Skill UI

This skill guides authors in transforming raw experimental data into a compelling, logically structured scientific narrative suitable for top-tier journals like JACS. It teaches how to explicitly define the 'chemical advance' by building an evidence-backed claim chain: Problem $ ightarrow$ Advance $ ightarrow$ Evidence $ ightarrow$ Significance. It ensures that every claim of novelty is rigorously supported by data and compares the work explicitly against the closest prior art.

This guide helps researchers rigorously evaluate their chemical findings against the high standards of flagship journals like JACS. It teaches how to assess both the 'Advance' (novelty and importance) and 'Breadth' (general applicability) of a discovery, ensuring the manuscript is pitched correctly to avoid subfield-only publications. It also advises on choosing the appropriate format (Article vs. Communication).

A comprehensive guide for researchers on sharpening the theoretical contribution of academic manuscripts, especially for specialized journals like JAIS. It teaches authors how to transition from describing 'what they did' to articulating 'what the field now knows,' ensuring the work is generative, challenging, and structurally aligned with its chosen category (Theory, Empirical, etc.).

This guide teaches the strategic art of positioning a theoretical paper for top-tier academic journals, specifically focusing on the requirements of the Journal of the Association for Information Systems (JAIS). It details how to structure the introduction to establish a 'live conversation,' cite the field's canon, and justify the contribution's unique place, moving beyond simple gap-spotting. Mastering positioning is crucial for passing the editor's initial fit assessment.

This guide provides comprehensive methodological advice for academic submissions in Information Systems (IS), particularly for journals like JAIS. It covers selecting and rigorously defending diverse research designs—including behavioral experiments, causal inference (Economics of IS), design science, qualitative studies, and literature reviews. Use it when you need to validate the suitability of your methodology against your research claims and underlying phenomena.

This comprehensive guide provides a rigorous framework for developing original theoretical contributions in Information Systems (IS) research, particularly for top-tier academic journals. It outlines various theoretical genres—including behavioral mechanisms, economic models, and design theories—and teaches authors how to move beyond mere description. Key principles include constructing novel, well-defined constructs; identifying clear boundary conditions; and executing deep 'round-trip' theoretical integrations to ensure the contribution is genuinely original.

This comprehensive guide is designed for researchers planning submissions to highly specialized academic journals, such as JAIS. It provides a rigorous framework to test whether an Information Systems (IS) topic is theoretically load-bearing, how to select the precise manuscript category (e.g., Theory, Research Article, Literature Review), and how to frame the work to meet high academic standards. Essential for pre-submission planning.

A comprehensive guide for authors submitting research to sensor network and information processing conferences. It instructs authors on how to write the 'Related Work' section by focusing on 'delta-first contrast' rather than simple citation listing, ensuring novelty is measured against both system-level and theoretical prior art.

This guide outlines the mandatory data and code deposit policy for articles published in the Journal of Applied Econometrics (JAE). Authors must submit a complete, non-confidential set of input data (plain ASCII/CSV), programs that replicate every result, and a detailed README file. It emphasizes strict adherence to archival format rules, ensuring the research is fully reproducible for the academic community.

This guide provides a structured protocol for authors writing methods papers in statistics or econometrics. It teaches how to define the precise 'delta' (incremental contribution) of a new method by explicitly referencing 3-6 existing state-of-the-art techniques. It emphasizes positioning the work across both traditional econometric theory and modern machine learning/data science literature, ensuring the contribution is clearly stated against named prior methods, not as a general survey.

This guide helps authors structure and explicitly articulate the theoretical contribution of their work, specifically tailored for high-impact journals like the Journal of Business Venturing (JBV). It teaches how to move beyond mere empirical findings to define the theoretical shift, challenge existing assumptions, and specify critical boundary conditions for the entrepreneurial phenomenon.

A comprehensive guide for authors preparing artifacts (code, data, models, etc.) for submission to the Journal of Computer-Aided Design & Computer Graphics (JCAD&CG). It details best practices for ensuring research reproducibility, writing honest availability statements, and managing artifacts during the double-blind review process, focusing on ethical standards regardless of specific journal policy.