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Geographic Information for Disaster Management – Combining Crowdsourcing and AI
14th September 2018 @ 6:30 pm - 8:30 pm
Disasters and conflicts affect large parts of the world’s population, frequently in remote areas. Relief agencies and local authorities depend on up-to-date information on infrastructure, the population and resources to do their essential work. For example, real-time data provided by researchers from Heidelberg University offered critical support in the aftermath of the devastating earthquake in Nepal.
Such geographic information can also be harnessed to improve city living. Noise pollution is a growing problem in many urban environments, for example. It can reduce happiness, increase stress, and even make people sick. To minimize exposure to noise pollution while navigating the city, people need realtime information on noise-polluted areas. Geographic information combined with new non-traditional ways to generate data have shown potential to help in both disaster relief and city living. In addition to satellites and sensor data, crowdsourcing of geographic information through volunteers has evolved as a new paradigm for data generation and is contributing vital information.
Heidelberg University researchers are seeking ways to successfully merge the power of technical sensors and human sensors. Join us in a stimulating discussion on how to integrate the wisdom of the crowd with artificial intelligence for improving geographic information for disaster response, risk reduction and urban living.