Skill UI

A comprehensive project management guide for the entire academic lifecycle of submitting a paper to a top-tier conference like AISTATS. It maps all crucial milestones—from initial venue fit and evidence freezing to abstract submission, review discussion, and final camera-ready publication—providing backward-planning heuristics and risk assessment to ensure timely and high-quality submissions.

This guide provides comprehensive rules for authors revising technical papers for top AI/Statistics conferences like AISTATS. It emphasizes achieving statistical rigor, explicitly stating assumptions, pairing every claim with proof or evidence, ensuring conciseness (e.g., adhering to an 8-page limit), and maintaining double-blind academic style. Perfect for PhD students or researchers preparing manuscripts for highly technical review.

This guide provides comprehensive methodological frameworks for designing rigorous empirical studies suitable for top-tier academic journals. It helps researchers match theoretical claims (e.g., causal effects, cross-level dynamics) to appropriate designs (experiments, panel data, qualitative analysis). It details how to proactively address major threats like Common-Method Bias, Endogeneity, and inconsistent levels of analysis, ensuring high internal and external validity.

A guide for creating high-impact academic exhibits for literature reviews (e.g., Annual Reviews of Economics). It teaches how to synthesize findings into structured formats, including 'Who-found-what' summary tables, conceptual framework diagrams, and meta-evidence plots. The focus is on synthesizing existing knowledge across studies, not presenting original estimates. Essential for communicating complex, cross-field research findings to non-specialists.

A comprehensive guide for authors preparing manuscripts for the International Conference on Artificial Intelligence and Statistics (AISTATS). It advises on whether the paper's contribution is statistically grounded and theory-backed, guiding framing, evidence presentation, and understanding reviewer expectations in statistical machine learning.

This guide helps authors assess if their host-microbe or microbiome study meets the high mechanistic and significance standards required for top-tier journals. It covers scope fit, required level of mechanistic depth (beyond mere correlation), necessary in vivo validation, and adherence to specific journal formats like STAR Methods.

This skill guides the architectural structure and rhetorical flow of a Critical Inquiry (CI) essay. Instead of following traditional IMRaD formats, it focuses on shaping the narrative arc: how to hook a non-specialist reader, build intellectual pressure, make a clear intervention (the turn), and conclude with expansive new questions. Ideal for long-form humanistic prose that needs to guide a cross-field audience through complex arguments.

This tool provides a comprehensive pre-submission checklist tailored for submitting manuscripts to high-tier academic journals. It verifies adherence to complex guidelines, covering manuscript length, abstract structure, citation formats (footnotes and real references), data reproducibility requirements, and double-blind anonymity protocols. It helps authors catch technical errors and formatting inconsistencies before official submission.

A comprehensive guide for academic authors on designing high-quality, ethically sound, and publication-ready exhibits for anthropology manuscripts. It covers technical requirements (file formats, figure caps), ethical obligations (consent, heritage rights, dignity), and scholarly presentation principles, ensuring exhibits strengthen the argument and withstand peer scrutiny.

A comprehensive guide for authors preparing the final, camera-ready version of a CVPR accepted paper. It details the multi-channel publication requirements (CVF open access, IEEE Xplore), the necessary steps for de-anonymization, ensuring timely dataset release, optimizing presentation formats (Oral, Poster), and conducting rigorous quality assurance checks before final submission.

A comprehensive guide on structuring responses to peer reviews for top-tier academic conferences (e.g., DAC, ICCAD). It provides strategies for writing rebuttals, transforming reviews into actionable fixes, and adapting the response style for both conference resubmission and journal formats, emphasizing evidence over argument.

A comprehensive guide for researchers deciding the optimal conference venue for their NLP project. It analyzes whether a project is best suited for EACL, ACL, EMNLP, NAACL, or other specialized venues (like LREC-COLING or COLM). The guide considers scope, contribution type (e.g., analysis vs. new system), temporal constraints, and the trade-offs between long and short paper formats.