Unlock Europe: AI-driven Data Analytics for Policy-analysis
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Programme Overview
Week 1: EU Policy-making, Evaluation & Data Analytics
Day 1: Understanding the EU Policy Cycle
o Introduction to EU institutions and policy-making mechanisms
o Workshop on regulatory burdens and policy outcomes
Day 2: EU Better Regulation Approach & Impact Assessments
o Principles of EU regulation: transparency, subsidiarity, proportionality
o Hands-on impact assessment techniques (cost-benefit analysis, multi-criteria analysis)
Day 3: Red Tape Reduction & Administrative Efficiency
o Introduction to Regulatory Fitness (REFIT), Standard Cost Model (SCM), and digital governance solutions
o Practical assignment: Evaluate and simplify administrative processes using data analytics
Day 4: Data Manipulation with PowerQuery & R/Python for Policy Evaluation
o Concepts: Data integration for impact assessments, data-driven evaluation techniques
o Extended hands-on exercises and assignments: Preparing, processing, and analyzing data for policy assessments using R/Python
Day 5: Visit to EU Institutions & Practitioners Discussion
o Interaction with EU policy-makers, practical insights into daily governance tasks
Week 2: Advanced Data Techniques, AI & Practical Applications
Day 6: Advanced Data Manipulation with R/Python
o Advanced R/Python workshop for in-depth policy data analysis
o Assignment: Complex data handling and analysis scenarios relevant to EU policy
Day 7: Data Visualization for Policy Evaluation
o Shortened workshop on essential data visualization principles (ggplot, interpreting policy data)
o Brief assignment: Visualizing key policy evaluation insights
Day 8: AI-assisted Web Scraping & Structured Data Extraction in Policy Analysis
o Techniques in web scraping using PowerQuery, R/Python for policy data collection
o Assignment: Scraping, structuring, and analyzing data for enhanced policy evaluation
Day 9: Case Studies: EU AI Act & Corporate Sustainability Reporting Directive
o Practical applications of AI-driven policy evaluation, data analytics in impact assessment
o Group project: Critical analysis and presentations linking data, AI, and evaluation methodologies
Day 10: Policy Evaluation Project Presentations & Reflections
o Participants present their group projects and data-driven policy evaluations
o Interactive debrief, feedback session, and final reflections
Assessment Method
• Active class participation and engagement
• In-class group presentations (data analyses, policy evaluation)
• Final individual paper synthesizing learned methodologies and proposing evidence-based policy recommendations