Skill UI

Guides authors through the rigorous, end-to-end lifecycle of submitting a paper to the Review of Economic Dynamics (RED). It acts as an orchestration checklist, covering critical stages from initial scope definition and quantitative modeling to data archiving, manuscript formatting, fee payment, and handling revisions. It ensures authors maintain methodological rigor and code-first discipline throughout the entire academic publishing process.

This guide provides a rigorous framework for stress-testing and implementing state-of-the-art causal identification strategies required for high-impact empirical economics. It covers advanced methodologies including Difference-in-Differences (DID), Instrumental Variables (IV), Regression Discontinuity (RDD), Synthetic Control, and Structural Modeling. It emphasizes modern estimators (e.g., Callaway-Sant'Anna, effective F) and robust diagnostic checks to ensure the causal claims are methodologically sound and defensible.

This workflow acts as a comprehensive router for academic researchers, guiding the entire manuscript lifecycle from initial topic selection and literature positioning through empirical identification, theoretical modeling, writing refinement, and final submission/rebuttal. It ensures the work adheres to the rigorous standards of top journals like The Review of Economic Studies (REStud).

A comprehensive guide for authors addressing the rigorous identification requirements for industrial-organization (IO) manuscripts, particularly targeting top-tier journals like the RJE. It details structural and reduced-form modeling approaches for areas including demand, supply, entry, mergers, and auctions. The resource emphasizes defending endogeneity, selecting appropriate market-based instruments, utilizing modern econometric estimators (e.g., Callaway–Sant'Anna), and establishing clear causal links between variation and structural parameters.

Comprehensive guidelines for auditing and reproducing high-stakes empirical financial research. This resource details the rigorous standards required for top-tier finance journals, covering sample construction, identifying variables, advanced econometric modeling (e.g., panel data, factor pricing), handling international cross-market data, and establishing a fully reproducible data pipeline. Essential for ensuring the robustness and credibility of finance findings.

This guide assists researchers in evaluating the fit of their manuscripts for the journal Scientific Decision Making. It covers journal scope, required methodologies (e.g., system modeling, policy evaluation), structural improvements, common formatting pitfalls (footnotes, Arabic numerals), and cross-journal selection criteria to maximize acceptance chances.

A detailed guide modeling the complex academic review machinery, using SIGIR as a primary example. It covers everything from per-track anonymity regimes and PC-member nomination duties to the critical scoring criteria: evaluating validity, fairness of comparison, and statistical rigor. Essential reading for authors preparing high-stakes research submissions.

A comprehensive guide for authors revising performance-intensive academic papers, such as those for SIGMETRICS. It emphasizes the need to state a precise performance contribution on the first page, explicitly detail all modeling assumptions, and pair every quantitative claim with proportional evidence (proofs, simulations, and measurements).

This guide provides comprehensive best practices for designing and auditing cloud system evaluations, particularly for academic submissions. It mandates that claims must be supported by measured evidence from real or realistic deployments, moving beyond simple simulations. Key metrics emphasized include tail latency (p99), operational cost modeling, and verifiable behavior under scale and multi-tenancy.

This guide details the rigorous academic review process for ACM Symposium on Cloud Computing (SoCC) submissions. It explains the dual-anonymous, two-round review structure, the importance of incorporating both systems performance and data measurement rigor (including tail latency and cost), and how the rebuttal period functions. Essential reading for authors aiming to publish in top-tier cloud computing venues.

This resource models the complex, multi-stage review process for top-tier academic conferences, such as SOSP. It details the journey of a paper from initial submission through staged reviews, author rebuttal, and the final live committee decision. It helps users understand the structural dynamics of scholarly evaluation and how to strategically respond to reviewers' critiques.

This skill provides a comprehensive assessment framework for submitting manuscripts to the journal 'Systems Engineering Theory and Practice.' It helps researchers determine the manuscript's fit, required methodological depth (e.g., modeling, algorithms), structural adherence, and potential revision paths. It serves as a crucial guide to meet the high academic standards of a specialized systems engineering publication.