Skill UI

Provides guidelines for creating robust, verifiable, and reusable Electronic Design Automation (EDA) artifacts for submission to academic conferences like DAC. The focus shifts from chasing conference badges to ensuring community trust and scientific reproducibility. Key elements include pinning the toolchain, using standard benchmarks, providing clear setup instructions, and archiving the release in a DOI-issuing repository.

A comprehensive guide for authors preparing the final, camera-ready manuscript for major academic conferences. It details crucial post-acceptance steps, including systematically de-anonymizing the paper, restoring author affiliations and funding details, correctly implementing ACM copyright forms and DOI stamps, adhering to strict page budgets, and verifying all metadata for proper archival indexing in the ACM Digital Library.

This guide provides a comprehensive checklist for evaluating Electronic Design Automation (EDA) research manuscripts for top-tier conferences like DAC. It emphasizes the necessity of using standard, recognized benchmark suites (e.g., ISPD, EPFL, TAU), comparing results against the true State-of-the-Art (SOTA), reporting full PPA metrics and runtime, and implementing ablation studies to ensure fairness, reproducibility, and generalizability, especially for ML-based methods.

A detailed guide on how to structure and position the 'Related Work' section for high-stakes academic conferences like DAC, ICCAD, and DATE. It teaches authors to move beyond simple surveys and instead create a 'delta statement,' explicitly defining the limitations of prior art and quantifying the unique advances of the current work in terms of Quality of Results (QoR).

A comprehensive guide for establishing research reproducibility in Electronic Design Automation (EDA). It details best practices for pinning benchmark suites, disclosing specific tool versions (open/commercial), documenting technology nodes (PDKs), and handling stochastic data flows (seeds, variance). Essential for ensuring that semiconductor design claims and ML-for-EDA results are credible and verifiable by the academic community.

This guide provides crucial advice for authors submitting to conferences with severe page limitations, such as DAC. It teaches the 'decision-criticality test' to help authors allocate content, ensuring that only core, review-mandated arguments remain in the main body, while supporting details and code can be moved to external repositories.

This comprehensive guide assists researchers and practitioners in selecting the optimal venue and track (e.g., DAC, ICCAD, ISCA) for their electronic design automation (EDA) or chip-design project. It clarifies the critical distinction between the archival Research Manuscript track and the industry-facing Engineering Track at DAC, emphasizing the need to frame contributions using measurable Quality of Results (QoR) improvements, novel algorithms, or real-world industrial lessons.

A comprehensive guide for authors drafting research manuscripts for the ACM/IEEE DAC conference. It teaches how to structure a deep, measurable contribution within a strict six-page, double-column format. Key principles include front-loading the contribution, stating results as a clear QoR delta (PPA), adhering to academic constraints (double-blind review, third-person citation), and prioritizing data tables over extensive background prose.

This comprehensive guide details the rigorous standards for conducting and reporting advanced demographic analyses. It covers essential techniques, including constructing accurate rates, performing decomposition, generating life tables, and handling event history/survival data. The core focus is on methodological rigor, ensuring the reproducibility of results, and honestly reporting uncertainty (e.g., confidence and credible intervals) to meet the standards of expert peer review.

A guide detailing the rigorous standards for data availability and code reproducibility required for academic manuscripts, particularly in demography. It emphasizes depositing data in FAIR-aligned repositories with persistent identifiers (DOI), providing master scripts with full version control, and documenting restricted data access conditions to ensure scientific transparency.

This guide helps researchers position their manuscripts effectively within the broader field of population science. It outlines how to frame a contribution to engage the general demographic conversation, rather than remaining confined to a narrow applied literature. It emphasizes identifying open questions, defining the knowledge gap, and framing the study's move to satisfy both specialists and general demographers.

A comprehensive guide for authors responding to major journal revisions (R&R), particularly in demography. It outlines strategies for addressing expert reviewer critiques, reconciling conflicting methodological assumptions (like rates or identification), and defending the core demographic substance using rigorous evidence. This skill ensures the response is structured, respectful, and scientifically robust.