Skill UI

This tool guides the refinement of academic prose, specifically for submissions to Management Science (INFORMS). It focuses on transforming notation-dense text into clear, impactful, and highly readable manuscripts. Key practices include front-loading the core results, translating complex symbols into plain language intuition, and adopting a style suitable for a broad, cross-departmental academic audience.

A comprehensive audit guide for authors submitting technical papers to the MICRO conference. It details strict formatting rules (e.g., max 11 pages, no appendix), critical deadline management (EDT time zones), and technical pre-flight checks required before HotCRP submission. Essential for ensuring the manuscript meets top-tier academic standards.

A comprehensive project management guide for the MLSys conference submission cycle. It covers the entire research lifecycle, from initial venue selection and track choice through paper submission, review responses, artifact evaluation, and final conference presentation. The guide emphasizes backward planning, managing critical resources like shared GPU time, and mitigating common failure modes.

This guide provides a comprehensive project management workflow for academic submissions to the MobiSys conference. It outlines the critical path, from initial system design and on-device measurement to final paper submission and artifact preparation. The workflow helps users plan backward from the single, crucial December deadline, managing device experiment lead time and mitigating common academic failure modes.

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.

A comprehensive guide detailing the methodological standards for conducting high-impact research in Manufacturing and Service Operations Management. It covers both analytical modeling (proofs, sensitivity) and empirical studies (identification, robustness), emphasizing the necessity of full data and code replicability for published findings.

This guide instructs authors on how to strategically position their research manuscript within the established body of Operations Management (OM) literature. Instead of claiming an unstudied 'void,' the focus is on joining and advancing specific 'operational conversations' within canonical OM streams (e.g., queueing, supply chain, revenue management). It emphasizes differentiating contributions based on novel operational mechanisms or decision levers, ensuring the paper's fit is clear to expert reviewers and editors.

A comprehensive guide for researchers writing about Manufacturing and Service Operations Management (M&SOM). It mandates that the method chosen must be dictated by the core operational decision. Provides detailed frameworks for both the analytical lane (e.g., stochastic optimization, queueing theory, game theory) and the empirical/causal lane (e.g., Difference-in-Differences, Instrumental Variables), ensuring the research delivers actionable operational insights.

A comprehensive, step-by-step checklist designed for authors preparing manuscripts for submission to Manufacturing & Service Operations Management (M&SOM). It covers crucial elements including double-anonymous anonymization, strict formatting rules (32-page cap, structured abstract), proper departmental routing, and data/code disclosure requirements, ensuring readiness for the scholarOne portal submission.

A comprehensive guide for structuring and presenting complex analytical and empirical results for Operations Management journals (M&SOM). It emphasizes strict formatting rules, adhering to a hard page limit, and ensuring that all exhibits are self-contained and immediately convey the core insight (e.g., plotting policy structures, highlighting operational magnitudes, and using automated tools for generation).

A guide for developing rigorous analytical or stochastic models for Manufacturing & Service Operations Management (M&SOM). It emphasizes translating operational decisions, objectives, and uncertainties into explicit structural results, such as policy forms (e.g., order-up-to levels) and comparative statics, ensuring the core insight remains operational rather than merely descriptive.

This guide provides a critical framework for academic authorship targeting top-tier Operations Management journals. It instructs researchers on how to centralize the operational decision, select the appropriate analytical or empirical 'lane,' and correctly map the research question to a specific editorial department, ensuring the work meets the journal's core scope before any modeling or data analysis begins.