Skill UI

Provides comprehensive guidelines for packaging and submitting research artifacts (datasets, models, code) for major conferences. It details the difference between mere 'existence' (badge verification) and true academic 'reproducibility,' covering archival strategies, web data licensing, takedown resilience, and minimal viable package structure for long-term scholarly impact.

A comprehensive guide for ensuring the scientific reproducibility of research papers that rely on dynamic web data, such as web crawls, platform APIs, or live system traffic. It defines three reproducibility regimes (Frozen, Decaying, Unreplayable) and provides detailed instructions on documenting data decay, temporal splits, environment configurations, and computational seeds to maintain the rigor of published findings.

A comprehensive audit guide for submitting research papers to major Web Conferences (WWW). It details critical, irreversible steps such as author list freezing, restrictive page arithmetic (12 pages total), track selection protocols, anonymity checks, and managing submission caps. Essential reading for research teams preparing for demanding academic deadlines.

A comprehensive workflow guide for managing the entire academic research cycle of a major conference, such as the Web Conference. It details key milestones, backward planning strategies from abstract deadlines, fallback options (Short Papers, Web4Good), and capacity planning tips to ensure timely and successful submission and publication.

This guide assists researchers in assessing the suitability of their manuscripts for the World Economic Papers. It covers the journal's focus on international economics, open macro, and global value chains. It provides detailed checks on formatting requirements (abstract, references), assesses methodological suitability (e.g., GVC decomposition), and identifies potential submission pitfalls, ensuring academic rigor before targeting a high-level academic journal.

This guide helps researchers position their work within the broader, multidisciplinary development conversation. It teaches how to move beyond simply presenting new data or techniques, focusing instead on bridging disciplines (e.g., economics and political science) and identifying the core conceptual contribution that a non-specialist can grasp. It is crucial for manuscripts aiming for high-impact development journals.

A comprehensive guide for preparing replication and transparency packages for World Development manuscripts. It provides checklists and best practices for both quantitative (code reproducibility, data provenance, de-identification) and qualitative (evidence-to-claim trail, methods appendix) research. It addresses ethical constraints and the unique challenges of double-anonymized review.

This comprehensive guide provides authors with structured frameworks for assessing robustness and trustworthiness in World Development manuscripts. It guides users to organize checks by identifying specific threats (e.g., specification dependence, measurement error) in quantitative work, or demonstrating methodological rigor (e.g., triangulation, negative-case analysis) in qualitative work. It ensures findings are thoroughly vetted against alternative explanations.

This guide helps scholars rigorously defend the methodological design of academic papers, particularly in International Relations and Comparative Politics. It covers advanced techniques such as process tracing, case selection logic, quantitative cross-national panel data analysis (DID, IV, RDD), and experimental design. Its core purpose is to strengthen causal claims by explicitly addressing selection bias, defining scope conditions, and ruling out major rival explanations.

This guide outlines the mandatory requirements for authors publishing quantitative or mixed-method research in academic journals. It details the process of creating a complete replication package—including raw data, master scripts, seeds, and extensive README documentation—and depositing it in a trusted data repository (like Dataverse). It ensures scholarly rigor by guaranteeing that published findings are fully reproducible and traceable.

This tool acts as the central orchestrator for academic manuscripts submitted to World Politics. It guides authors through the entire scholarly writing lifecycle, determining the correct article type (research vs. review), verifying the scope (must cross cases in comparative politics/IR), and routing the project to the appropriate specialized writing skills (e.g., theory building, data analysis, literature positioning). It ensures the work maintains a big, comparative, and international scope.

This guide provides a comprehensive framework for designing rigorous and defensible evaluation sections for machine learning and information retrieval papers, particularly for top-tier conferences like WSDM. It covers the four critical evidence quadrants—Effectiveness, Validity, Efficiency, and Robustness—and details necessary protocols, such as temporal splits, proper baseline selection (including heuristics), ablation studies, and hardware-aware performance reporting. Use this when auditing or writing the experimental section of a research paper.