Skill UI

This guide assists users in structuring and rigorously defending the methodological design for demographic manuscripts. It provides detailed guidance on selecting and justifying advanced techniques—including life tables, decomposition analysis, survival models, Age-Period-Cohort (APC) modeling, and microsimulation. It emphasizes critical steps like establishing identification assumptions, addressing causal biases (selection and exposure), and formulating an adjudication test to rule out rival explanations, ensuring the research is methodologically robust.

This skill guides authors on submitting original, high-quality, and reusable Earth System datasets (observations, reanalysis, model outputs) as primary publications. It assesses whether the work fits the criteria of a 'data paper,' requiring open deposition in a FAIR repository with a persistent DOI, detailed provenance documentation, and rigorous quality control. It serves as a venue-selection and manuscript re-framing tool.

This guide helps researchers determine the optimal academic conference (ECAI, IJCAI, AAAI, etc.) for their AI contribution *before* starting to write. It provides structured tests (like the Model-swap test and General-audience test) and criteria (contribution shape, main track vs. application) to ensure the work is optimally matched to a specialized venue, maximizing the chances of acceptance and impact.

A comprehensive project management guide for submitting database systems papers to EDBT. It details the complexities of the multiple-cycle rolling publication model, covering everything from initial evidence lock and cycle selection to the five-step review arc (Submission, Author Feedback, Revision, etc.). Use this to backward-plan your research timeline and manage the entire academic publishing process.

A comprehensive guide for conducting advanced, methodologically rigorous data analysis for manuscripts in Entrepreneurship Theory and Practice (ETP). It covers specialized techniques such as survival analysis, handling endogeneity (IV, selection bias), advanced panel data models (Callaway–Sant'Anna), and rigorous qualitative coding schemes. The goal is to ensure that findings are theoretically robust and translate into actionable, venture-relevant insights, moving beyond simple p-value reporting.

This guide acts as the orchestrator for submitting scholarly articles to Harvard Law Review (HLR). It maps the complex, multi-stage lifecycle of legal academic writing, guiding users through every step from initial topic selection and preemption checks to argument structure, rigorous Bluebook citation, and final student-editor review. It is essential for understanding the unique, student-edited model and required submission strategy in legal academia.

This guide helps researchers evaluate whether a security or privacy project is a suitable fit for top-tier academic conferences like IEEE S&P. It covers critical fit tests, such as establishing a defensible threat model and ensuring end-to-end evidence closure. It also provides advice on SoK paper formats, routing among major security venues (USENIX, CCS, NDSS), and adhering to submission rules like one-year embargoes.

This skill acts as a comprehensive router for developing academic manuscripts aimed at the International Economic Review (IER). It does not write the content but diagnoses the current bottleneck in the writing process. It guides the user through the entire rigorous workflow—from initial topic selection and theory modeling to empirical identification, robustness checks, and submission readiness—ensuring the paper is structured for maximum academic impact.

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.

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.

This guide helps researchers navigate the complex landscape of theoretical computer science conferences. It explains the crucial distinction between 'conceptual novelty' (favored by ITCS) and 'deep technical results' (favored by STOC/FOCS). Use this to determine if your research contribution is a new idea, model, or connection, or if it is the deepest, most polished theorem on an established problem.

A comprehensive routing guide for developing and refining academic manuscripts targeting the Journal of the European Economic Association (JEEA). This skill diagnoses bottlenecks at every stage—from initial topic selection and theory modeling to empirical robustness checks and rebuttal strategy—ensuring the submission meets the high general-interest standards of top-tier economics journals.