Skill UI

A comprehensive pre-submission guide designed for authors targeting the Journal of Law and Economics (JLE). It helps determine if a manuscript—combining legal/regulatory questions with empirical or applied economic analysis—meets JLE's high standards for method, evidence, and structure. It covers identification strategies (e.g., DiD, IV), data quality, and common reasons for desk rejection.

This comprehensive skill guides authors through the specific submission requirements and editorial culture of the Journal of Machine Learning Research (JMLR). It helps authors determine if their ML method, theory paper, or dataset is appropriate for JMLR's high standards—emphasizing rigor, complete proofs, open code, and lasting scientific contribution over novelty signaling. Use this when targeting JMLR or comparing it against other top-tier ML venues.

This guide details the rigorous requirements for publishing in top-tier quantitative management journals. It specifically targets research outputs that utilize mathematical models, theoretical proofs, and computational algorithms (e.g., operations research, decision theory). It strongly advises against purely empirical surveys or case studies, emphasizing methodological contribution over policy implication.

This skill provides a comprehensive guide for authors targeting the Journal of Marketing Research (JMR). It analyzes the journal's demanding standards for methodological rigor, covering quantitative modeling, behavioral experiments, and design validity. Use this tool to assess if your manuscript's contribution, structure, and evidence base meet JMR's high academic bar, or to suggest more appropriate alternative venues.

This skill is a comprehensive fit and re-framing tool for submissions targeting elite economics journals like the Journal of Political Economy (JPE), AER, or QJE. It guides authors on elevating their work beyond mere statistical significance by establishing a strong, core economic mechanism, rigorous theoretical framework, and interpretable empirical contribution. Use this before submission to assess the manuscript's structural readiness and overall scholarly fit for top-tier publication.

This skill provides detailed guidance on assessing a research paper's alignment with the scope of quantitative economics and technical economics journals. It helps determine if the core contribution lies in advanced quantitative methods, econometrics, efficiency measurements (TFP, DEA), or input-output analysis, guiding authors toward the most suitable academic publication venue.

This comprehensive skill guides authors on assessing the suitability and framing of manuscripts targeting the Journal of Risk and Uncertainty (JRU). It covers rigorous criteria including decision-theoretic grounding, methodological rigor, risk valuation techniques, and required structure, ensuring submissions meet the journal's high standards for advancing choice models under risk.

A comprehensive guide for authors targeting the Journal of the American Society of Nephrology (JASN). It assesses the suitability of clinical, translational, or basic science studies across kidney disease, dialysis, and transplantation. Provides detailed expectations regarding mechanistic significance, evidence bar, reporting guidelines (CONSORT, STROBE, PRISMA), and manuscript structure.

This guide provides criteria for submitting research to the Journal of Tianjin University of Sport. The journal highly values mechanism-driven studies in exercise physiology, biochemistry, biomechanics, and sports medicine. Submissions must demonstrate rigorous experimental design, detailed measurements, statistical validity, and clear mechanistic interpretation, moving beyond simple descriptive reports.

A comprehensive skill designed for academics submitting papers in urban, regional, or spatial economics. It guides authors through evaluating their manuscript's suitability for the Journal of Urban Economics (JUE). The tool emphasizes the necessity of a credible spatial mechanism, robust identification methods (e.g., DiD, RDD), and adherence to high-level empirical and structural modeling standards required by top-tier journals.

This guide provides detailed standards and strategies for submitting research to high-level, comprehensive CSSCI sports journals. It covers best practices for structuring studies across diverse sub-fields, including athletic training, exercise science, sports sociology, and physical education, emphasizing the necessity of robust methodology, solid evidence, and clear disciplinary contribution.

A guide for advanced data analysis in policy evaluation, extending beyond standard causal estimates. It emphasizes rigorous reporting of cost-benefit ratios, distributional consequences (who gains and who pays), robust heterogeneity testing, and honest uncertainty quantification necessary for high-level policy academic journals. Essential for turning effect sizes into decision-relevant policy narratives.