Skill UI

This skill guides authors on strategically positioning data mining research for the SIAM International Conference on Data Mining (SDM). It helps adjust manuscript framing, emphasizing mathematical rigor, statistical depth, and algorithmic contribution suitable for top Computer Science venues. Use it for venue selection, understanding reviewer expectations, and structuring evidence to meet the high standards of SIAM-style research.

A comprehensive guide for positioning academic papers in highly competitive technical fields, particularly networking and distributed systems. Learn how to systematically sweep major venues (SIGCOMM, NSDI, MobiCom, etc.), rigorously prove every prior work via dblp/ACM DL, and articulate clear novelty by distinguishing core mechanisms from mere engineering polish. Essential for top-tier conference submissions.

This skill assists researchers in strategically positioning their computer graphics and visualization research. It evaluates whether a contribution is truly "graphics-shaped" (demanding visual results and advancing graphics axes) and recommends the optimal venue (e.g., SIGGRAPH, CVPR, CHI, EGSR) and submission track (Dual-track or Journal-only) based on the nature and maturity of the work. It provides a crucial, high-leverage decision framework before committing to a submission.

This guide teaches researchers how to move beyond basic literature reviews by positioning their work within a specific, ongoing scholarly debate. It provides a framework to identify the core scholarly 'conversation,' pinpoint the theoretical gap (mechanism or tension), and articulate a novel move that advances the field's understanding, crucial for high-impact academic journal submissions.

A specialized guide for structuring the literature review of a sociological methods manuscript. It teaches authors how to position their contribution not against the topic, but against established methodologies. Users learn to map their work against prior estimators, cross-discipline techniques (statistics, econometrics, psychometrics), and competing approaches to maximize academic credibility.

A comprehensive guide for positioning a paper for ACM SoCC. It instructs authors to write the related work section by bridging both systems literature (e.g., OSDI, NSDI) and data-management literature (e.g., SIGMOD, VLDB). Focus must be on stating the 'delta'—the unique difference—rather than merely listing citations, ensuring dual anonymity and covering all relevant technical lanes.

A comprehensive guide for authors to determine if their manuscript tackles fundamental sociological problems (mechanism, structure, process) or if it is merely a policy evaluation. It helps authors avoid submitting to the wrong journal, ensuring their research advances theoretical sociological understanding.

A guide for academics on how to position a theoretical argument within existing sociological conversations and traditions. It teaches users how to explicitly state their intervention—whether extending, challenging, reconstructing, or synthesizing existing theories—to ensure the work is taken seriously by reviewers. It covers identifying live theoretical streams and avoiding common citation errors.

This guide provides a comprehensive framework for positioning theoretical algorithms research in top-tier venues like SODA. It details how to conduct a rigorous "related work" review, covering bound lineages across conference proceedings, journal publications, and arXiv preprints. Learn best practices for citing dual-version results, managing priority claims, and writing scholarly prose to establish your result's state-of-the-art status.

This guide provides expert advice on structuring and writing the 'Related Work' section for top-tier systems conferences (like SOSP/OSDI). It emphasizes shifting from simple citation lists to structural positioning, requiring authors to identify precise differences (e.g., assumption, mechanism, guarantee) between their work and existing research. It also covers academic lineage tracing, double-blind citation rules, and handling concurrent work.

This guide teaches authors how to position their research manuscript for top-tier journals like Social Psychology Quarterly (SPQ). It emphasizes framing the work within specific sociological theoretical programs (e.g., symbolic interaction, structure–individual link) rather than general psychological findings, ensuring the contribution speaks directly to the field's ongoing academic debates.

This framework guides researchers to evaluate whether their current manuscript meets the high academic standards of top-tier comprehensive journals (e.g., Social Sciences in China). It moves beyond technical sophistication, focusing instead on the depth of intellectual contribution, originality of theory, and the macro-level significance of the research problem, preventing mis-submission and guiding revision strategy.