Skill UI

This guide outlines the rigorous standards for achieving robust reproducibility in robotics research papers, especially those involving physical hardware. It details a two-tier approach, defining results as either fully *rerunnable* (code/simulation) or fully *auditable* (hardware logs/protocols). Key requirements include creating comprehensive hardware specification ledgers, logging detailed sensor data (rosbags), separating deterministic from stochastic claims, and structuring the entire repository for peer review.

A comprehensive guide for researchers submitting academic papers to ensure high standards of reproducibility and verifiable evidence. It covers critical areas such as data-availability statements, artifact management, provenance pinning (for LLMs and mining), and mapping claims directly to evidence, adhering to rigorous academic standards.

This comprehensive guide assists software engineers in determining the most appropriate venue (e.g., ICSME, ICSE, MSR) for their research paper. It clarifies the critical difference between general software engineering techniques and studies focused on the post-release lifecycle, such as maintenance, technical debt, program comprehension, and system evolution.

This guide provides comprehensive strategic advice for authors targeting the IEEE Visualization Conference (IEEE VIS). It covers conference positioning, scope fitting, required evidence (visual encoding, evaluation), and helps authors re-frame their work from journal or arXiv formats into a selective, high-impact conference narrative. Use it when determining if a research manuscript is appropriate for IEEE VIS.

A comprehensive checklist guiding authors through the final steps before submitting a manuscript to a major academic journal. It covers critical aspects such as page limits (≤50 pages), double-spacing, required submission fees, adherence to proprietary data policies, and structuring the main text versus online appendix. Use this guide to minimize submission errors and ensure a smooth submission process.

This guide provides a comprehensive, step-by-step preflight checklist for authors submitting manuscripts to the Journal of Applied Econometrics (JAE). It covers critical rules such as strict page limits (≤35 pages), summary word counts (≤100 words, citation-free), data archiving requirements (ASCII/CSV), and proper formatting to prevent administrative rejection before peer review.

This guide provides best practices for structuring tables and figures in academic econometrics manuscripts, especially when adhering to strict journal page limits. It advises researchers on exhibit triage—determining which core findings belong in the main text versus supplementary online appendices—and guarantees reproducibility by detailing required note components and generating scripts.

This guide helps researchers assess whether their empirical work or research question possesses sufficient breadth, economic magnitude, and general-interest appeal to be suitable for top-tier, flagship finance journals like the Journal of Finance (JF). It focuses on sharpening the contribution's framing and determining its reach across various subfields, rather than conducting the empirical analysis itself.

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.

A comprehensive checklist for pre-submission review of academic manuscripts, specifically targeting the requirements of major journals like JOP. This guide verifies critical elements such as double-blind anonymity, adherence to strict page budgets (e.g., Research Articles ≤ 35 pages), correct formatting (double-spaced, 12pt), and proper management of online appendices. Using this checklist helps authors minimize the risk of desk rejection due to formatting or procedural errors.

This skill helps authors evaluate if their empirical work—which applies econometric methods to substantive economic questions—is suitable for top-tier applied econometrics journals. It guides authors on the necessary focus on empirical application, data reproducibility, methodological rigor, and proper framing, helping authors minimize rejection risks and select the best publishing venue.

This comprehensive skill guides authors on submitting academic manuscripts to the Journal of Jiangxi University of Finance and Economics. It helps users determine if their work's scope, methodology, and narrative structure align with the journal's requirements. It covers everything from field preferences and formatting rules (e.g., double-blind review) to common rejection pitfalls, minimizing the risk of inappropriate submission.