Reading Time: 4 minutesThe city of Bilbao has undergone a remarkable transformation in recent decades, evolving from a declining industrial centre into a city of global standing and appeal. How has it kept social cohesion at its heart?
Reading Time: 4 minutesThe city of Bilbao has undergone a remarkable transformation in recent decades, evolving from a declining industrial centre into a city of global standing and appeal. How has it kept social cohesion at its heart?
Reading Time: 4 minutesGovernments may know they want more semiconductors, clean technologies or advanced manufacturing. The harder question comes next: where should those industries grow?
Reading Time: 4 minutesCities often look to one another for solutions to challenges ranging from housing shortages and climate risks to infrastructure pressures and social inequalities. How can cities bridge the gap between inspiration and implementation?
Reading Time: 4 minutesIn rural Laos, Laos Buffalo Dairy rents pregnant buffaloes from farmers, supporting rural families while producing milk commercially, sustaining livelihoods without disrupting traditional local farming practices. But can shared value be a lasting business model?
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: < 1 minute過去20年以上、日本では他地域から東京圏への転入者数を、転出者数が毎年平均10万人を上回ってきました。継続的な首都地域への国内純流入として、OECD諸国の中でも最大規模の例です。また、2000年以降、東京圏以外のほとんどの道府県で人口減少が進んでいます。そして、若者、特に若い女性が、より多くの機会を求めて地方都市から大都市圏へと移り住んでいます。
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?