Skill UI

A comprehensive strategic guide for authors targeting the IEEE Symposium on Security and Privacy (S&P). This skill helps evaluate if a computer science manuscript is a proper fit for the venue by covering rigorous threat modeling, ethical considerations, evidence requirements, and how to strategically frame the contribution. Use this when determining conference submission strategy or refining security-focused academic research.

This skill guides authors on positioning their computer science manuscripts for the International Conference on Computer Aided Verification (CAV). It provides a comprehensive framework for assessing conference fit, framing the contribution, strengthening evidence, and navigating the specific requirements (like formal correctness and tool benchmarks) of top-tier formal verification venues, ensuring submissions meet community expectations.

This framework guides authors on positioning their Information Systems (IS) research manuscripts by joining existing, ongoing academic conversations rather than simply cataloging gaps. It emphasizes the necessity of demonstrating an intradisciplinary move by bridging multiple theoretical silos (e.g., economic, behavioral, design-science) and engaging core IS scholarship to maximize academic impact in top-tier journals.

A guide for authors submitting to theoretical computer science venues (ITCS). It strictly defines what constitutes valid evidence for a mathematical claim, emphasizing that complete proofs are paramount. The guidelines detail how to use worked examples, separating objects, and appropriately scoped computations, while strongly advising against using empirical benchmarks or performance metrics.

This guide helps researchers navigate the complex landscape of theoretical computer science conferences. It explains the crucial distinction between 'conceptual novelty' (favored by ITCS) and 'deep technical results' (favored by STOC/FOCS). Use this to determine if your research contribution is a new idea, model, or connection, or if it is the deepest, most polished theorem on an established problem.

This guide provides comprehensive methodological advice for academic submissions in Information Systems (IS), particularly for journals like JAIS. It covers selecting and rigorously defending diverse research designs—including behavioral experiments, causal inference (Economics of IS), design science, qualitative studies, and literature reviews. Use it when you need to validate the suitability of your methodology against your research claims and underlying phenomena.

A comprehensive guide for authors to strategically position their computer science manuscripts. It helps determine if a paper is suitable for JCRD, whether to target a regular column or a specialized topic, and guides selection among related journals, significantly increasing the chances of acceptance before writing begins.

This skill guides the structuring of theoretical and conceptual frameworks for academic manuscripts, particularly for journals focusing on family science. It helps researchers move beyond simply listing correlations by defining explicit concepts, identifying underlying family mechanisms (e.g., stress process, life course, ecological), and deriving testable hypotheses and scope conditions. It is crucial for transforming empirical findings into a robust, theory-driven contribution.

This skill helps researchers pressure-test whether their project genuinely advances the understanding of families, couples, and kinship, aligning it with the scope of top-tier family science journals. It guides users on determining the core family-science contribution, defining the interdisciplinary stakes, selecting the appropriate format (full article vs. brief report), and refining the scope for maximum impact.

This structured workflow guide is designed for researchers submitting to top-tier management science journals. It acts as a comprehensive router, guiding the manuscript through the rigorous academic process: from problem definition and model construction, through theoretical proofs, algorithm analysis, and numerical validation, ensuring methodological depth over mere empirical findings.

A comprehensive guide for researchers to determine if their work aligns with the scope of the Journal of Software (JOS). It provides crucial criteria for distinguishing JOS from other major computer science publications, assisting in article type selection, and identifying potential revision signals to ensure strong software engineering focus.

This guide targets the Journal of Physical Education, a CSSCI-level journal emphasizing school physical education, sport humanities, and social science. It is ideal for researchers studying PE reform, youth fitness, and sport policy. Submissions must demonstrate strong theoretical grounding and problem consciousness, analyzing educational, social, or health mechanisms rather than merely summarizing teaching experiences.