Explore the world of big data tools in this comprehensive lecture by Professor Richard Gibbens from the University of Cambridge. Delve into the intersection of mathematics, statistics, and computer science as applied to big data analysis. Learn about theoretical modeling techniques reinforced with real-world data from road transport and energy networks. Discover how recent advances in computer technology, such as multi-core and cluster computing, can be leveraged for big data processing. Gain insights into the importance of collaboration between researchers and policymakers in utilizing data and modeling effectively. This 2.5-hour talk, presented at the Alan Turing Institute, offers valuable knowledge for those interested in data science, network analysis, and the practical applications of big data tools in various fields.