Machine Learning Joins the Housing Revolution

This podcast explores the concepts and realities surrounding resilient housing. Through interviews, sound bites, and trips to countries where resilient housing is underway, we will share with you the World Bank’s new effort to support building homes better before a disaster strikes. From structural engineers to government officials, you will hear from a wide variety of professionals working to strengthen the homes we live in. Leveraging technologies, such as drones, street cameras, and machine learning, and pairing them with low cost, life-saving construction methods, the Global Program for Resilient Housing aims to strengthen retrofitting measures. Understanding which homes put families at risk and where they are located are vital components to successfully prioritize investments. From complex algorithms to simple construction design, you will learn what it takes to make homes safer and more resilient to natural disasters and climate change.

You can listen to Machine Learning Joins the Housing Revolution online on Radio and Podcast. Open the player on this page to stream the available audio.

Machine Learning Joins the Housing Revolution is an episode from World Bank Podcasts by Listen to the latest news.

This episode is 22:48 long.

This episode was published on Dec 3, 2019.

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