Skill UI

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.

A comprehensive guide for positioning and refining computer vision manuscripts for the IEEE/CVF International Conference on Computer Vision (ICCV). This skill helps authors assess conference fit, structure evidence, perform benchmarking, and adopt the necessary narrative for a flagship CV submission, covering topics from foundation models to video recognition.

This skill provides a comprehensive framework for academic writers aiming to submit manuscripts to specialized international economics and trade journals. It helps users assess their paper's alignment with the target journal's scope, key research themes (e.g., open economy, GVCs, cross-border e-commerce), required methodology (e.g., empirical models, international comparability), and structural standards. It is crucial for preventing manuscript rejection due to scope mismatch or formatting errors.

A specialized tool designed for researchers targeting the International Journal of Plasticity (IJP). It guides authors on whether their manuscript—especially those related to plastic deformation—is a strong fit, focusing on the necessity of developing a rigorous, constitutive model and validating it against experimental data. Use this skill to re-frame observational studies into impactful theoretical contributions.

This skill guides authors on how to strategically position their research for the INTERSPEECH conference. It covers core topics such as speech recognition, synthesis, paralinguistics, and audio-language modeling. Use it to re-frame manuscripts from journal or arXiv styles into a selective CS conference narrative, ensuring the work meets the rigorous standards of audio-specific evaluation, datasets, and error analysis expected by the field.

A comprehensive guide for researchers submitting work to INTERSPEECH. It details how to package and manage various artifacts—including code, audio samples, and trained models—through the conference lifecycle. The document emphasizes maintaining anonymity during review, ensuring scientific reproducibility, managing complex data licenses, and adhering to ethical guidelines for voice data and synthetic media release.

A comprehensive guide for researchers submitting to major speech conferences (like INTERSPEECH). It details how to harden the reproducibility of speech results, covering crucial 'decay channels' such as corpus versions, text normalization rules (WER), objective metrics (EER), subjective protocols (MOS), and model stochasticity. The guide emphasizes pinning specific toolkits, commit hashes, configurations, and hardware details to ensure scientific rigor and verifiability.

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 outlines the mandatory data and code requirements for publishing manuscripts in International Organizations (IOs). It details the rigorous process—from conditional acceptance to final publication—which requires authors to prepare complete, reproducible packages. Key steps include submitting data/code, undergoing external re-running of quantitative results, verifying formal model proofs, and depositing materials with a DOI in the IO Dataverse.

This guide models the rigorous, double-blind, and per-track evaluation process for submissions to the IPSN conference. It details how papers are judged based on the soundness of information-processing methods, the reality of collected evidence (e.g., measured energy, latency), and the novelty of sensing approaches. It also clarifies key differences from other academic venues like SenSys and OpenReview, guiding authors on what evidence is crucial for acceptance.

This guide provides rigorous guidelines for structuring and validating experimental results in computer architecture papers. It covers essential aspects like declaring simulation methodology contracts, ensuring result reproducibility through manifest files, selecting representative workloads, and performing detailed attribution and sensitivity analyses to distinguish true architectural gains from modeling artifacts.

This guide ensures that the chosen research methodology genres (e.g., behavioral empirical, analytical modeling, design science) are correctly aligned with the core research claim or phenomenon. It helps researchers identify the necessary design rigor, appropriate identification strategies (like DiD or IV), and the level of analysis required to ensure the study can genuinely support its contribution in the IS domain.