Data to Policy: Exploring World Happiness using Al

We are looking forward to the Karachi R User Meetup, sponsored by Stat Devs and R Consortium

In this session, Dr. Zahid Asghar will explore World Happiness data through the lens of AI using Positron, the next-generation IDE from RStudio. Using global well-being metrics as a practical example, he’ll show how modern AI-powered workflows can elevate policy thinking—moving beyond charts and spreadsheets to deeper questions around inequality, trust, income, health, and social support.

What You will Learn:

• How AI & R can support evidence-based policy conversations
• How Positron enables visual, intuitive, and interactive data exploration
• Comparing countries and regions using well-being data
• Identifying gaps, patterns, and inequalities in global happiness metrics
• Connecting data to real policy variables (income, health, trust, social support)

Who Should Attend:

• R Users & Data Scientists — Interested in modern analytical workflows
• Policy Analysts & Academics — Exploring data-driven decision-making
• Students & Researchers — Looking to understand global well-being data
• Anyone Curious About AI in Analytics — Learn how tools boost insight quality

Participants will see how better tools lead to better questions, and in turn, more realistic and evidence-based policy conversations.

If you’re interested in R, data science, public policy, or curious about how AI is reshaping analytical work, reserve your spot now.