Also available in: Español | Français  | 中文  Machine learning algorithms are excellent at answering “yes” or “no” questions. For example, they can scan huge datasets and correctly tell us: Does…

Sarah Elizabeth Antos, Luis Triveno |

Children are often told that home is where to run inside when thunders hit or when the rain comes, and that home is a safe place. However, for billions of people in the world, it is not.   By 2030…

Kristina Wienhoefer, Luis Triveno |

Also available in: Español | 中文 [[tweetable]] Why resilient cities need resilient housing. [[/tweetable]] Download the full version of the slideshow here.  The scene is as familiar as it is tragic…

Luis Triveno, Elizabeth Hausler, Niels Holm-en, Peter Yanev |

The demand for decent, affordable – and safe – housing for growing urban populations is a nagging problem for financially strapped governments throughout the developing world. According to…

Luis Triveno, Elizabeth Hausler |

About this series More blog posts Between 2010 and 2017, Chile was struck by 10 major natural hazard events. These disasters affected as many as 340, 583 houses and cost $3.6 billion in…

Julian Palma, Marisa Garcia Lozano |

Hurricane Matthew destroyed an estimated 90% of homes in Haiti's Grande Anse department. Stronger public knowledge infrastructure can help better facilitate post-disaster recovery. (Photo: EU…

Luis Triveno, Klaus Deininger |

Building earthquake-resistant housing in Peru. Photo: USAID/OFDA, Auriana Koutnik/Flickr When a hurricane, earthquake or other natural disaster strikes a poor country, families too often suffer a…

Luis Triveno, Niels Holm-en |