Skill UI

A comprehensive guide detailing the rigorous review process of major academic journals, using the American Anthropologist (AA) as a model. Learn about editorial screening, the requirements for four-field significance, anonymous peer review, and incorporating an ethics of care framework. This tool helps authors structure their manuscripts to anticipate and mitigate common rejection pitfalls.

A comprehensive guide detailing the rigorous academic review process for submissions to elite journals. It covers initial editor triage, double-anonymized refereeing by interdisciplinary experts, interpreting complex decision letters, and diagnosing failure points (scope, theory, evidence). Learn how to anticipate critiques and structure effective revisions for publication.

This guide provides comprehensive strategic advice for authors writing commissioned review articles for the Annual Review of Economics (ARE). It covers essential topics such as scope negotiation with the Editorial Committee, anticipating the rigorous criteria used by expert referees (e.g., completeness, balance, and framework), managing the author-editor relationship, and adhering to strict academic and production deadlines. It ensures the resulting work maintains the highest standards of rigor and scholarly balance.

This guide provides comprehensive strategic advice for authors contributing review articles to the Annual Review of Sociology (ARSoc). It covers how to negotiate the scope of the review with the Editorial Committee, anticipate the specific rigor checks performed by academic reviewers (e.g., completeness, balance, framework), and manage the complex production timeline. It is essential for ensuring the manuscript meets the high standards of academic rigor and balance required for top-tier sociological publications.

This skill guides the transformation of visual observations and documentary evidence into a sustained, contestable academic thesis, suitable for high-level scholarly publication. It teaches how to explicitly state a claim (the thesis), define its scholarly stakes, and rigorously warrant every interpretive leap using evidence chains and anticipating counter-readings. Use this when a draft is descriptive but lacks a clear, disputed argument.

A comprehensive guide to adhering to ASA/ASR data-sharing and transparency standards for social science research. It helps users prepare thorough documentation, define data provenance (codebooks, scripts), manage confidentiality constraints (IRB, proprietary data), and ethically prepare materials for academic publication. Use this when structuring a manuscript's data section or anticipating reviewer questions about data verification.

A comprehensive guide for drafting and revising academic papers for the ACM CHI conference. It provides detailed instructions on structuring explicit contribution statements, calibrating claims, ethically handling participant quotes, and ensuring accessibility for mixed-expertise review juries. Essential for those submitting research in HCI and related fields.

A comprehensive guide for structuring literature reviews and clearly positioning novel contributions for top-tier academic journals. It emphasizes the critical "dual-lane" approach: analyzing both local Chinese academic literature and global international research findings. Learn how to define the gap, state the methodological increment, and articulate the unique findings in a structured, dialogue-driven manner, anticipating reviewer questions.

This skill guides authors on how to position, structure, and strengthen empirical Natural Language Processing (NLP) manuscripts for submission to the Conference on Empirical Methods in Natural Language Processing (EMNLP). It provides deep insights into conference fit, required evidence (baselines, error analysis, datasets), proper framing, and anticipating reviewer expectations for top-tier AI venues.

This guide provides an expert framework for advanced econometric analysis, focusing on establishing causal inference in fields like finance and trade. It details best practices for quasi-experimental designs (DID, IV, RDD, DML) and rigorously addresses common endogeneity issues such as policy bias, reverse causality, and anticipation effects, ensuring robust research methodology.

A comprehensive guide for strengthening the methodological design of anthropological manuscripts. It provides frameworks for defending evidence across multiple modes—including ethnographic fieldwork, archival analysis, and quantitative biological data—by anticipating and structurally refuting potential expert critiques. Essential for rigorous qualitative and mixed-methods research.

This skill guides authors preparing manuscripts for academic journals, specifically addressing the unique 'Panel Review' model (like those at Economic Policy). Instead of standard anonymous refereeing, the paper faces a live debate from two named discussants (Academic and Policy). It teaches authors how to 'war-game' these experts, anticipating their specific objections on rigor and relevance, and planning pre-emptive fixes or precise live rebuttals.