Skill UI

A comprehensive guide for structuring and refining academic research topics in Public Administration. It assists users in moving from broad, vague domains to concrete, theory-grounded, and publishable research questions. The guide emphasizes theoretical positioning, defining distinct contributions, and matching the paper's nature to appropriate academic journals.

This comprehensive guide outlines the academic standards and best practices for drafting or revising papers in the Computer-Supported Cooperative Work (CSCW) domain. It provides detailed advice on managing effective word count, shifting focus from individual users to group dynamics, strengthening theoretical arguments, and presenting empirical evidence with high academic rigor. Essential for researchers aiming for top-tier publication.

This guide provides best practices for authors writing the "Related Work" section for interdisciplinary AI conferences. It teaches how to precisely position novelty across multiple domains—including ML fairness, law, HCI, and critical theory—by writing delta-first contrasts and properly attributing borrowed concepts to their original academic source.

This skill guides authors on how to position interdisciplinary manuscripts for journals covering global environmental change (GEC). It emphasizes connecting multiple knowledge domains (e.g., biophysical science, governance, social science) and reframing the research gap as a conceptual contribution, rather than merely pointing out an absence of study. Essential for drafting strong introductions and satisfying reviewer requirements for disciplinary breadth.

This guide ensures that manuscripts for Global Environmental Change (GEC) are rigorous and highly readable for an interdisciplinary, policy-relevant audience. It focuses on polishing prose, front-loading contributions, minimizing jargon, and structuring discussions to meet strict word and abstract caps, ensuring clarity across environmental science, governance, and policy domains.

This comprehensive guide helps authors navigate the complex decision of where to submit their Human-Robot Interaction (HRI) research. It outlines critical criteria, including the robot-embodiment and human-in-the-loop tests, to determine the correct venue (e.g., HRI, CHI, ICRA/IROS). Furthermore, it details the five specialized tracks within HRI and advises authors on matching their primary technical contribution to the most suitable academic domain.

A comprehensive guide for designing and auditing empirical experiments in signal processing, audio, and speech domains. It emphasizes matching standard metrics (e.g., WER, SI-SDR, PSNR) to specific tasks, establishing current strong baselines, and systematically sweeping operating conditions (like SNR or reverberation time) to ensure robust, reliable, and publication-ready results.

This guide details the advanced methodology for structuring the 'Related Work' section for top-tier academic conferences (e.g., ASPLOS). It emphasizes positioning research across multiple parallel domains—including architecture, OS/systems, compilers, and accelerators—and defining the precise technical boundary where your work advances the state of the art.

This guide provides stringent rules and structural advice for authors tackling academic papers, particularly in the domain of software maintenance and evolution. It emphasizes leading with the maintenance problem, stating research questions as contractual measurements, pairing every claim with proportional evidence, and rigorously discussing threats to validity. Use this when revising academic submissions to ensure maximum impact and technical rigor for the field.

This guide helps authors properly structure and position computer science manuscripts for submission to the IEEE International Symposium on Mixed and Augmented Reality (ISMAR). It covers conference fit assessment, required evidence (system, user, perceptual validation), effective paper framing, and strategic advice on rebuttal and scope definition within the AR/MR domain, ensuring the work meets top-tier venue expectations.

This guide helps researchers evaluate the suitability of their electric power system manuscripts for leading journals like IEEE Transactions on Power Systems (TPWRS). It details the required 'system-level methodological contribution' standard, emphasizing validation through credible case studies, adherence to standard test systems, and positioning the work within core power system domains (e.g., stability, optimal power flow, renewables integration).

This guide provides detailed best practices for ensuring the reproducibility of advanced AI research across various domains, including algorithms, theories, multi-agent systems, and datasets. It outlines the specific evidence required—from pseudocode and seeds to full proofs and public datasets—to elevate a submission's credibility rating from 'irreproducible' to 'convincing' for top-tier AI conferences.