Skill UI

A comprehensive ethical framework for anthropological research (AA), focusing on accountability, informed consent, and the 'ethics of care.' This skill guides researchers on protecting vulnerable populations, handling cultural heritage, human remains, and determining what data can and cannot be shared. It emphasizes that protecting people always overrides data sharing requirements.

This guide provides an in-depth analysis of the CIKM peer review process, which operates under double-blind rules and integrates perspectives from three distinct fields: Information Retrieval, Data Mining, and Knowledge Management. It details how authors can optimize their submissions to satisfy diverse expert standards, how to interpret complex, multi-faceted review reports, and the critical dynamics that determine a paper's acceptance status.

This comprehensive guide provides expert advice on structuring and polishing research manuscripts for multi-disciplinary academic venues like CIKM. It details how to satisfy reviewers from Information Retrieval, Data Mining, and Knowledge Management simultaneously, covering the optimal structure for the opening page, vocabulary discipline, budget compression, and effective title optimization.

This skill guides authors through the crucial decision of selecting the correct JACS format (Article or Communication). It provides detailed strategies for rightsizing the manuscript, determining what essential evidence belongs in the main text, and what detailed data should be moved to the Supplementary Information (SI), ensuring compliance with rigorous journal norms.

This guide provides researchers with a critical framework for determining if their work on algorithms, data structures, and discrete mathematics is suitable for SODA (ACM-SIAM Symposium on Discrete Algorithms). It outlines a rigorous three-question fit test, offers a routing map to comparable specialized venues (like STOC or FOCS), and clarifies the specific academic pattern required for a submission to be considered novel and impactful to an algorithms expert.