Skill UI

A comprehensive guide for planning the entire PPoPP conference submission lifecycle. It outlines the critical path, from initial draft creation, securing machine time, through author rebuttal, artifact evaluation, and final camera-ready submission. Use this to manage the timeline backward from the final conference dates.

This guide outlines comprehensive best practices for ensuring the reproducibility of Machine Learning and Pattern Recognition research. It covers fixing random seeds, locking hardware/software dependencies (Python, CUDA, etc.), managing data splits, tracking pre-trained model versions, and structuring the required artifact package for external review. It is essential for building trust in published scientific results.

This skill guides researchers in transforming raw meta-analysis results (e.g., pooled effects, moderator analyses) into a genuine, high-impact theoretical contribution suitable for integrative review journals. It teaches how to interpret conflicting findings, build or refine theoretical models, clearly state scope conditions (boundary conditions), and set concrete future research agendas, ensuring the findings advance the field beyond mere statistics.

A comprehensive guide for designing conceptual figures for highly theoretical manuscripts (e.g., Psychological Review). This skill teaches how to create two types of non-experimental exhibits: structured model/architecture diagrams and simulation-of-model-behavior plots. It emphasizes rigorous academic standards, including defining constructs vs. processes, distinguishing predictions from fits, and ensuring figures are self-contained and diagnostic.

This guide helps authors refine the core contribution sentence for Quantitative Economics (QE) manuscripts. It shifts the focus from complex methodology (machinery) to the clear, quantitative economic answer (the payoff). Learn to structure claims by linking a clear economic question, a measured quantity (estimate, counterfactual), and a broader policy lesson, while explicitly stating scope and uncertainty to meet high academic standards.

A comprehensive methodological guide for structuring the robustness checks and online appendix of high-level empirical economics manuscripts, specifically tailored to the standards of the Quarterly Journal of Economics (QJE). It provides a structured approach to defending the identification assumption, selection, measurement, and inference, ensuring the paper anticipates and addresses potential referee critiques.

A comprehensive guide detailing best practices for achieving high reproducibility in recommender system research. It covers critical areas such as dataset version pinning, defining symmetric tuning protocols, selecting full-ranking metrics, handling non-determinism via multiple seeds, and structuring rigorous divergence analysis for academic publications.

This specialized router guides the entire manuscript development process for submissions to The Review of Economics and Statistics (REStat). It does not replace specialized skills but systematically directs users through the full research pipeline—from initial topic selection and causal identification to robustness testing, figure creation, and rebuttal strategy—ensuring a structured approach to applied econometrics research.

This skill guides the writing of a strong, argumentative literature positioning section for high-impact academic journals. It teaches researchers how to move beyond simple citation lists by systematically confronting the nearest competing works, clearly defining the unique marginal contribution, and establishing the necessary context ("why now?") for the research, ensuring the work's novelty and readability.

This guide is designed for advanced academic research, helping scholars evaluate whether their current research idea meets the rigorous standards of top-tier economics journals (e.g., REStud). It teaches how to distill complex findings into a single, original, and technically excellent contribution, diagnosing potential weaknesses in novelty, scope, and general interest.

A comprehensive guide for authors addressing the rigorous identification requirements for industrial-organization (IO) manuscripts, particularly targeting top-tier journals like the RJE. It details structural and reduced-form modeling approaches for areas including demand, supply, entry, mergers, and auctions. The resource emphasizes defending endogeneity, selecting appropriate market-based instruments, utilizing modern econometric estimators (e.g., Callaway–Sant'Anna), and establishing clear causal links between variation and structural parameters.

Provides detailed guidelines for authors submitting manuscripts to academic journals, specifically addressing the strict limit of 10 tables and figure panels, along with a 10-page supplementary cap. This guide teaches authors how to critically select, consolidate, and present key research results—such as marginal effects, event studies, or decomposition plots—to ensure every exhibit is self-contained, highly clear, and robust enough to pass expert review.