Skill UI

This guide provides rigorous standards for authors, detailing how to convert dense statistical outputs (like complex regression coefficients or parameter estimates) into clear, single-question exhibits for top economics journals. It emphasizes shifting focus from mere statistical reporting (e.g., significance stars) to communicating core economic mechanisms, comparative statics, and parameter identification, ensuring the argument is immediately legible to a broad, expert audience.

A comprehensive guide for developing robust and general economic models suitable for top-tier theoretical journals like the International Economic Review (IER). It teaches authors how to identify load-bearing assumptions, analytically prove existence and uniqueness, and structure arguments to demonstrate that results are intrinsic properties of the economy, not mere artifacts of functional form.

This skill guides authors in refining the core computational or methodological claim of a technical manuscript, especially for journals like IJOC. It teaches how to move beyond merely describing an application and instead rigorously defining what is computationally new, by how much, and against which baseline. It structures the primary contribution sentence to be precise, falsifiable, and method-focused.

A comprehensive guide for drafting professional and evidence-based rebuttal letters following major or minor revisions in high-level computing journals. This skill helps authors structure point-by-point responses, address computational objections with re-run evidence, and strategically manage disagreements while maintaining a professional tone.

A comprehensive guide detailing the review journey for the INFORMS Journal on Computing (IJOC). It outlines key gates, including the Area-Editor suitability check and single-blind refereeing, and provides strategies for interpreting decisions (reject, major/minor revision). This resource helps authors plan their submissions, triage feedback, and determine if a sibling journal is a better fit.

This guide helps researchers determine if their Operations Research (OR) or analytics findings are sufficiently computation-first for submission to the INFORMS Journal on Computing (IJOC). It provides a rigorous scope test, focusing on computational/methodological advances, measurable performance claims, and reproducibility standards, ensuring authors select the correct technical area and venue.

This guide provides detailed standards for structuring and writing manuscripts submitted to the INFORMS Journal on Computing (IJOC). It mandates a precise, methods-forward, and quantitative voice, ensuring the paper is accessible to both Operations Research (OR) and Computer Science (CS) audiences. Key elements covered include abstract structure (≤300 words, no formulas), rapid contribution framing in the introduction, and using numbered pseudocode for methods.

A comprehensive guide for authors responding to major academic conference reviews (e.g., ACM IMC). It details the strategy for the two distinct review turns: the initial rebuttal and the highly structured, bounded One-Shot-Revision. Learn how to maintain double-blind anonymity, address specific action points, and defend your methodology against common reviewer concerns (e.g., validity, ethics, scope creep).

This guide provides detailed instructions for authors on structuring the Related Work section for ACM IMC papers. It emphasizes that related work must cover not only prior claims but critically analyze prior datasets, vantage points, tools, and methodologies. It teaches techniques like delta-first positioning and proper venue attribution to demonstrate deep domain expertise and avoid common academic pitfalls.

This guide outlines strict rules for structuring ACM IMC papers, teaching authors how to correctly partition content. It mandates that all decision-critical evidence—including core findings, methodology, and ethics discussion—must be self-contained within the limited-page body, preventing the misuse of the unlimited appendix space. It ensures the paper remains reviewable and coherent.

A comprehensive guide for drafting and revising academic papers focused on Internet Measurement (IMC). It teaches authors how to restructure their work to prioritize measurable findings, ensuring the narrative leads with the core discovery, making methodologies fully auditable, integrating ethical considerations early, and adopting the appropriate academic discipline for networking conferences.

A comprehensive guide detailing the strategy for responding to major or minor revisions (R&R) in academic journals, particularly in economics. It teaches authors how to balance conflicting academic demands (identification, robustness) with policy relevance, structuring the response letter to be both academically rigorous and highly persuasive. Essential for improving publication chances.