2026-03-22 –, Yuchengco Hall 5th Flr. Y509 (Workshop Room 3)
The Philippines continues to work toward the Sustainable Development Goals (SDGs), but its progress becomes clearer—and more actionable—when viewed alongside other countries facing similar social, economic, and environmental challenges. Many SDG issues in the Philippines mirror broader regional struggles, yet the lack of accessible, comparable data makes it difficult for citizens and decision-makers to understand where the country is ahead, where it is falling behind, and what lessons can be learned from peers.
This 2-hour, hands-on workshop uses Python to compare the Philippines’ SDG performance with that of other nations in Southeast Asia and beyond. Participants will use open global datasets to clean, explore, and visualize cross-country indicators—revealing patterns, inequalities, and standout practices. By grounding the analysis in international comparison, the workshop helps participants understand not only how the Philippines is doing, but why some countries progress faster and what strategies may be adapted.
This workshop is not about politics — it’s about essential skills for meaningful development analysis:
✔ Data literacy for interpreting global SDG indicators
✔ Critical thinking through country-to-country benchmarking
✔ Responsible analytics that avoid misleading comparisons
✔ Transparency through reproducible and open Python workflows
By the end of the session, participants will have built a concise, reusable “SDG Comparison Notebook” that compares Philippine performance to regional and global peers. The goal is to demonstrate how Python can illuminate where the Philippines stands in the world—and how data can guide smarter, more accountable pathways toward achieving the SDGs.
Many development challenges across Southeast Asia remain difficult to address because the underlying data is fragmented, hard to compare across countries, or rarely examined with a critical lens. Python provides a practical way to change this by making data analysis transparent, reproducible, and accessible to anyone. This workshop introduces a simple civic analysis workflow that teaches participants how to question claims, identify gaps in public information, and use open global datasets to understand how the Philippines compares to other nations on key SDG indicators.
Participants will learn essential Python tools for exploring cross-country data—from basic cleaning and visualization to fast analysis and simple geographic mapping. They will apply these skills to SDG-related issues such as education outcomes, inequality, healthcare access, mobility, environmental resilience, and governance performance. By evaluating the Philippines alongside regional and global peers, participants will uncover patterns and insights that highlight both strengths and areas for improvement. By the end of the workshop, they will have built a small, reusable “SDG comparison notebook” that demonstrates how Python can strengthen data literacy, promote transparency, and empower citizens to understand where the Philippines stands in the world and how it can move forward.
Myk Ogbinar leads the Data & Analytics Group at San Miguel Corporation, which drives enterprise-wide strategies in data, analytics, and AI. He recently earned his Master of Engineering in Artificial Intelligence from UP Diliman, College of Engineering and is now pursuing a PhD in AI, focusing on computer vision, foundation models, and agents.
Outside of work, Myk pays it forward through Data Engineering Pilipinas, a community focused on open learning and data skills, and by mentoring women aspiring to data careers at For The Women Foundation. His cross-industry experience spans IT, retail, energy, telecom, banking, and manufacturing, where he has helped teams harness data and AI to solve real-world challenges.