When seasonal haze turns dangerous, UNICEF’s Air for Tomorrow project brings open‑source sensors and connectivity to schools across Laos, turning “we can feel it” into actionable data that protects children and communities.
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When seasonal haze turns dangerous, UNICEF’s Air for Tomorrow project brings open‑source sensors and connectivity to schools across Laos, turning “we can feel it” into actionable data that protects children and communities.
Anthony Mockler and Hugo Ruiz Verastegui are data scientists at UNICEF's Data Lab in Bangkok. Discover how their unique backgrounds and experiences in AI and machine learning are driving innovative solutions for humanitarian challenges. From detecting illegal landfills to supporting emergency responses with real-time data, Anthony and Hugo share their journey, motivations, and the impact of their work. Learn about their commitment to open source and digital public goods, and their vision for the future of AI in humanitarian aid.
Bits&Bytes the podcast
When seasonal haze turns dangerous, UNICEF’s Air for Tomorrow project brings open‑source sensors and connectivity to schools across Laos, turning “we can feel it” into actionable data that protects children and communities.
