Skill UI

This guide helps researchers assess the scope and fit of their international macro-finance topics for the IMF Economic Review (IMFER). It emphasizes the necessity of linking rigorous academic findings to explicit, global policy relevance, especially concerning open economies, capital flows, and global spillovers.

This router guides authors through the complex, multi-stage process of optimizing a manuscript for submission to the IMF Economic Review (IMFER). It systematically diagnoses bottlenecks—from topic selection and literature positioning to model robustness and rebuttal strategy—ensuring the paper meets the high standards of international macroeconomics and policy relevance.

This comprehensive skill is a guide for authors to assess if their Information Systems (IS) manuscript is suitable for the prestigious Information Systems Research (ISR) journal. It analyzes the journal's rigorous requirements, including the need for genuine IS theoretical contributions, quantitative methodology (econometrics, analytical modeling), and adherence to specific submission standards. It functions as a pre-submission checklist and re-framing tool, helping authors understand the required depth in theory, evidence, and structure before targeting the venue.

This skill helps authors evaluate whether their research—particularly in algorithms, optimization, or machine learning for Operations Research (OR)—meets the high computational standards required by the INFORMS Journal on Computing (IJOC). It acts as a fit/venue-selection tool, guiding authors on methodological rigor, computational evidence, and structuring their submission to maximize acceptance chances.

A comprehensive guide for authors targeting the International Conference on Knowledge Capture (K-CAP). It assists in positioning the manuscript, re-framing the contribution, and verifying the evidence bar. The tool emphasizes that the work must focus on knowledge acquisition, engineering, and operationalizing structured knowledge systems, rather than merely using them in a general context.

This skill provides a comprehensive framework for academic writers aiming to submit manuscripts to specialized international economics and trade journals. It helps users assess their paper's alignment with the target journal's scope, key research themes (e.g., open economy, GVCs, cross-border e-commerce), required methodology (e.g., empirical models, international comparability), and structural standards. It is crucial for preventing manuscript rejection due to scope mismatch or formatting errors.

A comprehensive guide for conducting empirical data analysis in International Relations (IR). This skill addresses specific econometric challenges inherent to IR data, such as dyadic dependence, state selection bias, and gravity modeling. It guides users through rigorous reporting standards, advanced statistical methods, and verification-readiness protocols required by top-tier academic journals.

A comprehensive framework for strengthening International Relations (IR) manuscripts, particularly for top-tier journals. It guides researchers through rigorous design requirements, including causal identification in dyadic/network data, structured case selection and process tracing, experimental planning (surveys/conjoint), and formal-empirical linkages. The focus is on ruling out rival explanations and establishing robust empirical claims.

A guide for designing and structuring empirical tables and figures for submissions to International Organizations (IOs). Focuses on meeting strict word limits, ensuring exhibits are self-contained, reproducible, and clearly separating core arguments (main text) from supporting details (supplementary material). Best practices include explicit unit labeling, prioritizing effect plots over dense tables, and guaranteeing that all displayed numbers match the original analysis code.

This guide outlines the mandatory data and code requirements for publishing manuscripts in International Organizations (IOs). It details the rigorous process—from conditional acceptance to final publication—which requires authors to prepare complete, reproducible packages. Key steps include submitting data/code, undergoing external re-running of quantitative results, verifying formal model proofs, and depositing materials with a DOI in the IO Dataverse.

This guide models the rigorous, double-blind, and per-track evaluation process for submissions to the IPSN conference. It details how papers are judged based on the soundness of information-processing methods, the reality of collected evidence (e.g., measured energy, latency), and the novelty of sensing approaches. It also clarifies key differences from other academic venues like SenSys and OpenReview, guiding authors on what evidence is crucial for acceptance.

This guide helps researchers determine the primary focus of their work—whether it lies in Information Processing (algorithms, estimation) or Sensor Platforms, Tools, and Design Methods (hardware, deployment). It provides a structured methodology for selecting the most appropriate academic venue (e.g., SenSys, MobiSys, INFOCOM) based on the project's technical contribution and maturity.