Skill UI

This guide helps researchers elevate vague global trends into rigorous, open-economy causal questions suitable for high-impact journals. It teaches methodology for identifying clear treatments, measuring international exposure (e.g., GVC, trade dependency), and defining precise counterfactuals within a general equilibrium framework.

This comprehensive workflow guide is designed to structure the entire manuscript preparation process for submission to The Journal of World Economy. It acts as a router, ensuring that research systematically progresses from establishing an open-economy positioning and defining causal questions, through literature review, cross-border mechanism analysis, to final submission and rebuttal preparation.

This guide assists researchers in selecting and rigorously defending the appropriate methodology for Management Science (INFORMS) manuscripts. It covers both analytical modeling approaches (e.g., optimization, stochastic processes, game theory) and empirical designs (e.g., quasi-experiments, field trials). It ensures the chosen design not only matches the research question but also meets strict departmental standards and generates decision-relevant managerial insights.

A comprehensive guide for authors responding to expert philosophical objections following journal revision requests (revise-and-resubmit). This skill structures the response letter and the manuscript revisions, requiring authors to address every critique point-by-point, whether by rebuttal, concession, or qualification. The goal is to defend the core thesis while preparing the work for rigorous, triple-anonymous academic review.

This skill guides researchers through a rigorous two-part assessment process: first, confirming the substantive importance of a marketing phenomenon; and second, verifying that the question is modelable using formal analytical or structural econometric techniques. It helps determine the ideal target journal (e.g., Marketing Science, JCR, JMR) by evaluating the core contribution and required methodology, ensuring the research aligns with specific academic standards and counterfactual requirements.

A comprehensive guide for authors writing ML systems papers for MLSys. It teaches authors how to structure a technical argument by focusing on a measured bottleneck, naming mechanisms, and structuring the evaluation around research questions. It emphasizes numerical discipline, proper figure usage, and conciseness to fit within conference page limits.

A comprehensive guide for authors on formulating strong rebuttals and executing rigorous one-shot revisions following peer review. It teaches systematic triage of reviewer points (factual, weakness, question) and emphasizes maintaining consistency and fulfilling all commitments to maximize acceptance chances.

This guide provides a structured methodology for authors responding to peer reviews in technical conferences (e.g., MobiSys). It emphasizes strict scope discipline, focusing only on correcting factual errors or answering specific reviewer questions. The process requires anchoring all claims to existing evidence and maintaining a double-blind approach to maximize acceptance chances.

A comprehensive guide for researchers targeting Molecular Ecology. It outlines the journal's scope, emphasizing that molecular methods must serve a clear ecological or evolutionary question, rather than being an end in themselves. It details required analyses (e.g., population genomics, phylogeography, eDNA), methodological rigor, and specific submission guidelines, ensuring the study's biological interpretation is strong and hypothesis-driven.

This guide provides a critical framework for academic authorship targeting top-tier Operations Management journals. It instructs researchers on how to centralize the operational decision, select the appropriate analytical or empirical 'lane,' and correctly map the research question to a specific editorial department, ensuring the work meets the journal's core scope before any modeling or data analysis begins.

A comprehensive guide for conducting advanced quantitative research using Structural Equation Modeling (SEM) on questionnaire data. It details rigorous procedures for testing complex causal relationships, including mediation, moderation, and moderated mediation, alongside handling nested data via Hierarchical Linear Modeling (HLM). Essential for academic papers requiring robust inference.

This guide helps authors determine if their academic essay—focused on the theory, method, or history of literary study—is appropriate for high-level theoretical journals like New Literary History. It emphasizes developing original theoretical or methodological questions, re-framing existing readings, and understanding the rigorous academic bar required for publication in the humanities.