Skill UI

A comprehensive guide for ensuring the reproducibility of data mining research for top-tier conferences like ICDM. It addresses the unique challenges of triple-blind review and strict page limits by detailing necessary artifacts, such as configuration files, seed lists, and anonymized packages. Learn how to achieve Rerunnable, Rebuildable, or Attested reproducibility tiers to solidify your scientific claims.

This guide details the specialized review mechanics for top data mining conferences like ICDM. It covers the triple-blind process, the unique Accept-as-Short outcome, and the no-rebuttal posture. Learn how to structure your paper and interpret complex decision packets to maximize acceptance chances.

This guide details the process of packaging artifacts for academic conferences (ICLR), ensuring that research claims are fully reproducible and reviewable. It emphasizes providing minimal reproduction paths, maintaining data provenance, rigorously anonymizing metadata to protect authors' identities, and creating robust, permanent records for the scholarly community.

A comprehensive self-auditing guide designed for authors preparing manuscripts for submission to top-tier academic journals. It systematically addresses recurring, structural, and critical flaws across theory contribution, econometric identification, mechanism explanation, heterogeneity analysis, and writing conventions. This tool helps authors proactively identify and correct potential weaknesses before facing peer review.

Provides a comprehensive guide for preparing an accepted academic paper for camera-ready submission, detailing the necessary steps after acceptance. This workflow covers de-anonymization, integrating reviewer feedback, writing lay summaries, running format checks, and managing public-facing records such as reviews and conflict disclosures, ensuring publication readiness for top-tier conferences.

Provides comprehensive guidelines for packaging and documenting complex robotics research artifacts (code, simulations, hardware designs, datasets, etc.) for scholarly review. It outlines best practices for ensuring reproducibility, adopting the "five-minute-skeptic standard," and managing the full lifecycle of artifacts from review submission to public acceptance.

A comprehensive guide modeling the specific, single-round, double-anonymous review pipeline for IEEE ICSME submissions. It details the crucial early-decision cut (Accept, Reject, Response Recommended) and emphasizes that unlike journal submissions, there are no Major Revision rounds. Use this to strategically plan your research submission and response artifact.

A comprehensive guide for positioning visualization and visual analytics manuscripts for the IEEE Pacific Visualization Symposium (PacificVis). This skill helps authors refine their scope, evidence presentation, and overall narrative to match the unique requirements and review expectations of this top-tier conference. It acts as a fit/framing tool for conference submission strategy, ensuring the work is appropriately targeted for the Asia-Pacific community focus.

This comprehensive guide provides rigorous econometric strategies for establishing parameter identification, crucial for structural modeling and causal inference. It details how to prove that model parameters are uniquely determined by the observed data, moving beyond mere estimation convergence or external calibration. Essential for advanced empirical research and addressing stringent peer review standards.

This guide outlines the rigorous requirements for building a comprehensive replication package and proof appendix for manuscripts submitted to journals following the International Economic Review (IER) style. It details what must be included in the data deposit (datasets, programs, README) and how to structure a self-contained proof appendix, ensuring the work meets the highest standards of reproducibility and scientific rigor required for publication.

A comprehensive guide for researchers submitting to the IMF Economic Review (IMFER). It teaches authors how to anticipate the toughest, predictable critiques from international macroeconomic and policy referees—such as cross-country bias, policy overreach, and identification weaknesses. By pre-empting these objections, authors can significantly strengthen their manuscript structure before formal submission.

A comprehensive guide for preparing high-impact tables and figures for IMF Economic Review (IMFER) manuscripts. It dictates best practices for communicating international macro results to a dual audience of econometric referees and policy makers. Key principles include transparent country coverage, replacing significance asterisks with confidence intervals, and expressing coefficients in policy-relevant units (e.g., % of GDP).