Networks are all around us. As such, network science is crucial for our understanding of many applications of high societal relevance (e.g., social and technological networks, epidemics, biological networks). Our research focuses on developing new machine learning methods to discover complex interactions and collective behaviors that determine how various types of events and behaviors in social networks are generated and propagated. In particular, we are interested in developing new approaches for social sensing that are relevant to the immediate concerns around pandemic detection and mitigation.
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In: Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks, pp. 39–42, 2017.
In: Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks, pp. 15–18, 2017.
In: Proceedings of the 2nd International Workshop on Social Sensing, pp. 29–34, 2017.