be considered novel and impactful to an algorithms expert.

A comprehensive guide for executing and reporting complex social psychological analyses required for expert peer review. This skill covers norms for reporting uncertainty, assessing measurement quality, ensuring robustness checks, selecting appropriate statistical inference (e.g., multilevel models, clustering), and linking statistical findings back to the theoretical structure. It emphasizes methodological rigor and reproducibility.

This tool acts as an orchestrator for Social Psychology Quarterly (SPQ) submissions, guiding authors through the entire manuscript lifecycle. It routes the user based on the research stage, the sociological tradition (e.g., symbolic interaction, social structure), and the article type (Article vs. Note). Its core function is ensuring the paper maintains the critical link between the individual and society, directing the user to the appropriate specialized skill for design, theory, data, and writing.

A comprehensive guide for authors submitting to SCI journals, detailing best practices for making research code and data available. It addresses how to proactively provide reproducible materials, structured documentation, and honest availability statements, even when formal 'Artifact Evaluation' badges are not mandatory. It helps authors improve the robustness and impact of their scientific findings.

This comprehensive guide details the professional process for authors responding to external peer review feedback and preparing a revised manuscript. It teaches how to structure a detailed, point-by-point response, effectively address critiques using data and evidence, differentiate between accepted, clarified, and retained points, and maintain the utmost academic etiquette during the revision cycle.

This guide clarifies the role of computation in theoretical computer science submissions, particularly for venues that prioritize theorems over empirical data. It distinguishes between legitimate forms of evidence—such as certified proof steps, constructive object discoveries, and illustrative examples—and inappropriate performance benchmarking. It helps researchers structure their work to align with theorem-based research, ensuring computational elements enhance the core theoretical contribution.

This guide details the structured process for drafting a comprehensive response and rebuttal letter after a The Accounting Review (TAR) revise-and-resubmit cycle. It covers how to address point-by-point reviewer comments, reconcile conflicting demands, and address key methodological concerns like identification, contribution, and data authenticity, ensuring the revised submission is professional and robust.