Skill UI

This skill guides authors through defending complex research designs in Criminology. It covers advanced quantitative methods (e.g., DiD, IV, RDD, fixed effects), longitudinal analyses, and qualitative case studies. It teaches how to establish causal identification, address selection bias, and argue against rival theories, ensuring methodological rigor for high-impact academic submissions.

A comprehensive guide for creating rigorous, self-contained, and scientifically accurate tables and figures for academic manuscripts, particularly in the field of criminology. It details best practices for visualizing complex statistical results, including age-crime curves, trajectory plots, survival analyses, and spatial hot-spot maps. The focus is on ensuring evidence is clear, reproducible, and communicates the research findings effectively to expert reviewers.

This resource provides a comprehensive fit-check and framing guide for submitting research to Critical Care Medicine, the flagship journal of SCCM. It outlines the high academic and clinical bar required for studies on the critically ill, covering necessary focus on clinically important advances, adherence to specific reporting guidelines (e.g., CONSORT, STROBE), and rigorous methodological expectations for ICU-related research.

This guide provides comprehensive standards for achieving auditability and transparency in Computer-Supported Cooperative Work (CSCW) research. It teaches researchers how to document non-shareable evidence, such as field interviews, log traces, and system deployments, by focusing on detailed analysis trails, decision logs, and rigorous process documentation, thus strengthening academic rigor.

A comprehensive methodological guide designed for researchers writing economics and finance papers. It specifies the rigorous requirements for conducting heterogeneity analysis, emphasizing the need for theoretical justification, sufficient sample size, and alignment with the underlying economic or institutional mechanisms (especially within the Chinese finance and trade context).

A comprehensive guide on structuring and writing the 'Related Work' section for elite computer vision conferences like CVPR. It addresses the high velocity of academic literature, teaching advanced methods like defining explicit technical deltas, structuring arguments by research question, maintaining citation hygiene, and handling complex reviewer feedback on originality and concurrency.

This skill provides a comprehensive framework for assessing whether a research project meets the academic scope of general population science. It guides users to shift focus from mere data usage to advancing core demographic questions concerning fertility, mortality, migration, and population change, helping to frame the contribution for maximum impact.

A comprehensive guide for positioning novel research in elite computer vision and AI conferences (e.g., ECCV). It details how to structure the related work section by tracing academic lineage, handling concurrent work, verifying citation hygiene across venues (CVPR, ICCV, ECCV), and transforming simple bibliographies into strong, argumentative prose. Essential for improving novelty visibility.

This guide outlines the rigorous standards for creating a research replication package required by major academic journals (like The Economic Journal). It details the necessary components—including a comprehensive README, raw data, executable master code, and output logs—to ensure that all figures, tables, and results are fully reproducible by third parties. Crucial for pre-acceptance checks and maintaining academic rigor.

This guide assists researchers in structuring and rigorously developing the economic model or mechanism for academic papers. It provides best practices for moving beyond mere empirical findings, ensuring that every result is tied to a clear, testable economic theory, whether through minimal-model discipline or full general equilibrium analysis. Essential for submissions to top-tier economics journals.

A comprehensive skill guide designed to help researchers assess the suitability of their economics manuscripts for submission to 《Economic Review》. It covers journal positioning, required empirical rigor, structural expectations (abstract, citation style), common rejection pitfalls, and advice on necessary revisions and alternative journals. This tool is crucial for navigating academic publishing standards in Chinese economics.

This guide outlines the creation of a complete, verifiable research package for economic policy manuscripts. It ensures that all empirical, experimental, or simulation results are fully reproducible by providing raw data guides, cleaning scripts, analysis code, and a single 'master' script that runs end-to-end. This process is critical for academic acceptance, allowing reviewers and discussants to independently verify every figure, table, and key number reported in the paper.