Skill UI

This comprehensive guide provides rigorous econometric strategies for establishing parameter identification, crucial for structural modeling and causal inference. It details how to prove that model parameters are uniquely determined by the observed data, moving beyond mere estimation convergence or external calibration. Essential for advanced empirical research and addressing stringent peer review standards.

A comprehensive guide detailing the specific conventions required for submitting high-quality, data-driven papers in computer architecture to top-tier conferences like ISCA. It covers structuring the core argument around a single insight, developing measured motivation sections, describing mechanisms with checkable precision, and calibrating quantitative claims with empirical data and instruments. Essential for academic research communication in hardware design.

This guide assists researchers in transforming vague datasets or observations into robust, positive, and economics-driven research questions suitable for prestigious accounting journals (like JAE). It teaches key concepts, such as identifying economic friction, distinguishing between normative and positive questions, establishing plausible identification strategies, and mapping the topic to specific academic domains.

A guide for developing robust, theory-driven hypotheses for top-tier international business journals (e.g., JIBS). It focuses on specifying cross-level logic (country/culture $\rightarrow$ firm/individual), identifying boundary conditions, and grounding arguments in established IB theoretical traditions. It teaches how to move beyond merely running data in a foreign context to making the international environment itself a causal variable.

This specialized tool guides researchers in critically evaluating if an academic idea or dataset qualifies as a genuine, theory-contributing international-business phenomenon. It implements a rigorous multi-gate test, analyzing the phenomenon, level of analysis, international theory contribution, and cross-national variation needed for high-impact publishing in journals like JIBS.

This guide helps researchers determine if their manuscript is suitable for highly quantitative, theory-driven journals. It emphasizes evaluating the core deliverable—whether it consists of a formal model, provable properties, and an algorithm, rather than relying solely on empirical data or policy recommendations. Essential for optimizing journal submission strategy.

This guide provides an advanced framework for conducting rigorous causal inference and policy evaluation, essential for academic journals. It covers state-of-the-art methods including DiD, RDD, Synthetic Control, and experimental analysis. The core focus is moving beyond simple p-values to estimate effect magnitudes in tangible 'decision units' (e.g., dollars per household, percentage points). It mandates comprehensive stress-testing, including pre-trend checks, placebo outcomes, and detailed subgroup heterogeneity analysis, ensuring results are immediately actionable by regulators.

Provides a comprehensive, time-sensitive playbook for authors responding to reviews (rebuttals) at MLSys. It details how to triage objections, prioritize critical missing measurements, address systems objections regarding workload representativeness and baseline tuning, and structure anonymous, data-driven replies within a compressed rebuttal window.

This comprehensive guide outlines the specific requirements for submitting high-level, synthesis-driven review articles to Nature Reviews Earth & Environment. It details the journal's unique model, which emphasizes comprehensive synthesis, expert adjudication of literature, and setting future research agendas, rather than reporting primary data. The guide covers scope, mandatory structure, and the necessary pre-submission inquiry process.

This skill automates the creation of professional, multi-element Excel dashboards from raw CSV or tabular data. It structures the output with a dedicated 'Dashboard sheet' that serves as the primary landing view. Features include formula-driven KPI cards, linked charts, sparklines, and semantic conditional formatting. It is ideal for generating executive, analytics, or performance dashboards, ensuring that the user sees immediate, actionable insights without needing to navigate raw data sheets.

A comprehensive guide for researchers in Pervasive Computing on ensuring the verifiable and reproducible nature of sensing data-driven claims. It mandates strict documentation practices covering dataset availability statements, sensing provenance (devices, labeling, preprocessing), cross-subject evaluation (LOSO), and consistency between published results and source data, adhering to ethical guidelines.

This guide details the strategic process for writing a constrained, data-driven rebuttal for competitive academic conferences (such as PPoPP). It teaches authors how to structure responses to address scaling questions, compare results against baselines, correct factual misreadings, and maximize impact within strict word and time limits. Focus on evidence, not argument.