Course Highlights

• AI-powered systematic literature reviews using Perplexity for evidence discovery and Claude for synthesis.
• Advanced regression techniques (logistic, probit) with SPSS and Julius AI interpretation.
• Time series forecasting with ARIMA models and scenario planning for policy outcomes.
• Cluster analysis, factor analysis, and scale reliability testing with AI guidance.
• Panel data analysis, including fixed/random effects and difference-in-difference designs.
• Policy brief writing using Claude’s executive communication templates.
• Theory of Change development with AI diagramming and assumption testing.
• Quasi-experimental designs (PSM, IV, ITS, synthetic control) with SPSS applications.
• Predictive modelling using AI for policy impact assessment.
• Data visualization for advocacy using Julius AI charts and Bricks infographics.
• Comparative cross-country policy benchmarking with heat maps.
• MEL system design with KoboToolbox integration and real-time dashboards.
• Automated policy recommendation frameworks and report generation.
• Capstone integrating full AI-powered policy analysis workflow

Who is eligible for this course?

• Policy analysts
• Development professionals
• Senior researchers