Skill UI

This guide provides rigorous criteria for formulating policy implications in academic manuscripts, particularly in industrial economics. It enforces the transition from vague, conceptual suggestions to highly actionable recommendations. Key elements require identifying the specific *agent* (who), the *implementation node* (where), the *concrete action* (what), and the *direct evidence* derived from the paper's findings or heterogeneity. It helps authors structure arguments to ensure theory genuinely guides practice.

A comprehensive guide for authors submitting to high-level academic journals, specifically detailing how to construct a point-by-point rebuttal letter after receiving R&R (Revision & Resubmission) feedback. Covers advanced econometric topics, identifying common reviewer critiques (e.g., parallel trends, robustness checks, endogeneity), and structuring professional, evidence-based revisions.

A comprehensive methodological guide for conducting exhaustive robustness checks in academic economics manuscripts, particularly for journals requiring high empirical rigor. It provides an exhaustive checklist covering variable replacement, sample window manipulation, advanced identification strategies (like PSM-DID and placebo tests), and crucially, systematically ruling out alternative explanations and confounding factors. Mastering this process is essential for defending research findings against rigorous peer review.

This tool provides a comprehensive pre-submission checklist tailored for submitting manuscripts to high-tier academic journals. It verifies adherence to complex guidelines, covering manuscript length, abstract structure, citation formats (footnotes and real references), data reproducibility requirements, and double-blind anonymity protocols. It helps authors catch technical errors and formatting inconsistencies before official submission.

A comprehensive guide for finalizing empirical tables and figures for high-level academic journals. It mandates moving beyond mere statistical significance by requiring deep economic interpretation (magnitude analysis). Covers three-line table conventions, proper event-study plot construction (CI and time markers), and precise variable sourcing (formula and database name) to ensure publication readiness.

A comprehensive guide for researchers on developing robust and original economic topics, particularly within the context of Chinese industrial economics. It emphasizes structuring research around clean policy quasi-experiments, quantifiable empirical facts, and defining 3-5 distinct marginal contributions to ensure scholarly depth and avoid common pitfalls.

This comprehensive router guides authors through the entire academic submission process for top-tier journals. It maps out the necessary steps—from initial topic selection and literature review to advanced econometric techniques (DID, mechanism, robustness) and handling reviewer rebuttal—ensuring the manuscript meets the rigorous standards of empirical research.

A comprehensive guide detailing the methodology for packaging, documenting, and staging research artifacts (including code, datasets, knowledge graphs, and demo systems) for CIKM conference submission. It covers best practices for licensing, provenance tracking, versioning, and transitioning artifacts from anonymous review status to citable public releases, ensuring reproducibility and adoptability.

A comprehensive guide for authors navigating the academic publication lifecycle, covering strategies for rebuttal windows, camera-ready revisions, and resubmission briefs for top-tier conferences. Learn how to structure arguments, maintain anonymity, focus on evidence, and calibrate tone to effectively address reviewer concerns in different submission scenarios.

A comprehensive guide detailing the rigorous, multi-stage process of converting an accepted conference paper into its final ACM Digital Library format. It covers critical steps including de-anonymization, managing e-rights, TAPS source upload hygiene, metadata enrichment (CCS/ORCID), and ensuring long-term record fidelity for publication and citation.

A comprehensive guide for designing rigorous and robust empirical programs in Information Retrieval, Data Mining, and Knowledge Management. It outlines how to meet the stringent evidence requirements for top-tier conferences, ensuring claims are substantiated across multiple evaluation dimensions (retrieval, mechanism, scalability) and incorporating best practices for reproducibility and handling modern challenges like LLM contamination.

This guide details the complex requirements for writing the 'Related Work' section for CIKM submissions. It emphasizes the need for 'three-front coverage' (Retrieval, Mining, and Knowledge Management/Databases) and provides specific instructions on writing the 'boundary-work paragraph.' It also covers critical academic hygiene, such as avoiding venue misattribution, maintaining recency baselines, and accurately stating novel contributions.