Skill UI

A comprehensive guide for writing the 'Related Work' section for top-tier speech conference papers. It teaches authors how to trace the academic lineage of a task across multiple venues (e.g., ISCA, ICASSP, NeurIPS), properly cite canonical corpora and metrics, and condense complex literature reviews into concise, contrastive clauses.

A comprehensive guide for authors submitting research to sensor network and information processing conferences. It instructs authors on how to write the 'Related Work' section by focusing on 'delta-first contrast' rather than simple citation listing, ensuring novelty is measured against both system-level and theoretical prior art.

This guide equips researchers with advanced strategies to anticipate and neutralize the highly specialized objections raised by environmental and resource economists. It covers core methodological pitfalls such as spatial confounding, hypothetical bias, leakage effects, sorting issues, and welfare overreach. By structuring the paper preemptively, authors can significantly increase robustness and dramatically improve the likelihood of successful publication.

A comprehensive guide for academic researchers on integrating robust economic theory into legal studies. It details how to model legal rules—such as deterrence, liability, and bargaining—to generate testable predictions, derive optimal welfare outcomes, or advance theory contributions in the Chicago tradition. Focuses on ensuring the model names a mechanism and does not eclipse the empirical design.

This comprehensive suite provides systematic checks to ensure spatial estimates are robust against methodological choices. It addresses core econometric issues such as Modifiable Areal Unit Problem (MAUP), boundary arbitrariness, spatial sorting, and spillover effects. Use this guide when submitting research to high-impact journals (like JUE) to demonstrate the reliability and stability of spatial relationships.

This guide provides a sophisticated framework for structuring the related work section when submitting research to KDD. It instructs authors on how to position their work within the deep academic lineage of data mining, comparing their novelty not just to prior KDD volumes, but also to major ML flagships (ICML, NeurIPS) and specialized venues (WWW, ICDM). Learn to articulate mechanism-level differences and avoid common citation traps.

A comprehensive guide for authors to position their ML systems research by mapping the vast, scattered literature across multiple venues (OSDI, SOSP, NeurIPS, open-source projects). It details how to audit novelty, handle fast-moving advancements, and write a defensible delta statement against both academic and industrial prior work.

This guide helps researchers determine if their project genuinely involves machine learning and computer system co-design. It outlines criteria, such as the "co-design test," and provides a routing table to decide whether the work belongs at MLSys compared to general systems conferences (OSDI, SOSP) or pure ML venues (ICML, NeurIPS).

This guide helps authors navigate the complex, multi-stage submission process for MobiCom. It emphasizes planning backward from the final paper cutoff, accounting for two distinct annual rounds, staggered review stages, and the critical impact of schedule slips on program editions. Essential for managing wireless and mobility research timelines.

This comprehensive guide equips authors with a structured framework for writing the Related Work section for top-tier NLP conferences (e.g., NAACL). It emphasizes tracking methodological, data, and task lineages, ensuring citation precision across Findings, workshops, and preprints, and culminating in a single, falsifiable "delta sentence" to precisely position the novel contribution.

This comprehensive guide helps authors determine if their materials science manuscript meets the high conceptual bar set by Nature Materials. It covers expected advances (e.g., new design principles, structure-property relationships), required experimental evidence (e.g., state-of-the-art characterization, mechanistic proof), and necessary house style guidelines for cross-disciplinary readability.

This guide assists researchers in determining whether a manuscript's topic, methodology, and theoretical contribution are appropriate for a specific theory-building management journal. It provides detailed criteria for evaluating conceptual relationships, suitable methods (SEM, experiment, case study), and appropriate re-routing suggestions for papers that are misaligned with the target journal's scope (e.g., pure math models, macro policy evaluation).