Addressing climate change preparedness from a smart water perspective

Observing the world on a global scale can help us understand better the role of water and water resource management utilities in a climate change context that engage us all. The usage of machine learning algorithms on open data measurements and statistical indicators can help us understand the behavioral changes in seasons and better prepare. These are complemented by powerful text mining algorithms that mine worldwide news, social media, published research and patented innovation towards best practices from success stories. In this paper, we propose a data-driven global observatory that puts together the different perspectives of media, science, statistics and sensing over heterogeneous data sources and text mining algorithms. We also discuss the implementation of this global observatory in the context of epidemic intelligence, monitoring the impact of climate change, and the value of this global solution in local contexts and priorities.