Skill UI

A comprehensive guide for environmental science manuscripts, detailing the standards required for data reporting and ensuring research reproducibility. It instructs authors on assembling Supporting Information (SI), writing data-availability statements, and depositing raw data, code, and protocols into recognized public repositories (e.g., Zenodo, GenBank).

This skill provides comprehensive guidance for authors submitting Information Retrieval (IR) manuscripts to the European Conference on Information Retrieval (ECIR). It assists in strategically positioning the work by defining scope fit, structuring the evidence (e.g., baselines, error analysis), aligning with the rigorous standards of the European IR community, and guiding the differentiation of the contribution against similar top-tier venues like SIGIR or CIKM. Essential tool for pre-submission refinement.

This skill provides a strategic guide for authors evaluating if their AI/data mining manuscript is a suitable fit for the ECML PKDD conference. It covers scope definition, evidence requirements, academic framing, and strategic positioning relative to major global venues (e.g., ICML, NeurIPS). Use this to refine your submission narrative and maximize your chances of acceptance.

This skill guides authors through the process of evaluating if their general economics manuscript is suitable for high-tier venues like the European Economic Review (EER). It focuses on re-framing niche research to appeal to a broad readership, ensuring methodological rigor, and meeting the stringent standards for both empirical evidence and theoretical contribution, while also detailing common desk-reject triggers.

A comprehensive guide for authors submitting visualization research to the EuroVis conference. It provides expert advice on conference positioning, emphasizing specialist novelty and clear analytic value. The skill covers required evidence standards, contribution framing, and differentiating the work from other top venues like IEEE VIS, helping authors optimize their submission strategy.

This guide outlines the rigorous quantitative standards required for publishing comparative and longitudinal studies in high-impact sociological journals. It covers essential techniques such as multilevel modeling, handling small macro-N inference, calculating marginal effects, and ensuring strict reproducibility. It teaches researchers how to design analyses that withstand expert double-blind review.

A comprehensive guide for authors responding to 'revise-and-resubmit' decisions, particularly for high-impact journals like ESR. It details the strategic process of addressing reviewer critiques, focusing on comparative design, measurement equivalence, and advanced modeling. Learn how to structure your rebuttal letter, concede points with evidence, or respectfully rebut claims without weakening your core contribution.

Provides rigorous guidelines for designing complex quantitative studies, including cross-national comparisons, longitudinal panels, and multilevel models. It emphasizes identifying mechanisms, assessing measurement equivalence, and defending causal claims against confounders in advanced sociological research.

A comprehensive guide on designing self-contained, high-impact tables and figures (Exhibits) for quantitative sociological manuscripts, specifically adhering to European Sociological Review (ESR) standards. It covers best practices for presenting cross-national, longitudinal, and comparative data, emphasizing magnitude, uncertainty (e.g., forest/caterpillar plots), and strict reproducibility to ensure results stand alone for double-blind review.

Guides authors on meeting the rigorous transparency standards required by the European Sociological Review (ESR). It details how to prepare a Data Availability Statement (DAS) and a replication package for statistical and computational manuscripts. The guide covers everything from documenting data sources and versions to handling restricted administrative data, ensuring that the research process is fully reproducible and traceable.

A comprehensive guide for authors writing Experimental Economics manuscripts. This skill helps you anticipate and proactively address the rigorous, double-blind objections typically raised by academic referees—such as concerns over deception, statistical power, omitted confounds, or impure treatment contrasts—before submission, ensuring methodological integrity and strengthening the manuscript.

This package guides researchers on assembling a comprehensive deposit to meet the high standards of Experimental Economics (ESA) journals. It is crucial for academic submissions, ensuring that the materials—including participant instructions, experiment software, raw data, and master analysis code—are complete enough for others to both reproduce the statistical findings and replicate the entire economic experiment.