Skill UI

This guide outlines the stringent structural requirements for writing papers on distributed systems theory, specifically for top-tier conferences like PODC. It details how to front-load the core arguments, define the model box rigorously (network, timing, fault model), structure proofs logically, and ensure the key results are visible within the critical first 10 pages.

This skill provides comprehensive guidelines for submitting manuscripts to the journal *Science of Science and Management of S&T*. It helps researchers assess the article's fit, structure, required evidence (e.g., patent quality, network analysis), and common pitfalls associated with technology policy and innovation systems research, ensuring academic rigor.

A comprehensive guide for authors submitting to top systems conferences (e.g., SenSys, MobiCom). It details how to structure the Related Work section by sweeping multiple literature lanes (IoT, embedded AI, networking), proving citation venues, and most importantly, distinguishing your novel mechanism from the single nearest prior system with concrete, measurable differences. Essential for academic publication rigor.

This comprehensive guide outlines the strict criteria for submitting a paper to the SenSys conference after the 2026 merger. It clarifies that the core contribution must be a built, measured sensing or embedded system, demonstrating value based on physical resources like energy, memory, and latency on real hardware, rather than being a pure algorithm or networking mechanism.

A comprehensive guide on methodological rigor for submitting manuscripts to Social Forces. It covers designing causal inference (panel/DID/IV/RDD), demographic analysis, comparative-historical case selection, and network/computational methods. The focus is on strengthening the design by rigorously defending assumptions and ruling out alternative explanations, ensuring methodological soundness beyond mere association.

This skill guides the transformation of empirical findings into generalizable, theoretically robust arguments suitable for top-tier social science publishing. It helps define core social mechanisms, establish scope conditions, and derive testable observable implications across diverse methodologies (e.g., quantitative, comparative, network). Use this when your initial results are strong but the overarching theoretical contribution needs explicit articulation.

A comprehensive guide for submitting networking research artifacts for SIGCOMM conferences. It dictates how to package code, downscale topologies, substitute traces, and pin environments so that reviewers can independently verify and reproduce the paper's headline results, establishing verifiable scientific claims.

A comprehensive guide for designing and auditing high-stakes networking experiments, particularly for top-tier academic submissions like SIGCOMM. It outlines the 'evidence ladder' from microbenchmarks to live deployment, emphasizing the need to select robust baselines, report full performance distributions (percentiles and variance), and accurately map the mechanism's operational break points.

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.

Provides comprehensive guidelines for improving the reproducibility of academic network measurements and research artifacts, particularly for conferences like SIGCOMM. It details the necessary evidence map and the 'four ledgers'—topology, traffic, configuration, and run—to ensure that all reported claims can be accurately recreated and verified by the wider academic community.

A comprehensive guide for researchers deciding if their networking contribution (mechanism, architecture, or protocol) is a strong fit for SIGCOMM. It provides criteria for distinguishing between research novelty and real-world experience, and routes the work to similar top venues like NSDI, MobiCom, and IMC based on the core technical signal.

This guide outlines the rigorous standards required for submitting top-tier academic papers, such as those for ACM SIGCOMM. It instructs authors on how to transition from general claims to highly evidence-based arguments by focusing on measured operational pain, defining design principles, and pairing every performance claim with concrete testbed, trace, or deployment evidence. Essential for researchers in networking and systems.