Skill UI

Provides comprehensive guidelines for conducting rigorous networking evaluations, particularly for top-tier conferences. It mandates that every networking claim—be it optimality, performance improvement, or real-world behavior—must be matched with specific, verifiable evidence. This includes rigorous mathematical proof, seeded simulation results, or real-traffic testbed measurements. The guide emphasizes stating assumptions, using fair baselines, and ensuring statistical reproducibility across all studies.

This guide helps researchers evaluate whether their finance manuscript is suitable for top-tier academic journals like the Journal of Banking & Finance (JBF). It provides a detailed framework to check for institutional content, rigorous empirical design, external relevance, and the potential to significantly change prior assumptions, while also offering routing advice to alternative specialized venues.

This guide helps authors structure and explicitly articulate the theoretical contribution of their work, specifically tailored for high-impact journals like the Journal of Business Venturing (JBV). It teaches how to move beyond mere empirical findings to define the theoretical shift, challenge existing assumptions, and specify critical boundary conditions for the entrepreneurial phenomenon.

This skill guides researchers on how to position their academic paper for top-tier journals in entrepreneurship. Instead of merely identifying 'gaps,' the focus is on joining an active scholarly conversation, problematizing established assumptions, and engaging with multiple disciplinary lenses (e.g., economics, psychology, sociology). It ensures the manuscript's contribution is clearly framed against the existing literature.

A guide on how to effectively position academic manuscripts, particularly for highly interdisciplinary journals like JCR. This technique emphasizes moving beyond 'gap-spotting' (stating what hasn't been studied) and instead focusing on 'problematization'—questioning fundamental assumptions within the existing body of consumer research literature. It teaches how to build a clear, multi-disciplinary conversation and defend the work's unique contribution against neighboring venues.

A comprehensive guide to establishing rigorous identification for advanced economic papers, targeting general-interest academic journals. It covers causal inference techniques (DID, IV, RDD), structural parameter identification, and theoretical mechanism rigor, ensuring the link between data/assumptions and results is explicitly defensible.

This guide helps elevate academic economic manuscripts by refining the structure and generality of theories and models. It ensures that assumptions are highly motivated, results are robust, and complex economic intuition is clearly articulated for a general-interest audience, meeting the standards of top-tier academic journals.

This comprehensive guide details the rigorous identification and argumentation strategies required for high-level growth and dynamic macroeconomics research. It covers both empirical tracks (System GMM, IV, DID, RDD, addressing endogeneity) and theoretical tracks (justifying assumptions, proving existence, demonstrating generality). Essential for stress-testing manuscripts for specialized journals.

A comprehensive playbook for authors responding to a major Revise and Resubmit (R&R) decision. It provides structured advice on addressing deep academic concerns—including growth mechanisms, empirical identification, calibration sensitivity, and theoretical assumptions—ensuring the response is rigorous, organized, and highly impactful for top-tier journals.

A comprehensive guide for authors publishing in economic geography journals, detailing how to structure manuscripts to satisfy both economic and geographical communities. It provides methodological advice on transitioning between formal NEG/quantitative-spatial models and conceptual/evolutionary frameworks, ensuring that the underlying mechanisms and assumptions are transparent and testable.

This strategy guides the rigorous writing of theoretical economics papers, emulating the standards of a Journal of Economic Theory (JET). It ensures that all assumptions are explicit and load-bearing, results are cleanly stated theorems, and proofs have a visible, expert-verifiable architecture. Use this when submitting a high-level theoretical paper where credibility relies on minimizing assumptions and maximizing procedural transparency for expert review.

This guide teaches academics how to write the 'related work' section for high-level theoretical journals. It emphasizes positioning a new result relative to the closest existing theorem, rather than giving a broad survey. Users learn to identify and articulate the precise 'delta'—whether it's weakening assumptions, achieving greater generality, introducing a new object, or providing a tighter/constructive characterization.