Skill UI

A comprehensive guide for researchers developing systems or algorithms, detailing the necessary level of evidence required for performance claims (e.g., bounds, real-world performance, learning guarantees). It emphasizes scientific rigor, statistical reporting (confidence intervals), assumption testing, and data provenance to ensure findings are robust and reproducible in academic settings.

This guide helps researchers structure rigorous, mechanism-driven theoretical arguments for top-tier academic journals. It teaches users how to move beyond mere correlation by establishing a clear causal logic, identifying the underlying mechanism, and integrating established strategic lenses (e.g., RBV, Dynamic Capabilities) to build testable hypotheses.

This comprehensive guide helps researchers determine if their academic research question aligns with the scope and criteria of top-tier strategic management journals (e.g., SMJ). It provides a multi-part fit test covering strategic DNA, unit of analysis (firm-level), theoretical stakes, and empirical identification challenges. It guides authors on sharpening their questions and choosing the correct specialized journal (SMJ, SEJ, GSJ).

This comprehensive preflight checklist guides authors preparing manuscripts for submission to Sociological Methods & Research (SMR) via ScholarOne. It covers critical modern academic requirements, including double-anonymization techniques, specific formatting rules (ASA style, abstract limits), data and code availability statements, and generative AI disclosure, ensuring submissions meet the latest journal standards.

This guide outlines the best practices for preparing system artifacts for academic evaluation, following the ACM Artifact Review and Badging scheme. It details how authors must ensure reproducibility, especially for tail latency and cost results, by providing scaled-down testbeds, comprehensive documentation, and clear provenance tracking to satisfy conference evaluators.

This comprehensive guide outlines best practices for achieving high levels of scientific reproducibility in systems papers, especially for cloud measurement studies. It teaches authors how to map every claim in their paper to verifiable evidence, detailing the entire testbed setup, reproducing tail latency and costs accurately, and maintaining consistency between reported numbers and artifacts.

This guide helps researchers determine the ideal venue for their cloud computing research paper. It outlines the architectural boundaries between pure systems (OSDI/SOSP), pure data management (SIGMOD/VLDB), and the systems-data intersection (SoCC). It provides crucial tests, such as the model-swap and re-label tests, and advises on necessary evidence maturity (measurement studies, experience papers) to ensure a high chance of acceptance.

A comprehensive audit tool for stress-testing the logical coherence of sociological theory manuscripts. This skill guides the user through checking every link in the theoretical spine (premises → mechanism → propositions → conclusion), ensuring that claims are warranted, identifying strongest rival explanations, and handling potential counter-cases. It strengthens the argument itself, independent of empirical data.

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.

This guide details the structured process for preparing and evaluating research artifacts for major academic conferences like SOSP. It covers badge targeting (Functional, Reusable), cooperative evaluation expectations, and best practices for packaging system-level artifacts, including defining tiers (runnable, provided-hardware, documented-only) and conducting 'kick-the-tires' smoke tests.

This guide helps researchers evaluate if their systems project meets the standards of top-tier conferences like SOSP. It details the critical 'SOSP shape test'—requiring an extractable Principle, a real Embodiment, and evidence at the claim's scale. It provides a routing table to recommend the most appropriate venue (e.g., OSDI, NSDI) based on the project's center of gravity.

This skill is designed to help researchers critically assess whether their project aligns with the scope of Social Psychology Quarterly (SPQ). It guides users to pressure-test the core contribution: the link between social structure, process, and the individual. It helps frame the research question, determine the appropriate tradition (e.g., identity theory, symbolic interaction), and decide whether the final output should be a full Article or a focused Note.