Skill UI

A comprehensive guide for authors submitting to Sociological Methods & Research (SMR). It routes authors through the rigorous, multi-stage process required for publication, covering methodological contribution, derivation, simulation studies, empirical illustration, and ensuring full software reproducibility. This tool helps authors structure their manuscript to meet high academic standards.

A comprehensive guide for preparing the data, code, and materials transparency posture when submitting a manuscript to Social Psychology Quarterly (SPQ). It clarifies the journal's guidelines (encouraged, not required) regarding data sharing, covering both quantitative and qualitative research methods while strictly adhering to ethical considerations and ASA norms.

A comprehensive guide for researchers on elevating empirical findings into substantial theoretical contributions. It teaches methods to transition from simply stating 'X affects Y' to developing novel concepts, propositions, or analytical frameworks, ensuring the work engages in genuine theoretical dialogue and positions local experiences within a broader knowledge system.

A comprehensive guide for authors submitting technical papers, detailing methods to ensure that all reported claims, figures, and benchmark numbers can be independently regenerated. This involves creating VM-ready, self-contained artifacts, mapping every claim to a specific script, and defining clear reproducibility levels (Turnkey, Scripted) to satisfy conference requirements.

A comprehensive methodological guide for designing rigorous academic studies in accounting. It details advanced econometric techniques—including Difference-in-Differences (DiD), Instrumental Variables (IV), Regression Discontinuity Design (RDD), and experimental setups—to establish credible causal identification. Use this guide when your research challenge is solving endogeneity or isolating a specific economic channel from complex, non-random variables.

Provides comprehensive guidelines for designing rigorous technical evaluations for interactive systems, specifically tailored for top-tier venues like UIST. It emphasizes matching evaluation methods to specific artifact claims, reporting distributions over means, closing the interaction loop, and performing thorough ablations against real-world baselines. This framework ensures the scientific rigor and credibility of submitted research.

A comprehensive guide for revising visualization research papers for top-tier conferences and journals (e.g., IEEE VIS/TVCG). It mandates shifting focus from aesthetic design to rigorous, task-grounded contributions. Users learn how to justify every visual encoding and interaction based on the analytical task, ensure evaluation methods match the contribution type, and structure the narrative around the data-task problem.

A comprehensive guide for structuring the 'Related Work' section in academic papers, especially in Computer Vision (CV). It teaches authors how to strategically position their research contribution by covering multiple literature shelves: vision methods, domain constraints, concurrent arXiv work, and prior art. This ensures the paper clearly defines a unique gap rather than merely listing citations, adhering to double-blind review standards.

This guide helps authors determine if their research is web-native and which specific research track (e.g., Search, Security, Economics) is the most appropriate fit for submission to the Web Conference (WWW). It outlines critical decision points, distinguishing between general ML methods and web-specific contributions, and advises on optimal submission strategy.

A comprehensive guide for preparing replication and transparency packages for World Development manuscripts. It provides checklists and best practices for both quantitative (code reproducibility, data provenance, de-identification) and qualitative (evidence-to-claim trail, methods appendix) research. It addresses ethical constraints and the unique challenges of double-anonymized review.

This router is designed to guide researchers through the complex, multidisciplinary workflow of writing a manuscript for World Development (WD). It helps users determine the correct next step—whether the paper is quantitative, purely qualitative, or mixed-methods—at every stage, from initial topic selection and literature positioning to robust revision, rebuttal, and final submission. It ensures the work meets the high bar of real-world development relevance.

This guide instructs researchers on how to adapt academic manuscripts for a highly cross-disciplinary, policy-oriented audience, modeled after the standards of World Development (WD). It emphasizes shifting the focus from literature gaps or technical methods to concrete development problems, translating complex jargon and statistical findings into clear, actionable policy implications, ensuring maximum readability for non-specialist policymakers and scholars.