WP2: Social Sensing and Mining

Methods for the collection and integration of whole spectrum of structured and unstructured data needed to support the models and the associated mathematical and algorithmic analysis techniques. The core challenges are (1) facilitating the self configuration and adaptation of the collection and analysis methods based on the needs of the models and high level user queries, (2) new big data analytics for mining the evolutionary patterns of spatio-temporal, multi-dimensional networks, with respect to spreading and contagion at local level, and (3) how to incorporate such knowledge into the complexity models. Success Criteria: Presence of a self configuring, adaptive social sensing and mining framework that has been quantitatively evaluated on concrete use cases and shown to work together with the modeling framework.