Skill UI

This guide provides a comprehensive framework for authors responding to major journal revisions. It teaches how to structure a technical, point-by-point rebuttal, systematically closing proof gaps, strengthening assumptions, incorporating missing baselines, and preparing the entire codebase and data for professional reproducibility review.

This comprehensive guide details the entire editorial review process for quantitative economics publications, covering stages from initial desk screening through to pre-acceptance reproducibility checks. It provides critical insights into expected timelines (4-5 months), desk-reject risks, the Econometrica transfer option, and mandatory data/code preparation requirements. It is designed to set clear professional expectations for authors throughout the academic publishing cycle.

A comprehensive guide for structuring point-by-point responses to reviewers after a major academic review (RED). It emphasizes prioritizing model critiques, quantitative evidence, calibration discipline, and maintaining code/data archive updates. This skill ensures your rebuttal is structured, rigorous, and directly addresses the core concerns of quantitative reviewers.

This tool guides the transformation of a coded, screened corpus into a robust analytical spine for academic synthesis. It moves beyond simple annotated bibliography summaries by requiring the construction of a conceptual framework (e.g., taxonomy, theoretical model, tensions). This structure ensures the review advances theory or policy, providing a coherent, critical argument for the field.

This comprehensive guide outlines the mandatory steps for transforming an accepted, anonymized academic paper into the final ACM Digital Library Camera-Ready format. It covers de-anonymization, adhering to ACM metadata standards (DOI, ORCID, CCS concepts), integrating reviewer feedback, and ensuring permanent reproducibility of code and traces.

This guide details the strategic placement of content for academic submissions, dividing material into Main Part, Appendix, and Supplementary ZIP. It provides best practices for authors to manage proofs, protocols, and code while adhering to strict page limits and double-blind review constraints, ensuring maximum review integrity and clarity.