Society is increasingly exposed and vulnerable to frequent reoccurrence of natural disasters exacerbated by climate change. In the event of a disaster, there is huge amount of heterogenous data generated by the people and automated systems. For instance, social network data generated by citizens and first responders, satellite images of the affected areas, flood maps generated by drones. This has become a huge global issue that needs to be addressed. To convert this massive heterogenous crisis data into valuable knowledge, there is need to integrate it and extract knowledge in near-real time by means of novel data analytics solutions. Although, currently the analysis is focused on one single type of data (e.g social media, or satellite images).Their integration into big data analytics systems capable of building accurate predictive now cast and forecast models will provide effective support for emergency management.
The workshop aims at involving researchers, practitioners…
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