Python is everywhere—except, it seems, in public health. As a global health practitioner working across continents, I have used Python behind the scenes to influence policy, support technical decisions, and uncover hidden patterns in health data. This talk will present rapid case studies of Python’s role in public health decision-making, from the Pacific Islands to China, from the Philippines to Europe.
Each of these examples demonstrates the power of Python’s ecosystem—not just for data science but for influencing real-world health policy.
Despite its versatility, Python remains underutilised in public health. Why does this gap exist? How can we bridge the divide between Python as a tool for developers and its potential as an engine for “hacking health”? This talk will close with a Call for Health, inviting collaboration on ways to make Python a more prominent force for population health.
Want to collaborate or contribute? We're open to partnership opportunities and would love to hear your ideas.