AI for Public Infrastructure Planning: From Gaps to Future Needs in Africa
Infrastructure planning increasingly depends on understanding multiple signals at once—from population trends and electricity access to climate conditions, public concerns, and infrastructure accessibility.
Yet these signals are often scattered across different datasets, making it difficult to develop a complete view of where infrastructure gaps exist and how needs may evolve.
In this webinar, we’ll explore a real-world Omdena infrastructure-planning project showing how AI, NLP, population modeling, satellite data, and geospatial analysis can bring these different signals together.
What We’ll Explore
🔹 Public concerns and sentiment — using NLP and topic modeling to identify infrastructure-related themes
🔹 Population and electricity access — analyzing changing demand and infrastructure gaps
🔹 Water stress — using satellite and climate data to assess current and future conditions
🔹 Infrastructure accessibility — using GIS to understand access to hospitals, roads, powerlines, and commercial centers
🔹 Decision support — bringing these insights together in an interactive infrastructure-planning dashboard
Who Should Attend?
Infrastructure and urban planners, government and public-sector professionals, NGOs and development organizations, GIS and geospatial professionals, climate and sustainability professionals, infrastructure organizations, AI/data professionals, researchers, and policy professionals.
Join us to explore how AI can help move infrastructure planning from understanding today’s gaps toward preparing for tomorrow’s needs.
Note: This is a pre-recorded webinar with an AI-generated voice.