Skill UI

A comprehensive guide detailing the standards for scientific reproducibility in visualization research, particularly for IEEE VIS submissions. It outlines the Graphics Replicability Stamp Initiative (GRSI) requirements, covering how independent volunteers must reproduce results using provided code, data, and environments (e.g., Docker containers). Learn how to package your work—including determinism aids, mapping tables, and licensed data—to pass rigorous, clean-machine testing.

This guide outlines the methodology for preparing research artifacts for rigorous academic reproducibility evaluations, such as those run by VLDB/SIGMOD. It details the required components—including prototype code, input data, workloads, and analysis scripts—to structure a comprehensive package. The goal is to ensure that any external evaluator can independently and flawlessly rebuild and validate all claimed results, maximizing the chances of winning reproducibility awards.

A rigorous checklist and guide for conducting causal inference in development economics, specifically tailored to the high standards of top-tier journals like The World Bank Economic Review (WBER). It covers advanced econometric designs (RCT, DiD, RD, IV), focusing not just on estimation but on defining the estimand, addressing external validity, general equilibrium effects, and translating local findings into actionable policy recommendations.

A comprehensive guide for researchers handling academic revisions after receiving a journal decision letter (R&R). It teaches how to triage critical feedback from multiple referees, prioritize the editor's synthesis, structure detailed point-by-point responses using quantitative evidence, and sequence the revision work to maximize the chances of publication.

A comprehensive guide for submitting manuscripts to The World Bank Economic Review (WBER). It covers critical pre-submission checks, including adherence to the 40-page limit, single-anonymization rules, required data availability statements with DOIs, and correct formatting (PDF, double-spaced, Times New Roman). Use this checklist before submitting via ManuscriptCentral to ensure your paper meets the journal's strict formatting and policy requirements, minimizing the risk of immediate return.

This skill is a specialized guide used by authors to evaluate the fit and required rigor for submitting development economics manuscripts to the World Bank Economic Review (WBER). It assesses the manuscript's alignment with the journal's focus on policy-relevant empirical micro and macro research, covering methodological standards (RCTs, IV, DiD), required policy framing, and structural formatting.

This guide assists researchers in assessing the suitability of their manuscripts for the World Economic Papers. It covers the journal's focus on international economics, open macro, and global value chains. It provides detailed checks on formatting requirements (abstract, references), assesses methodological suitability (e.g., GVC decomposition), and identifies potential submission pitfalls, ensuring academic rigor before targeting a high-level academic journal.

This skill provides a comprehensive framework for targeting and revising academic manuscripts for the journal World Economic Studies. It analyzes the journal's scope, focusing on globalization, open strategy, international trade, and regional economics. It guides users on required advanced methodologies (e.g., GVC decomposition, panel data), structural mandates, and common submission pitfalls to ensure manuscripts meet high academic standards.

This guide outlines the mandatory requirements for authors publishing quantitative or mixed-method research in academic journals. It details the process of creating a complete replication package—including raw data, master scripts, seeds, and extensive README documentation—and depositing it in a trusted data repository (like Dataverse). It ensures scholarly rigor by guaranteeing that published findings are fully reproducible and traceable.

A comprehensive guide detailing the rigorous, multi-stage academic review process for top-tier data mining conferences (e.g., WSDM). It analyzes the hybrid single/double-blind architecture, the impact of no rebuttal phase, and the distinct perspectives of academic and industry reviewers. Use this guide to understand the requirements for writing and structuring submissions that maximize acceptance chances.

Scanpy is a powerful, scalable Python toolkit built on AnnData for comprehensive single-cell RNA-seq data analysis. It supports the complete biological workflow, including quality control, normalization, dimensionality reduction (PCA, UMAP, t-SNE), clustering, marker gene identification, and sophisticated cell type annotation, enabling the generation of publication-quality figures.

This skill transforms raw genomic identifiers (VCF, HGVS, rsID) into highly annotated, consequence-predicted records. It utilizes powerful, open-source tools like Ensembl VEP and gnomAD to predict variant consequences (e.g., missense, nonsense), map coordinates, and attach population allele frequencies. Furthermore, it links these molecular findings to clinical and phenotype context extracted by OpenMed, forming a comprehensive research record.