Skill UI

Provides a comprehensive guide for preparing an accepted academic paper for camera-ready submission, detailing the necessary steps after acceptance. This workflow covers de-anonymization, integrating reviewer feedback, writing lay summaries, running format checks, and managing public-facing records such as reviews and conflict disclosures, ensuring publication readiness for top-tier conferences.

A comprehensive guide for researchers submitting to the IMF Economic Review (IMFER). It teaches authors how to anticipate the toughest, predictable critiques from international macroeconomic and policy referees—such as cross-country bias, policy overreach, and identification weaknesses. By pre-empting these objections, authors can significantly strengthen their manuscript structure before formal submission.

This guide models the rigorous, double-blind, and per-track evaluation process for submissions to the IPSN conference. It details how papers are judged based on the soundness of information-processing methods, the reality of collected evidence (e.g., measured energy, latency), and the novelty of sensing approaches. It also clarifies key differences from other academic venues like SenSys and OpenReview, guiding authors on what evidence is crucial for acceptance.

A comprehensive guide designed for authors submitting to the Journal of Business & Economic Statistics (JBES). It details the unique multi-Co-Editor model, how referees scrutinize submissions (focusing on statistical validity, empirical relevance, and reproducibility), and the conventions of the discussion-paper tradition. This resource helps authors set expectations and anticipate critiques before drafting the formal response letter.

A comprehensive preflight checklist designed for submitting manuscripts to the Journal of Business & Economic Statistics (JBES). This guide ensures authors have verified all necessary components—including the data/code supplement, conflict disclosures, and cover letter targeting—against the latest academic standards. It functions as a critical final review step before formal submission, emphasizing the need to cross-reference live journal guidelines.

A comprehensive guide for designing and presenting rigorous experiments for top-tier computer science journals. It covers best practices for ensuring reproducibility, matching evidence to claims, selecting appropriate baselines, performing statistical significance testing, and handling modern challenges like LLM contamination and system scalability measurements. Essential for passing double-blind peer review.

A comprehensive guide for structuring responses to highly selective academic journal reviews, specifically for The Journal of Finance (JF) revise-and-resubmit manuscripts. It details how to prioritize the editor's central concerns over individual referee points, manage the revision process, utilize the Internet Appendix, and adhere to strict journal formatting and code-sharing guidelines.

A comprehensive guide for formatting tables and figures for submissions to the Journal of Financial and Quantitative Analysis (JFQA). This skill ensures that all exhibits are self-contained, adhere to rigorous academic standards, and meet strict formatting requirements (e.g., stating economic magnitudes, winsorization, and clustering methods) for double-anonymous review.

Provides comprehensive guidelines for authors submitting to the Journal of Econometrics (JoE). It details the required best practices for data citation (using the Elsevier `[dataset]` format), ensuring methodological reproducibility (e.g., Monte Carlo simulations), and preparing estimators as runnable code packages (R, Python, etc.). This guide is essential for meeting rigorous academic publication standards and passing peer review.

This comprehensive guide provides authors with a final preflight checklist for submitting manuscripts to high-stakes academic journals, such as the Journal of Econometrics (JoE). It meticulously covers technical formatting rules (e.g., source files, spacing, abstract length), journal-specific processes (e.g., single-anonymized review, fee payment), and navigating complex submission portals (Editorial Manager vs. Editorial Express). Use this tool as a final quality check before hitting 'submit' to ensure compliance and maximize acceptance chances.

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.

A comprehensive checklist for auditing submissions to top-tier data mining conferences like KDD. This guide covers critical areas including track declaration, OpenReview profile completeness for all authors, adherence to strict page limits, double-blind anonymity rules, and quantifying post-launch performance evidence. Essential for maximizing acceptance chances.