Skill UI

This guide details the comprehensive workflow for preparing an accepted ACM CCS paper for the final proceedings. It covers critical steps including de-anonymization, applying ACM sigconf templates and rights forms, incorporating shepherd/minor-revision feedback, placing artifact evaluation badges, and coordinating publication disclosure timing. Adherence to these technical and policy checks ensures compliance with ACM standards.

A comprehensive guide for correcting bias in Difference-in-Differences (DID) analysis conducted with staggered adoption timing or heterogeneous treatment effects. This methodology replaces the biased Two-Way Fixed Effects (TWFE) approach with modern estimators such as Callaway–Sant'Anna, de Chaisemartin–D'Haultfœuille, and Sun–Abraham, ensuring compliance with advanced econometric standards.

This guide provides rigorous methodology and theoretical frameworks for conducting heterogeneity analysis, particularly for academic manuscripts focused on rural Chinese economies. It outlines criteria for dimension selection (e.g., household endowment, regional environment, policy timing), ensuring theoretical justification, and setting minimum sample size requirements to avoid superficial findings and common pitfalls.

A comprehensive guide for computer vision researchers to determine if their project is a good fit for ECCV, considering scope, technical durability, and academic timing. It weighs the project's contribution against the specific requirements of ECCV versus competing top-tier venues like CVPR and ICCV, ensuring strategic submission planning.

This guide helps researchers evaluate whether their computer systems project—covering areas like OS, distributed infrastructure, cloud computing, and ML systems—is best suited for EuroSys, or if it should target other top-tier venues like SOSP, OSDI, or ASPLOS. It provides rigorous criteria covering built artifacts, transferable ideas, evidence quality, and strategic timing to maximize publication chances.

A comprehensive guide for planning the submission of law-review articles, detailing the multi-submit and expedite mechanics used by top law students. It covers strategic timing (Spring vs. Fall seasons), establishing a tiered submission set (Reach, Match, Floor), and leveraging offers to accelerate review at highly ranked journals like HLR. Essential for maximizing publication chances in competitive academic environments.

A comprehensive guide for researchers deciding the optimal venue for a computer vision project. It analyzes the biennial nature of top conferences like ICCV, evaluating project readiness, timing maturity, and comparing the unique requirements of ICCV, CVPR, and ECCV to maximize acceptance chances.

This comprehensive guide provides an end-to-end workflow for authors planning and submitting papers to the International Conference on Database Theory (ICDT). It covers the unique two-cycle submission calendar, advising on timing from initial abstract registration, first-cycle revisions, to final camera-ready submission and presentation strategy. Essential for managing academic publication timelines.

This guide outlines best practices for ensuring the scientific reproducibility and artifact availability of network measurement research. It distinguishes between analysis reproducibility (recreating figures from released data) and method reproducibility (re-running the measurement). It mandates thorough documentation of provenance, including vantage points, timing, and tool versions, ensuring research claims are verifiable and robust.

A comprehensive guide for executing and reporting the full empirical robustness battery required by top accounting journals. It covers modern econometric techniques like standard error clustering, advanced Difference-in-Differences (DiD) estimators for staggered timing, Regression Discontinuity (RD) diagnostics, and Instrumental Variables (IV/2SLS). The guide emphasizes rigorous validation of accounting constructs, executing multiple sensitivity tests, and ensuring full data-and-code reproducibility for academic publication.

A comprehensive guide to establishing credible causal identification in empirical law and economics (L&E). It addresses the high institutional bar required by top journals, detailing how to defend the source of variation (e.g., reforms, governance choices, court assignments) against common threats like endogenous timing, selection bias, and omitted variables. Covers advanced methods including staggered Difference-in-Differences (DiD), Instrumental Variables (IV), and Regression Discontinuity Design (RDD).

A comprehensive guide for NLP researchers to determine the ideal conference venue (NAACL, ACL, EMNLP, etc.) for their paper. It analyzes timing, target audience fit, and the unique regional focus of NAACL (Nations of the Americas) to ensure the work is submitted to the most appropriate and receptive community.