Twitter Geo-Epidemiological Feasibility Study Improving epidemiological models by adding spatial and semantic information derived from social media data M Methods B Background R Results M Methods Extracting Twitter posts that mention influenza, yellow fever, cholera, Ebola, and other diseases for 12 countries in Africa. Creating basic statistics like the number of [...]
Walk&Feel Improving Walking Conditions for Pedestrians by Combining “People as Sensors” data with Data from Existing Approaches M Methods B Background R Results P Publications M Methods The project Walk&Feel conducts a study with 60 test persons in three different areas. The test persons will wear smartbands that measures physiological characteristics [...]
Extracting Contextual Emotion Information for Spatial Planning Real-time "People as Sensors and Social Media"
Integration of social media analysis and crowdsourced information within both the Mapping and Early Warning Components of Copernicus Emergency Management Service (EMS)
Ensuring Humanitarian Safety through Real-time Situational Awareness for Efficient Management of Migration Movements
Grenzüberschreitende Zusammenarbeit im Bereich der Logistischen Unterstützung in Krisensituationen
Provide a theoretical foundation for the first law of geography through proximity-similarity relationships, and quantify neighbourhood boundaries and of hierarchical relationships between intra-urban neighbourhoods