GitHub Copilot Insights helps organizations understand and optimize their AI-assisted development adoption. Upload your GitHub Copilot usage metrics and instantly visualize comprehensive analytics including user adoption patterns, code acceptance rates, AI model performance, and programming language distributions.

eduai-friction is a package promoting informed discussions around AI in education by analyzing "Four Frictions" and providing actionable steps.

Data-driven strategy for GenAI integration. Analysis of 100k companies reveals that strategic alignment, not budget size. drives successful AI adoption. Features ML clustering, XGBoost classification, and BERT sentiment analysis

AI Readiness Scale (AIRS): Validated 12-item instrument. 7-phase psychometric validation (N=362): EFA→CFA→Invariance→SEM→Mediation→Moderation→Behavioral. Autonomy-centered UTAUT2 extension (R²=.819). Reproducible Jupyter analysis, intervention protocols, practitioner guidelines.

台灣 AI 使用指數 (TAUI) - 開源資料分析框架，測量分析台灣各地區 AI 技術採用率 | Taiwan AI Usage Index - Open-source framework for measuring regional AI adoption

Technical showcase of the SCALE FACTOR™ Assessment methodology - a proprietary scoring framework for measuring AI infrastructure readiness across 7 critical dimensions. Includes scoring logic, sample architecture, and risk calculation algorithms.

This repository contains the full reproducibility package for the paper: “When Firms Fail to Adopt: Network-Mediated Survival under AI and General-Purpose Technologies” (Diego Vallarino, 2025).

Applied practitioner system for adopting LC-OS

📊 Measure and analyze AI adoption rates across Taiwan with our open-source framework, tailored for local needs and equipped with privacy protection features.

🔍 Analyze AI adoption frictions in education with eduai_friction, a tool for identifying challenges and developing actionable solutions for better integration.