Co-sponsored by: University of Dubai

A Smart City is a city that performs well in the following characteristics: economy, people, governance, mobility, environment and living. The high degree of datification and connectivity embedded in a Smart City demand tools and mechanisms for data manipulation and representation that facilitate the extraction of meaningful insight. However, this process of extracting knowledge from data requires Data Science. Design and operation of smart, efficient, and resilient cities has come to require data science skills. Today, rich data and powerful algorithms in the hands of domain experts have transformed decisions about marketing and advertising, but not those decisions about how we maintain our urban infrastructure and built environment. It is time to understand how these approaches can be applied to the challenges in adaptive monitoring and control of civil infrastructure systems, and to invent the tools which will allow researchers and practitioners to better leverage these approaches so that decision-making will be based on all available data. In this first part of the talk, we will discuss the fundamentals of reproducible data science and analytics, probability and statistics, and machine learning to leverage data generated within transportation systems, environmental systems, building energy systems, and power grids, via crowd-sensing, and remote sensing technologies. In the second part of the talk, we will discuss issues related to Social Media Intelligence where Social media intelligence (SMI) is a collective tools and solutions that allow organizations to monitor social channels and conversations, respond to social signals and synthesize social data points into meaningful trends and analysis based on the user’s needs. Social media intelligence allows one to collect intelligence gathering from social media sites, using both intrusive and non-intrusive means, from open and closed social networks. 

Speaker(s): Seifedine Kadry,

Location:
Room: CEIT 102
University of Dubai
P. O Box 14143
Dubai, United Arab Emirates