Skill UI

This guide outlines the specific writing standards required for high-impact academic manuscripts in finance. It teaches authors how to structure their work to ensure the finding and its practical, managerial, or market implication ('the so-what') are immediately clear to a general finance audience, rather than being buried in technical jargon or methodology. Focus areas include finding-first abstracts and compelling first-page hooks.

A comprehensive pre-submission guide for authors targeting high-caliber academic journals like Games and Economic Behavior (GEB). It ensures compliance with critical publishing standards, covering abstract length limits (≤250 words), mandatory conference-version disclosures, generative AI declarations, and correct formatting (LaTeX/Word elsarticle). Use this checklist before submitting to Editorial Manager to minimize rejection risks.

This guide helps researchers translate academic findings into rigorous, evidence-grounded implications for policy, governance, and practice concerning global environmental change. It stresses that implications must be specific (naming actors and levers), honest about scope and uncertainty, and directly traceable to the study's results, avoiding generic overstatements.

A comprehensive guide designed to help researchers determine if their project aligns with the scope of top-tier journals like *Governance*. It provides a rigorous test to ensure that the research focuses on comparative, institutional, and general theories of state governance, moving beyond single-country case descriptions or corporate compliance.

This skill provides a comprehensive guide to elevating academic legal writing to the rigorous standard of a Harvard Law Review (HLR). It focuses on structural discipline, including crafting compelling introductions (problem, claim, stakes, roadmap), maintaining the distinct text-vs-footnote division of labor, and adopting a plain, formal, and active prose style for maximum readability by generalist scholars.

This guide assists researchers in precisely positioning their Human Resource Management (HRM) manuscripts within specific scholarly conversations. It teaches how to differentiate the work from similar fields (like Personnel Psychology or AMJ) and move beyond general topic reviews, ensuring the contribution is seen as an extension, qualification, or overturning of existing anchor works. Essential for academic writing and journal submission.

This skill polishes scholarly prose for academic manuscripts, particularly in Human Relations and social science. It focuses on elevating the writing from technically correct but flat drafts to a theoretically engaged, highly readable, and narratively compelling register. It guides users on structuring the argument (puzzle to generativity), refining prose (cutting nominalizations, using process voice), and adhering to strict academic constraints (abstract length, word caps, anonymity).

A comprehensive guide for authors preparing submissions for top-tier computer vision conferences like ICCV. It instructs writers on structuring papers for a generalist reviewer pool, maintaining the 'inclusive 8-page economy,' adopting a mechanism-first exposition style, and formulating claims that withstand rigorous review and rebuttal cycles. Essential for elevating technical prose to a publishable standard.

This guide helps academics precisely define the marginal contribution of a finance research manuscript relative to the existing body of literature. It provides structured advice on how to articulate the 'delta'—the new fact or mechanism—and appropriately size the claim to match the scope of a generalist journal, avoiding pitfalls like over-claiming or mis-targeting.

A comprehensive guide for authors structuring signal processing manuscripts for top-tier venues like IEEE Transactions on Signal Processing. It details the necessary theoretical depth, the requirement for rigorous analysis (e.g., convergence, bounds), correct baseline selection, and adherence to specific academic formatting. This tool helps authors reframe general machine learning applications into rigorous, theory-driven scientific methods.

This guide provides a structured methodology for positioning academic research manuscripts, particularly for top-tier journals like the International Economic Review (IER). It teaches authors how to articulate a novel contribution (the 'delta') by defining the current academic frontier, identifying consequential gaps, and demonstrating how their work is both methodologically rigorous and generally applicable, thus justifying its placement against competing publications.

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.