Skill UI

This guide details the strict requirements for data transparency and reproducibility when submitting manuscripts to the Population and Development Review (PDR). It covers creating data availability statements, depositing materials in FAIR repositories, documenting code with versions, and managing restricted data access, ensuring adherence to modern research integrity standards.

A comprehensive guide for authors handling the conditional acceptance stage of POPL. It details the two-gate process: first, satisfying the mandatory committee revisions, and second, de-anonymizing and formatting the paper for the official PACMPL journal issue. Covers metadata management, ORCIDs, open access rights, and logistical planning for the final conference talk.

This guide details the process of achieving ACM badges (Available, Functional, Reproduced) for academic artifacts at SenSys. It emphasizes creating a hardware-optional evaluation path, allowing reviewers to verify results and functionality without access to the original testbed. Key steps include implementing graded replay tiers, documenting data provenance (energy, traces), and performing smoke-runs.

A comprehensive guide for authors submitting technical papers to top-tier conferences, detailing how to effectively partition content between the main paper body and supplementary artifacts. It emphasizes the critical rule that all decision-making evidence (e.g., headline results, key performance metrics) must reside within the limited page budget of the main submission, ensuring the work is judgeable even without accessing raw data.

This comprehensive guide details the mandatory production steps required after a research paper is accepted for publication in Springer LNCS. Key tasks include de-anonymizing the manuscript (restoring true names, affiliations, and funding details), applying the specific llncs.cls format, finalizing metadata with ORCIDs, integrating reviewer feedback, permanently linking artifacts using DOIs, and completing the CC-BY open-access licensing forms.

A comprehensive guide for conducting and reporting rigorous empirical analysis in academic research, particularly in finance and accounting. It covers selecting appropriate estimators (e.g., DiD, 2SLS, RDD), handling fixed effects, ensuring statistical robustness through placebo and alternative testing, and fulfilling strict data-authenticity and code-access requirements required by top-tier journals.

This skill provides a comprehensive guide for authors targeting The Cryosphere journal. It details the journal's scope (ice sheets, permafrost, sea ice), high methodological standards (FAIR data, uncertainty quantification), and the unique EGU interactive public peer-review process. Use this tool to determine if a cryospheric study is suitable for this specific open-access venue.