Skill UI

A specialized guide for authors targeting top-tier academic journals in moral, political, and legal philosophy. It assesses manuscript rigor, guiding authors on crafting original normative arguments, engaging with rival theories, and distinguishing between theoretical contributions and mere case studies. It helps authors determine if their work meets the high standards required for publication, especially when choosing between related venues.

This guide provides a rigorous methodology for articulating the unique dual contribution of a paper in Entrepreneurship Theory and Practice (ETP). It teaches authors how to match specific theoretical claims (e.g., new constructs, boundary conditions) with actionable, mechanism-derived practice implications, ensuring the contribution is earned by the evidence.

A comprehensive guide for conducting advanced, methodologically rigorous data analysis for manuscripts in Entrepreneurship Theory and Practice (ETP). It covers specialized techniques such as survival analysis, handling endogeneity (IV, selection bias), advanced panel data models (Callaway–Sant'Anna), and rigorous qualitative coding schemes. The goal is to ensure that findings are theoretically robust and translate into actionable, venture-relevant insights, moving beyond simple p-value reporting.

This guide provides a comprehensive strategy for navigating the rigorous developmental review cycle of top-tier academic journals. It teaches users how to interpret complex decision letters (Desk Reject, Major R&R), identify binding concerns from both editors and reviewers, and strategically determine if a revision effort is worthwhile before resubmission.

This comprehensive router guides researchers through the entire manuscript lifecycle for submissions to Entrepreneurship Theory and Practice (ETP). It determines the optimal sequence of specialized skills needed at every stage, from initial topic selection and theoretical development, through rigorous data analysis, contribution framing, to final submission and rebuttal preparation. Use this when you need to diagnose a bottleneck or determine the next necessary step in your academic writing process.

This guide provides a comprehensive strategy for authors submitting NLP and Computational Linguistics papers to EACL. It covers conference positioning, manuscript re-framing from journal or arXiv styles, and establishes rigorous evidence standards. It helps authors ensure their work aligns with the European ACL community focus, optimizing the paper's narrative structure for high acceptance rates.

This skill guides authors on strategically positioning their AI/ML manuscripts for the European Conference on Artificial Intelligence (ECAI). It provides deep insights into the conference's scope, required contribution framing (e.g., algorithm, system, theorem), evidence standards, and how to tailor the narrative for a general European AI readership. Use it when targeting ECAI or needing to refine a paper from a journal or arXiv style into a selective conference submission.

This skill provides comprehensive guidance for authors submitting Information Retrieval (IR) manuscripts to the European Conference on Information Retrieval (ECIR). It assists in strategically positioning the work by defining scope fit, structuring the evidence (e.g., baselines, error analysis), aligning with the rigorous standards of the European IR community, and guiding the differentiation of the contribution against similar top-tier venues like SIGIR or CIKM. Essential tool for pre-submission refinement.

This skill guides authors through the process of evaluating if their general economics manuscript is suitable for high-tier venues like the European Economic Review (EER). It focuses on re-framing niche research to appeal to a broad readership, ensuring methodological rigor, and meeting the stringent standards for both empirical evidence and theoretical contribution, while also detailing common desk-reject triggers.

This guide provides a comprehensive framework for designing rigorous, falsifiable system evaluations for academic research papers. It details best practices across four critical evidence layers: end-to-end performance, mechanism decomposition, operational cost, and boundary testing. Learn how to ensure workload realism, maintain baseline fairness, structure your experiment matrix, and avoid common pitfalls to meet top-tier systems research standards.

A comprehensive guide for authors on how to position novelty within top-tier systems literature (like EuroSys, SOSP, OSDI). It teaches authors to move beyond superficial citations by defining concrete 'technical deltas,' systematically covering neighboring research venues, and structuring the argument based on problem dimensions rather than chronology. Essential for ensuring rigorous academic positioning.

A comprehensive framework for ensuring rigorous scientific reproducibility in systems papers. It details how to establish a full provenance ledger (tracking hardware, software commits, and workloads), manage performance variance through repeated runs and statistical reporting, and implement automated pipelines so that all reported figures can be regenerated from raw data.