Reading Time: 3 minutesWhat makes a region attractive? Sometimes, it’s the ability to reinvent itself, and Newcastle, Australia, is a powerful example: competitive regions are not just places that grow, they are places that adapt.
Reading Time: 3 minutesWhat makes a region attractive? Sometimes, it’s the ability to reinvent itself, and Newcastle, Australia, is a powerful example: competitive regions are not just places that grow, they are places that adapt.
Reading Time: 3 minutesFor small businesses, formalisation should not feel like another administrative burden. Done well, it can become a route to trust, finance and growth. In Somalia, informal shops and traders keep economies alive daily; so, are we formalising for paperwork, or to really help entrepreneurs succeed?
Reading Time: 4 minutesIn the past, developing a tourist destination seemed straightforward. What was needed was a few attractive assets, such as a beach, cultural sites or scenic mountains. With extreme weather as the new normal, how is tourism changing and how can regions adapt to it?
Reading Time: 4 minutesAcross the OECD, cities are engines of economic growth. They attract investment, create high‑value jobs and generate most of national wealth. Yet for millions of their residents, this prosperity remains out of reach. So, if growth alone is not enough, what actually helps more people benefit from and contribute to it?
Reading Time: 4 minutesDepuis des années, les villes investissent dans des capteurs intelligents, des tableaux de bord et des services numériques. Mais alors que les chocs se propagent en cascade à travers les systèmes d’eau, d’énergie, de transport et les systèmes sociaux, les villes intelligentes ne suffisent plus. Que faudra-t-il pour transformer les infrastructures intelligentes en une résilience réelle?
Reading Time: 3 minutesFor years, cities have invested in smart sensors, dashboards and digital services. But as shocks cascade across water, energy, transport and social systems, smart cities aren’t enough. What will it take to turn smart infrastructure into real resilience?
Reading Time: 4 minutesOn Saturday, 31 January 2026, a single cloud changed Maipú in less than an hour – 17 millimetres of rainfall in forty-five minutes, flooding streets and destroying homes. Images spread across social media. Many claimed they were fake. They were not. The storm devastated more than a thousand families. So how did Maipú use real-time data to reach those in need?
Reading Time: 4 minutesEl sábado 31 de enero de 2026, una sola nube transformó Maipú en menos de una hora – 17 milímetros de lluvia en cuarenta y cinco minutos, inundando calles y destruyendo viviendas. Las imágenes se difundieron por las redes sociales. Muchos afirmaron que eran falsas. No lo eran. La tormenta devastó a más de mil familias. ¿Cómo usó Maipú los datos en tiempo real para llegar a quienes lo necesitaban?