We live in a time where information about most of our movements and actions is collected and stored in real time thanks to technological advancements. Large number of increasingly small sensors are used everywhere (from mobile phone to IoT devices) while advances in data storage, indexing, and processing platforms allows us to store and process data cheaply and efficiently: “It is now cheaper to keep data rather than to delete it”. Data science strives to develop the methods and tools to unlock the value in massive amounts of data safely and ethically.
Interdisciplinary in nature, it employs theories and techniques from computer science, statistics, machine learning, and mathematics to understand, analyze and potentially affect human, physical, and societal phenomena. Big data from credit card transactions, browsing history, social networking, genetic tests or many other sources have the potential to radically transform science and industry with Harvard Business Review calling Data Scientist “the sexiest job of the 21st century”.
The Department of Computing at Imperial, along with Imperial’s Data Science Institute, creates a unique environment for Data Science by bringing together world leading computer scientists along with researchers in medicine, biology and the social sciences. Our work aims to revolutionize applications in medicine, cyber-security, development economics, bioinformatics, behavior analytics and many more.
Introducing the Data Science Institute
Data science is the driving force of the new economy.
The Data Science Institute is a cross-faculty body set up to coordinate data science research at Imperial. This video introduces the diverse scientific disciplines at the core of the Institute and its potential impact on the modern world.
Are you dining on data?
Data Science Insights - Are you dining on data? (highlights)
At this event Derek Scuffell, Syngenta R&D Data Strategist, and Judith Batchelar, Director of Brand at UK supermarket chain Sainsbury's, each shared insights in how their supply chains are driven by data and how the world will be able to feed itself in the future because of data.
Building Brains: Learning from data
Data Science Insights - Building Brains: Learning from data (highlights)
At this event Professor Steve Furber CBE from the University of Manchester, talked about how his new hardware architecture, SpiNNaker, is pioneering neural network research and then shared insights into how progress in his field will develop computer-based intelligence. Axel Threlfall, editor-at-large at Reuters, chaired this event.