At the NET-SCIENCE lab, we are working on building the next generation of our critical infrastructures more roubst, more reliable, more secure and more efficient through real-time smart decisions. Humans are becoming a part of the smart cities, where the Internet-of-things (IoT) devices such as connected sensors, traffic lights, and meters are used to collect and analyze data to control and improve infrastrcutures, public utilities and services to the customers. Therefore, understanding the interactions between humans, smart devices, and the infrastructures will be helpful to design more meaningful control strategies. Our goal is to understand such interactions, and use this understanding to make better design and control decisions. More specifically, we focus on efficiently analyzing different data sources such as online social network and IoT (Internet of Things) devices to predict and control events in our critical infrastrucutres. Our mission is to build a distributed platform that can optimally and efficiently analyze the big data collected from different data sources to design more reliable, more efficient, and more robust interdependent infrastructures for smart cities.