Skill UI

A comprehensive project management guide for preparing and submitting advanced NLP conference papers to EMNLP. It details the entire research lifecycle, including backward planning from ARR deadlines, managing data annotation timelines, coordinating team roles, and making strategic decisions (commit, revise, withdraw) to ensure successful submission.

This guide meticulously models the rigorous decision-making machinery of top-tier academic conferences, using EuroSys as a detailed example. It covers the two-round submission cycle, the 'Accept/Revise/Reject' outcome logic, double-blind review mechanics, and critical criteria (like deployment plausibility and verifiable fairness) that determine a paper's success. Ideal for researchers and graduate students preparing systems research submissions.

This guide helps researchers structure their economic questions for top experimental economics journals. It emphasizes framing the contribution around a novel, clean experimental design (the 'minimal pair') and the treatment effect, rather than merely the topic itself. It guides authors on decision-making regarding experimental types, pre-registration, and selecting the appropriate academic venue.

A comprehensive guide for structuring Human-Robot Interaction (HRI) conference submissions. It outlines the critical distinction between core, decision-making content (which must remain in the 8-page body) and supplementary materials (e.g., extended tables, instruments, codebooks). Special emphasis is placed on treating the video figure as a primary artifact, ensuring it is short, legible, and properly anonymized for double-blind review.

Provides a comprehensive guide for planning strategy within major academic conference review systems, such as OpenReview. It details the double-blind review lifecycle, author response strategies, managing public vs. private discussions, and understanding how permanent visibility impacts decision-making. Ideal for authors and reviewers preparing for high-stakes academic submissions.

A comprehensive guide for authors targeting the International Conference on Autonomous Agents and Multiagent Systems (AAMAS). This skill helps authors strategically position their work by focusing on core themes like autonomous agents, multiagent learning, game-theoretic interaction, and decentralized decision-making. It covers submission framing, evidence requirements, and risk assessment to ensure manuscripts align with the venue's technical focus.

Provides an in-depth strategic guide to the academic conference submission pipeline, using ISCA as a detailed case study. It meticulously details the two-round review structure, the critical rebuttal/revision window, and offers actionable strategies for authors to navigate reviewer feedback, committee deliberations, and the final decision-making process in top-tier architecture venues.

This guide details the rigorous standards for creating empirical tables and figures in academic marketing science (JAMS style). It covers building conceptual models, structural path coefficient tables, measurement validity checks, and creating highly actionable 'managerial exhibits' that translate statistical estimates into decision-making insights, ensuring all work is self-contained and adheres to APA guidelines.

This guide provides a deep analysis of the rigorous, multi-stage evaluation process for top-tier economic theory journals, specifically detailing the Journal of Economic Theory (JET) standards. It covers the desk-screening phase, single-blind refereeing requirements (minimum two reviewers), and editor decision-making. Use this to structure your proofs, maximize theoretical contribution, and preemptively address common academic objections.

This specialized router guides authors through the complex, multi-stage process of writing a manuscript for the Journal of Risk and Uncertainty (JRU). It diagnoses the current bottleneck—be it theoretical representation, empirical elicitation, structural estimation, or writing style—and directs the user to the most appropriate specialized skill needed to advance the research, ensuring the core focus remains on decision-making under risk and uncertainty primitives.

This guide models the rigorous, multi-cycle decision-making process for top-tier data mining conferences like KDD. It details how decisions are weighed, considering reviewer scores, rebuttal strategies, area chair synthesis, and specific criteria (e.g., reproducibility, ethics, industrial feasibility) across outcomes like Accept, Resubmit, and Reject. Essential for understanding academic publishing rigor.

A comprehensive guide for authors submitting to top Operations Management journals, such as M&SOM. It teaches how to translate complex analytical or empirical results into explicit, actionable operational contributions. The focus is on making the managerial implication, the core operational decision, and the structured abstract components clearly defined, moving the emphasis away from methodological novelty.