Skill UI

A guide for authors on navigating the MIS Quarterly (MISQ) peer review cycle. It details the double-anonymous process, how the Senior Editor owns the decision, and how to correctly interpret various decision letters (Major/Minor Revision, Reject). Essential for setting proper expectations during manuscript revision and rebutting reviewer comments.

This comprehensive guide details the rigorous review process for academic manuscripts, specifically focusing on the standards used by top-tier journals like Marketing Science. It explains the double-anonymous review structure, what editors and reviewers prioritize (e.g., model fit, originality, counterfactual validity), and how to correctly interpret decision letters (Reject, Revise & Resubmit, Conditional). Use this before submission or when preparing a rebuttal.

This guide provides a detailed checklist and structural framework for polishing Marketing Science manuscripts. It emphasizes leading with clear business intuition over complex notation, adhering to INFORMS house style (citations, formatting, length), and ensuring the paper is submission-ready. Use this skill during the late-stage review process when the model and core arguments are finalized.

A comprehensive guide to modeling the specific peer review cycle of MLSys submissions. It details the OpenReview workflow, the challenges posed by the mixed ML and systems reviewer pool, and provides strategic advice on addressing concerns related to workload representativeness, baseline strength, and evidence scope matching for high-stakes technical papers.

Provides a comprehensive guide to navigating the complex two-round review process of MobiCom. It details key stages, from early rejection and rebuttal windows to one-shot revision, and advises authors on strategic actions and best practices at each point to maximize the chances of acceptance.

This guide helps authors navigate the complex, multi-stage submission process for MobiCom. It emphasizes planning backward from the final paper cutoff, accounting for two distinct annual rounds, staggered review stages, and the critical impact of schedule slips on program editions. Essential for managing wireless and mobility research timelines.

A comprehensive guide for submitting research artifacts to the MobiSys Artifact Evaluation Committee (AEC). It details the process for achieving three independent ACM badges (Available, Functional, Results Reproduced). Emphasis is placed on creating fully reproducible, script-first workflows, designing for hardware-optional environments, and maintaining strict anonymity during review.

This guide provides a structured methodology for authors responding to peer reviews in technical conferences (e.g., MobiSys). It emphasizes strict scope discipline, focusing only on correcting factual errors or answering specific reviewer questions. The process requires anchoring all claims to existing evidence and maintaining a double-blind approach to maximize acceptance chances.

A comprehensive guide for authors planning submissions to MobiSys. It details the two-round review process, the specialized pool of systems-and-services reviewers, and critical scoring dimensions such as on-device evidence, energy/latency rigor, and contribution mechanism. Use this to formulate a robust response strategy for every stage, from initial submission to camera-ready.

A comprehensive guide detailing the submission and review process for the M&SOM journal. Learn about the author-driven departmental routing, the double-anonymous review structure, key decision criteria (operations-centrality, originality), and how to correctly interpret various decision letters (Major/Minor/Desk Reject) to maximize publication chances.

This guide details the critical process of transforming an accepted, anonymous conference paper into its final, published, open-access version for the ACL Anthology. It covers the essential 'three-source merge' process: integrating reviewer-promised revisions, restoring author identity and community acknowledgements, correcting metadata, and managing conference logistics. Essential reading for authors submitting to top-tier NLP venues like NAACL.

This guide provides an expert methodology for designing and auditing Natural Language Processing (NLP) experiments for top-tier academic submissions. It instructs researchers on how to map meta-review claims to measurable evidence, ensure budget-fair comparisons, and systematically address potential reviewer probes (scope, fairness, contamination, etc.) to maximize publication rigor.