Skill UI

This framework guides researchers to evaluate whether their current manuscript meets the high academic standards of top-tier comprehensive journals (e.g., Social Sciences in China). It moves beyond technical sophistication, focusing instead on the depth of intellectual contribution, originality of theory, and the macro-level significance of the research problem, preventing mis-submission and guiding revision strategy.

This tool guides the transformation of academic manuscripts, particularly in the social sciences, from a policy-report or work-summary tone into a rigorous scholarly argument. It helps users replace vague slogans and empty claims with concrete theoretical mechanisms, ensuring the writing maintains a scholarly, restrained, and macro-perspective, and that every paragraph centers on a discernible core proposition.

This guide provides a structured framework for academics to elevate their research topics. It instructs authors on transforming narrow empirical questions into major theoretical and institutional debates, connecting research to core societal issues (China, World, Era). It emphasizes moving beyond simple policy assessment to address structural contradictions and theoretical gaps, suitable for advanced academic writing.

A comprehensive workflow guide for academic manuscripts targeting top-tier social science journals. It acts as a sophisticated router, advising authors on the correct sequence of revisions—from establishing the core problem and theorizing contributions to refining argumentation, literature dialogue, and style—ensuring the work meets standards for original theory and grand academic problems.

This skill helps authors assess the fit of their manuscripts for the journal Studies in Labor Economics. It analyzes whether the research theme, methodology, and contribution align with core labor economics topics (e.g., wages, employment, skills, social security). It provides detailed guidelines on structuring, required evidence, and potential revision directions before formal submission.

A comprehensive audit guide for submitting full papers to IEEE VIS. It covers the complex, multi-stage submission process, requiring authors to adhere to journal-quality standards (IEEE TVCG). The guide details the strict deadlines for abstracts, full papers, and supplemental materials, along with critical mechanics like the 9+2 page budget, proper society/track selection, and advanced double-blind anonymization techniques.

This comprehensive guide outlines the rigorous, multi-step process required for authors to finalize and submit their accepted papers for VLDB proceedings. It covers essential technical compliance points, including using the correct volume template, ensuring PDF/A compliance with embedded fonts, adhering to figure legibility rules, and detailing the permanent storage of research artifacts (DOI-backed). It also outlines the associated conference presentation obligations.

A comprehensive guide for authors preparing camera-ready submissions for Web Conferences. It covers the critical pre-acceptance steps, such as de-anonymization, restoring acknowledgements, managing ACM e-rights, and submitting associated artifacts. Learn how to navigate the tight production pipeline, ensuring compliance with ACM standards and meeting strict page limits.

A comprehensive guide for authors drafting or revising academic papers for Web Conference (WWW). It teaches how to structure the paper around a web-native mechanism, quantify scale, and write for a mixed computing and social science audience. Learn best practices for page-one impact, compression, and stylistic details to maximize review scores.

This guide outlines the rigorous standards for establishing causal claims in development economics and social sciences. It covers robust quantitative methods (like DID, IV, RDD, RCT) and structured qualitative/mixed-methods approaches. The core principle is that the logical route from evidence to claim must be explicitly defensible and matched to the strength of the assertion, avoiding over-claiming.

A comprehensive framework for ensuring reproducibility in Web Search and Data Mining (WSDM) research. It addresses unique challenges associated with behavioral data, covering data provenance, temporal splitting discipline, bias assumption reporting, statistical rigor (seeds, variance), and the 'honesty ladder' for non-reproducible results, helping researchers publish robust and verifiable work.

A comprehensive guide for researchers to evaluate if their project aligns with the niche scope of WSDM. It details the 'two-gate test' (web/social data focus and practical/principled approach) and provides a routing table to help authors determine the most appropriate conference venue (e.g., SIGIR, KDD, RecSys) for their work.