The increased occurrence and severity of worldwide disasters, exacerbated by the impact of
climate change, pose significant challenges to emergency management, calling for novel …

Flooding is a natural hazard that causes a lot of deaths every year and the number of flood
events is increasing worldwide because of climate change effects. Detecting and monitoring …

In 2017, weather-related disasters killed nearly 10,000 people and affected 100 million
people, causing damage of over $300 bn (CRED, 2018). Whereas the number killed has …

Floods are natural disasters that can result in significant social, economic, and
environmental impacts. Timely and accurate flood detection is crucial for effective disaster …

Participatory design methods are becoming increasingly known, required, and applied in
innovation projects. This article presents the experience gained in the H2020 project CO3 …

ABSTRACT Disaster Risk Reduction is a complex field in which a huge amount of data is
collected and processed every day in order to plan and run preparedness and response …

Abstract The World Economic Forum ranks the Philippines third among all of the countries
with highest risks on disaster, with an index value of 25.14%. This is attributed to the location …

The three key ingredients underlying most Machine Learning algorithms are features, task,
and model. The features describe the input data, and the model generates a correct …

Flooding is a major global hazard whose management relies on an accurate understanding
of its risks. Crowdsourcing represents a major opportunity for supporting flood risk …

The increased occurrence and severity of worldwide natural disasters, exacerbated by the
impact of climate change, pose significant challenges to the Disaster Risk Reduction (DRR) …