Skill UI

A comprehensive project management guide for submitting academic papers, specifically tailored for the IEEE VIS conference cycle. It maps out all critical milestones, from initial area selection and abstract submission through to conditional acceptance revisions and final camera-ready preparation. Use this skill to responsibly plan for the annual cycle, manage reviewers' expectations, and mitigate common submission risks.

A comprehensive checklist and guide for authors submitting research papers to PVLDB (Proceedings of the VLDB Endowment). This resource details critical steps, including adherence to multiple deadlines (abstract, full paper), category budget selection, single-blind formatting rules, and author co-contribution caps, ensuring submissions avoid desk rejection.

This comprehensive guide helps researchers determine if their project qualifies as a core data-management primitive, which specific PVLDB category (Regular, EA&B, Scalable Data Science, Vision) it belongs to, and whether a major data conference like VLDB or SIGMOD is the optimal submission venue. It provides a rigorous primitive test and detailed routing advice for top-tier data systems research.

This guide helps researchers determine the optimal venue for their Computer Vision paper, specifically addressing the unique identity of WACV (Applications-first) versus major conferences like CVPR, ICCV, and ECCV. It guides authors on whether their contribution is driven by real-world applications/constraints or by advancing core algorithms, and how to choose between the Applications or Algorithms track within WACV.

This comprehensive guide helps authors evaluate if their hydrology or water-science manuscript is a suitable fit for the Water Resources Research journal. It mandates that contributions must be quantitative, generalizable advances, not single-basin case studies. The tool emphasizes rigorous benchmarking, adherence to AGU house styles, and compliance with open data/code deposition policies.

A detailed guide for structuring and positioning development economics research for high-impact journals like The World Bank Economic Review (WBER). It teaches researchers to reframe their work to satisfy two crucial criteria: rigorous empirical design (credible empirics) and actionable policy relevance in developing countries, ensuring the work transcends being a mere project report.

This comprehensive router guides authors through the entire lifecycle of a rigorous development economics manuscript targeted at The World Bank Economic Review (WBER). It outlines the ideal sequence of specialized skills—from initial topic selection and literature positioning to establishing credible causal identification, managing robustness checks, and preparing the final submission package and rebuttal letter, ensuring the paper meets WBER's demanding standards.

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.

This guide helps authors determine if their research is web-native and which specific research track (e.g., Search, Security, Economics) is the most appropriate fit for submission to the Web Conference (WWW). It outlines critical decision points, distinguishing between general ML methods and web-specific contributions, and advises on optimal submission strategy.

This guide provides a comprehensive framework for researchers to assess if their development-related work is suitable for World Development (WD). It moves beyond mere methodological rigor, focusing instead on the paper's multidisciplinary relevance, real-world policy stakes, and ability to advance global understanding of development problems (e.g., poverty, governance, inequality). It helps authors ensure their findings appeal to a broad academic and policy audience.

This router is designed to guide researchers through the complex, multidisciplinary workflow of writing a manuscript for World Development (WD). It helps users determine the correct next step—whether the paper is quantitative, purely qualitative, or mixed-methods—at every stage, from initial topic selection and literature positioning to robust revision, rebuttal, and final submission. It ensures the work meets the high bar of real-world development relevance.

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.