Flood Risk

Photo of a truck a, a bus and a motorcycle on a city street during a flood.

The Data Behind the Shield: How Early Warnings and Population Maps Save Lives

Each year, tropical cyclones threaten more than a billion people living in low-lying coastal cities. As storms grow more intense and cities expand, the stakes are rising. But a recent study led by Dr Haiyan Liu, a visiting researcher with WorldPop, shows that multi-hazard early warnings supported by more effective use of data can dramatically […]

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Photo of man wearing mask in street

Lessons from COVID-19: How Data and Modelling Evolved During the Pandemic

A new MOnitoring Outbreaks for Disease surveillance in a data science context (MOOD) Horizon 2020 study published this week offers an insightful look at how disease modelling and data use changed throughout the COVID-19 pandemic. The research, led by Dr Esther van Kleef, Technical Consultant for the World Health Organization (WHO), with WorldPop’s Professor Andy

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Photo of the flooded areas of Borno State after the Alau dam collapsed, triggered extensive floods.

How WorldPop Data Powers Google’s Global Flood Forecasting Revolution

As climate change drives more extreme weather patterns, the need for accurate and timely flood forecasting has never been greater. A global leader in this effort, Google’s Flood Hub, uses artificial intelligence to predict riverine floods1, and behind the scenes, WorldPop’s Global Project Population dataset is playing a pivotal role in shaping the tool’s impact.

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