Skill UI

A comprehensive audit guide for authors preparing submissions for the International Conference on Database Theory (ICDT). This guide covers critical aspects including selecting the correct submission cycle, adhering to the two-step abstract-then-paper deadline, meeting the LIPIcs formatting standards (15 pages excluding references), ensuring complete and verifiable proofs, and maintaining strict anonymity since 2024. Use this before uploading to Microsoft CMT.

This comprehensive guide details the rigorous, multi-stage process required to transform an accepted conference submission into a publishable "camera-ready" manuscript for IEEE Xplore. It covers crucial steps including adhering to strict page limits (e.g., 8 pages), de-anonymizing content, ensuring metadata compliance via PaperPlaza, completing the IEEE electronic copyright transfer (eCF), and meeting registration requirements for final archival.

A comprehensive guide for researchers on preparing, archiving, and declaring the availability of research artifacts (datasets, code, and platforms) for academic publication. It details best practices for provenance tracking, ensuring reproducibility, and meeting the standards required for community contribution awards.

A comprehensive guide for authors preparing camera-ready papers for the INTERSPEECH conference. It covers critical steps like de-anonymizing content, ensuring accurate metadata linking (DOI/ISCA Archive), meeting author registration requirements for proceedings inclusion, and planning oral or poster presentations.

A guide for designing and structuring empirical tables and figures for submissions to International Organizations (IOs). Focuses on meeting strict word limits, ensuring exhibits are self-contained, reproducible, and clearly separating core arguments (main text) from supporting details (supplementary material). Best practices include explicit unit labeling, prioritizing effect plots over dense tables, and guaranteeing that all displayed numbers match the original analysis code.

A comprehensive guide for developing robust conceptual frameworks for top-tier marketing academic manuscripts. This tool helps researchers move beyond simple hypothesis application by specifying detailed nomological networks, identifying mediating mechanisms (processes), and defining boundary conditions (moderators). It ensures the theoretical logic is sound and directly links theory to managerial implications, meeting the rigorous standards of academic publishing.

This guide details the rigorous, reproducible empirical strategies required to identify causal parameters in applied econometrics, meeting high standards (e.g., JAE). It covers various designs—including DID, IV, panel data, and time-series—and mandates that every assumption and diagnostic test must be explicitly stated, tested, and reproducible using deposited code/data.

Provides comprehensive guidelines for meeting modern academic publishing standards, particularly those required by educational psychology journals. It outlines mandatory requirements for ensuring research reproducibility, including depositing data, materials, and analysis code in trusted repositories with persistent identifiers (DOIs), adhering to JARS reporting standards, and documenting preregistration status.

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.

A comprehensive guide for establishing rigorous causal claims in law and economics. It details advanced econometric methodologies (DiD, RDD, IV, Event Study) required to defend the identification strategy—the mapping from a legal variation to the causal estimand—meeting the high standards of top academic journals.

A comprehensive guide for authors submitting empirical or quantitative manuscripts to the Journal of Monetary Economics (JME). It details mandatory requirements for data deposition, model code (Dynare, MATLAB, Stata, R), master scripting, and adherence to Elsevier's generative AI declaration, ensuring maximum reproducibility and meeting high academic standards.

A comprehensive guide for pre-submission checks before submitting academic manuscripts to journals like JMF. This checklist focuses heavily on ensuring double-blind anonymity, adhering to strict formatting guidelines (modified APA, structured abstract format), meeting page limits, and providing necessary data availability statements. It serves as the final safety net to prevent rejection at the editor's desk.