Skill UI

Provides comprehensive guidelines for authors submitting to major AI conferences. It helps authors audit originality, properly cite prior art (including preprints, workshop papers, and rejected versions), manage dual-submission risks, and transform the related work section from a mere list into a compelling, novel argument that clearly positions the contribution.

A comprehensive guide for researchers deciding the appropriate academic venue for their internet measurement work. It utilizes the 'measurement-first test,' ethical gate checks, and venue routing tables to help determine if a paper belongs at ACM IMC, SIGCOMM, NSDI, or a specialized journal, ensuring the core contribution is properly showcased.

A comprehensive guide for writing the 'Related Work' section for top-tier speech conference papers. It teaches authors how to trace the academic lineage of a task across multiple venues (e.g., ISCA, ICASSP, NeurIPS), properly cite canonical corpora and metrics, and condense complex literature reviews into concise, contrastive clauses.

This guide helps authors structure and sharpen the core contribution of an empirical paper for applied econometrics journals. It emphasizes shifting focus from pure theory to replicable findings derived from real data, ensuring claims are properly calibrated, and optimizing the 100-word summary for maximum impact.

This guide helps researchers properly structure graphical and CAD papers submitted to academic journals. It details the separation of core, 'decisive' evidence (main results, key figures) that must reside in the main text, versus 'extensive' supplementary materials (videos, extra data, full derivations). It emphasizes maintaining the self-sufficiency of the main article while ensuring all necessary evidence is presented.

A guide for structuring rigorous academic manuscripts in educational psychology. It teaches researchers how to state a clear psychological mechanism, derive directional and testable hypotheses, and properly distinguish between confirmatory (preregistered) and exploratory analyses, adhering to high academic standards.

This guide provides essential best practices for presenting spatial evidence in academic papers, particularly in economic geography. It emphasizes that maps and tables must make an explicit argument—show variation, spatial discontinuity, or gradients—rather than merely decorating the data. Learn how to properly report spatial model coefficients, handle projections, and avoid common cartographic and statistical pitfalls.

This guide helps writers structure academic syntheses to maintain rigorous objectivity, ensuring that the work summarizes the full spectrum of competing views rather than advocating for a single position. It details how to properly 'steelman' opposing arguments, weigh evidence impartially, separate positive findings from normative policy judgment, and honestly disclose areas of uncertainty.

This guide details how to properly structure an Internet Appendix for academic manuscripts, particularly tailored for the Journal of Financial Economics (JFE). It instructs authors on separating exhaustive proofs, secondary robustness tests, detailed derivations, and supplementary results from the main body text. Mastering this skill ensures the manuscript maintains high scientific rigor while remaining highly readable and adhering to specific journal formatting standards.

This comprehensive guide details the strict replication and data deposit policies required by the Journal of International Economics (JIE). It ensures that all components—including raw data, cleaning scripts, structural solver code, and master scripts—are properly deposited in a secure repository (like Mendeley Data) before publication acceptance, guaranteeing full research reproducibility.

This guide provides detailed instructions on structuring the online appendix for high-impact academic manuscripts. It emphasizes the critical balance between maintaining a self-contained, readable main text and providing comprehensive, verifiable supporting material. Learn how to properly place derivations, robustness checks, and data construction details to enhance the scientific rigor and credibility of your research.

A comprehensive guide for developing and defending research methodologies for top-tier academic journals, such as the Journal of Management Information Systems (JMIS). It details how to properly design studies—whether they involve econometrics, behavioral experiments, or design-science artifacts—to establish credible causal identification and meet scholarly rigor, while adhering to strict manuscript length limits.