Skill UI

This guide provides a rigorous framework for designing and auditing empirical studies in software engineering (SE). It emphasizes that evidence must proportionally match the claims made, covering topics like using real subject systems, establishing fair baselines, calculating SE-standard statistics (effect sizes, CIs), and ensuring thorough provenance, especially for LLM-based work. It helps researchers strengthen their research methodology before publication.

This guide details the rigorous, journal-style review process for FSE submissions. It covers double-anonymous review, the three-reviewer program committee model, and the significance of Major Revision as a full revise-and-resubmit round. It helps authors understand how to strategically strengthen their work by addressing structural vs. revisable gaps, maximizing their chances of acceptance, and differentiating FSE's process from other conferences.

A comprehensive guide for revising empirical papers submitted to top-tier Software Engineering conferences (like FSE). This framework emphasizes structuring the paper around a clear SE contribution, treating research questions as contracts, backing every claim with proportional evidence, and rigorously arguing threats to validity, rather than merely listing them. It ensures the paper maintains maximum academic rigor and focus.

A comprehensive guide for authors submitting mechanistic studies to Functional Ecology. It details the journal's focus on linking organism function (physiology, traits, life history) to ecological and evolutionary consequences. This skill outlines the required functional mechanism, rigorous methodological standards, scope relevance (e.g., ecophysiology, trait-based ecology), and structural requirements for high-impact submissions.

This guide serves as a comprehensive pre-submission self-check tool for authors targeting the journal Games and Economic Behavior (GEB). It details the journal's scope, required game-theoretic contributions (e.g., new models, equilibrium results, mechanisms), methodological rigor, and adherence to house style. It helps authors assess if their work is genuinely game-theoretic and provides guidance on re-framing strategies and potential alternative venues.

A comprehensive guide for executing and reporting robust statistical analyses for manuscripts in Global Change Biology (GCB). This skill ensures the analysis meets the high standards of reproducibility required for publicly archived data (DOI). It covers advanced methods including mixed/hierarchical modeling, time-series and spatial analysis, meta-analysis, and rigorous uncertainty quantification (parameter, structural, and scenario). It emphasizes statistical rigor over result fabrication, guiding the use of appropriate inferential machinery based on data structure.

This resource details the rigorous evaluation process for Global Change Biology (GCB) submissions. It covers the criteria for high-bar desk rejection (scope, significance) and the depth of expert peer review. It is designed to guide authors on strengthening their manuscripts by pre-empting reviewer concerns, ensuring data reproducibility, and optimizing scope fit.

This guide provides methodological rigor for designing studies—including manipulative experiments, observational gradient analyses, and process modeling—in the context of global change biology. It helps researchers anticipate and address critical reviewer concerns regarding scale, replication, confounding factors, and the limits of causal inference, ensuring the design can support strong claims of driver-to-response relationships.

Provides rigorous guidelines for analyzing experimental game data and constructing numerical examples for high-level theoretical journals. Emphasizes that analysis must be tightly linked to theoretical claims, such as matching observed outcomes to predicted equilibria, rather than serving as general causal evidence. Covers session-level clustering, structural fitting, and ensuring computational reproducibility.

A rigorous self-assessment tool for academic manuscripts in game theory and economic behavior. It guides the identification of core assumptions, tests the logical architecture of proofs, and verifies the generalizability of results. It covers both theoretical proofs (e.g., equilibrium, mechanism design) and experimental designs, ensuring the argument withstands specialist scrutiny.

This skill provides a rigorous academic review framework for determining if a research paper significantly advances the frontiers of game theory and its applications. It assesses conceptual advances, mechanism design robustness, behavioral novelty, and cross-field reach, guiding authors on whether their work meets the high standards of top-tier academic journals like GEB. Ideal for assessing high-level theoretical or empirical contributions.

This skill guides the polishing of prose, abstract, and introduction for manuscripts intended for Games and Economic Behavior (GEB). It enforces a rigorous, idea-first writing style, ensuring the work is highly readable for a broad, multi-disciplinary academic audience (including economics, CS, and biology). Key guidelines include maintaining an abstract under 250 words, structuring the introduction around the core question and result, and motivating formal arguments with clear prose.