The starting point of the SHINE research project is simple: better data leads to better understanding leads to better decisions. This holds for both individual citizens and government authorities. For this reason, SHINE develops ICT techniques to collect, process, and visualize data that concerns different aspects of urban life. Heavy rainfall is a good example of this. We collect data from physical sensors, e.g., weather stations that measure rainfall and wind direction. Likewise, data is collected by crowdsensing: citizens collecting and sharing weather data through social media or mobile apps. We combine data from social media (social media retrieval) with techniques to actively request people to contribute data (request-driven social sensing).