Skill UI

A comprehensive guide for researchers on preparing, archiving, and declaring the availability of research artifacts (datasets, code, and platforms) for academic publication. It details best practices for provenance tracking, ensuring reproducibility, and meeting the standards required for community contribution awards.

A comprehensive guide for researchers deciding the appropriate academic venue for their internet measurement work. It utilizes the 'measurement-first test,' ethical gate checks, and venue routing tables to help determine if a paper belongs at ACM IMC, SIGCOMM, NSDI, or a specialized journal, ensuring the core contribution is properly showcased.

This comprehensive guide teaches researchers how to sharply position their economic manuscripts. It helps identify the unique contribution (the 'delta') relative to the closest existing literature, especially when targeting high-impact journals like the IMF Economic Review (IMFER). It emphasizes connecting academic findings to global policy debates and differentiating the work from related fields (JIE, JIMF).

A comprehensive guide for authors on how to structure the 'Related Work' section for top-tier networking conferences (like INFOCOM). It teaches authors to move beyond simple citation catalogs and instead adopt a 'delta-first' approach, clearly contrasting their work's novelty and unique contribution against the entire breadth of existing networking literature, including systems, theory, and flagships.

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 guide provides comprehensive strategic advice for authors submitting manuscripts related to Artificial Intelligence, Constraint Programming, and Operations Research (AI/OR) to top-tier conferences like CPAIOR. It helps refine scope, structure, evidence standards, and narrative framing to meet highly specialized reviewer expectations, ensuring the paper is positioned as a solid hybrid optimization contribution.

This skill helps authors determine if their manuscript is suitable for the International Conference for High Performance Computing, Networking, Storage and Analysis (SC). It provides comprehensive guidelines on framing the work, establishing the evidence bar (requiring scale, performance portability, and systems impact), and positioning the contribution for a top-tier HPC flagship venue. Use it for strategic venue selection and manuscript re-framing.

This resource guides authors on positioning their research for the International Conference on Automated Machine Learning (AutoML). It helps evaluate if a manuscript—especially those involving NAS, HPO, or meta-learning—is a suitable fit for the venue. The focus is on framing contributions that enhance the automated search process, robust methodologies, and system pipelines, rather than solely relying on final leaderboard scores.

A comprehensive guide for authors targeting top-tier conferences like ICAPS. It assists in re-framing automated planning and scheduling manuscripts, providing detailed advice on structuring the contribution, identifying necessary empirical/theoretical evidence, optimizing scope vocabulary, and strategically positioning the work against related venue submissions. Use this tool for venue selection, manuscript calibration, and strengthening the submission narrative.

This skill guides authors on positioning their computer science manuscripts for the International Conference on Computer Aided Verification (CAV). It provides a comprehensive framework for assessing conference fit, framing the contribution, strengthening evidence, and navigating the specific requirements (like formal correctness and tool benchmarks) of top-tier formal verification venues, ensuring submissions meet community expectations.

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 guide provides a comprehensive framework for authors targeting elite AI/ML conferences like ICML. It covers academic positioning, identifying core ML contributions, structuring the narrative (Problem, Why Now, What is New), and establishing a rigorous evidence bar, including baselines and ablations. It also advises on distinguishing the work from closely related venues (e.g., NeurIPS, ICLR).