Skill UI

A comprehensive guide for authors aiming to submit manuscripts to 'Studies in Science of Science.' It details the journal's focus areas, such as science metrics, knowledge networks, and technology policy, emphasizing the need for deep theoretical and methodological contributions. The skill helps authors optimize structure, avoid common rejection traps, and ensure adherence to academic publishing standards.

A comprehensive guide for academic authors on how to transition raw research findings into a clear, explicit, and highly significant statement of knowledge. It teaches authors how to frame their contribution—whether it's a new theory, a refined measurement, or a policy implication—to satisfy journal requirements and reviewer skepticism, ensuring the paper clearly answers the question: 'What does the field now know?'

This guide provides a rigorous methodology for achieving scientific reproducibility in technical and user experience papers (e.g., UIST). It details three essential 'ledgers': the Build Ledger (pinning software, hardware, and environment dependencies), the Measurement Ledger (defining precise protocols for metrics like latency and accuracy), and the Study Ledger (documenting human evaluation tasks). Following these protocols ensures that external researchers can accurately rebuild the artifact and validate reported results.

A comprehensive guide for strengthening the reproducibility of academic papers, especially those involving systems claims (e.g., power usage, latency). It details maintaining a 'recipe ledger' for all reported metrics, ensuring constraint-aware measurement of environmental variables, and managing data/artifact consistency across the entire two-round revision process.

A comprehensive guide for authors preparing camera-ready submissions for Web Conferences. It covers the critical pre-acceptance steps, such as de-anonymization, restoring acknowledgements, managing ACM e-rights, and submitting associated artifacts. Learn how to navigate the tight production pipeline, ensuring compliance with ACM standards and meeting strict page limits.

This skill guides researchers in transforming raw empirical findings into robust, portable, field-level theoretical contributions suitable for top-tier journals. It provides a structured framework for elevating results by defining explicit communication mechanisms, establishing scope conditions, and articulating observable implications. It ensures the work contributes to the core body of theoretical communication knowledge, moving beyond simple effect documentation.