Skill UI

A comprehensive guide for strengthening causal identification strategies in empirical finance and economics. It covers advanced quasi-experimental designs like Difference-in-Differences (DID), Instrumental Variables (IV), Regression Discontinuity (RDD), Propensity Score Matching (PSM), and Double Machine Learning (DML). Use this framework to stress-test your research design, address common econometric pitfalls, and ensure your paper meets the rigorous standards of top academic journals.

This is the definitive workflow guide for submitting academic manuscripts in Chinese sport science. It helps researchers determine the manuscript's sub-discipline, methodological approach, theoretical level, and target audience, ensuring accurate matching with specific CSSCI-level journals. It serves as a crucial router to prevent misdirected submissions.

A comprehensive guide for structuring and refining academic research topics in Public Administration. It assists users in moving from broad, vague domains to concrete, theory-grounded, and publishable research questions. The guide emphasizes theoretical positioning, defining distinct contributions, and matching the paper's nature to appropriate academic journals.

A detailed guide designed for researchers targeting top-tier economics journals, such as Finance & Trade Economics (CTE). It systematically helps users refine their manuscript by checking four critical areas: scope fit (fiscal, tax, trade, consumption), theoretical grounding, measurable marginal contributions, and appropriate journal matching. This ensures the research meets the high standards required for publication.

This skill provides a specialized guide for submitting academic manuscripts to East China Economic Management. It analyzes the journal's specific scope, required structural elements, common rejection pitfalls, and matching criteria (e.g., elevating local experiences to general mechanisms). Use this tool to refine your paper's theoretical framing and methodology to maximize its fit with the target venue.

A comprehensive workflow guide for routing clinical medicine manuscripts. It classifies studies by specialty, study design (RCT, observational, review), and evidence strength, helping authors select the optimal journal venue (e.g., JAMA, Lancet) for submission and re-framing. It emphasizes matching the manuscript to specialized society guidelines and evidence hierarchy.

Provides rigorous guidelines for analyzing experimental game data and constructing numerical examples for high-level theoretical journals. Emphasizes that analysis must be tightly linked to theoretical claims, such as matching observed outcomes to predicted equilibria, rather than serving as general causal evidence. Covers session-level clustering, structural fitting, and ensuring computational reproducibility.

A comprehensive guide for authors targeting IEEE Transactions on Information Theory. It assesses whether a manuscript meets the journal's extremely high theoretical standards, focusing on theorem-driven proofs, matching achievability and converse arguments, and fundamental information-theoretic limits (e.g., channel capacity, rate-distortion). Ideal for authors needing a fit check or re-framing applied results into foundational theory.

A comprehensive guide for designing and presenting rigorous experiments for top-tier computer science journals. It covers best practices for ensuring reproducibility, matching evidence to claims, selecting appropriate baselines, performing statistical significance testing, and handling modern challenges like LLM contamination and system scalability measurements. Essential for passing double-blind peer review.

This guide helps polish academic manuscripts for high-impact policy journals (like JPAM). It focuses on achieving a clear, calibrated, and decision-oriented voice. Learn how to state policy implications without overclaiming, ensuring the findings are legible to a cross-disciplinary audience of economists, public policy scholars, and practitioners. It emphasizes matching claims to the actual statistical design and stating necessary scope conditions.

A comprehensive guide for authors submitting to high-impact scientific journals. It outlines the essential principles for structuring experiments and presenting evidence, emphasizing claims-evidence matching, fair benchmarking, differentiating result sources (simulation, hardware, theory), and ensuring statistical rigor. Covers best practices across computer science, control, communication, and microelectronics.