Skill UI

A detailed project management guide for submitting research papers to major cloud computing conferences like ACM SoCC. This workflow covers the entire lifecycle, from initial venue selection and evidence locking to abstract submission, rebuttal, and final acceptance. It provides critical backward planning heuristics and warns authors about common pitfall areas, such as insufficient measurement rigor or poor anonymity handling.

A comprehensive guide for authors responding to major journal revisions (R&R) in sociology. It provides rigorous, actionable strategies for structuring a professional rebuttal letter, specifically addressing deep academic concerns such as sociological problematic, theoretical dialogue, social mechanisms, and methodological trustworthiness, ensuring responses are evidence-based and academically sound.

This guide provides specialized instructions for authors writing sociological theories. It teaches how to articulate a clear conceptual contribution by defining a 'new way of seeing' and rigorously differentiating the proposed theory from existing academic works. It ensures the claim is a conceptual advance, not merely a restatement or application.

This guide outlines the rigorous, step-by-step process for constructing a robust sociological theory. It ensures academic rigor by requiring the explicit definition of concepts (including extension and distinction), stating underlying assumptions, specifying the social mechanisms that drive relationships, and deriving internally consistent theoretical propositions. It is essential for transforming raw ideas into a structured, defensible academic manuscript.

A comprehensive guide for authors submitting to SODA (ACM-SIAM Symposium on Discrete Algorithms). It clarifies the rules for including computational evidence, distinguishing between proofs relying on computation, supporting implementations, and full experimental contributions. It emphasizes using verifiable certificates and structuring the submission for rigorous, independent review.

A comprehensive guide for authors submitting theoretical computer science papers to SODA. It clarifies the distinction between SODA (theory-led) and ALENEX (experiment-led), advising on when and how to incorporate numerical evidence. The protocol details best practices for honest numerics, including instance generation discipline, claim-class labeling (illustration, evidence, motivation), and proper submission routing to ensure academic rigor.

This skill provides a comprehensive framework for ensuring the mathematical verifiability of advanced algorithms papers (like those submitted to SODA). It guides authors to establish a complete, checkable argument, documenting every claim, explicit model assumption, constant status, and providing machine-checkable steps. It moves beyond simple claims of accuracy to mandate full, reproducible proof structures.

This guide details the rigorous, multi-stage academic review process for submissions to top-tier conferences like SODA (Symposium on Discrete Algorithms). It covers the entire lifecycle, from initial submission and abstract assignment to deep technical refereeing, author rebuttal phases, and final PC decision-making. It provides actionable advice on writing style, addressing reviewer comments, and improving borderline papers.

A comprehensive guide for writing the evaluation section of a systems paper for top-tier conferences. It teaches authors how to map every technical claim to verifiable experiments, establish fair state-of-the-art baselines, utilize mixed workloads (microbenchmarks, E2E applications, and traces), and honestly report critical metrics like performance tails, variance, and overheads. The goal is to maximize credibility and withstand rigorous peer review.

A comprehensive resource for academics targeting the South China Journal of Economics. It provides deep insight into the journal's scope, preferred topics (e.g., Greater Bay Area, open economy, digital economy), rigorous submission standards (anonymous review, fee-free), and structural requirements. Use this guide to evaluate manuscript fit, optimize framing, and reduce the risk of desk rejection before official submission.

This guide teaches authors how to position their research manuscript for top-tier journals like Social Psychology Quarterly (SPQ). It emphasizes framing the work within specific sociological theoretical programs (e.g., symbolic interaction, structure–individual link) rather than general psychological findings, ensuring the contribution speaks directly to the field's ongoing academic debates.

Guidelines for ensuring academic proofs are completely verifiable by third parties, especially when theorems are distributed across multiple documents (e.g., extended abstract and full version). It emphasizes single-source builds, preventing statement drift, and detailing computational determinism requirements for maximum rigor in theoretical computer science research.