King’s College London has a wealth of expertise in the collection, storage and management of big data and also the analysis of large datasets. The bulk of this takes place in the Department of Informatics and the Department of Mathematics. Topics as diverse as machine learning, telecommunications, traffic planning and financial data analysis are investigated by our academics and students, and the algorithms and technology that they develop go on to support other areas of big data research at King’s.
Our medical faculties (Life Sciences & Medicine, Nursing & Midwifery), King’s Health Partners and National Institute for Health Research (NIHR) Biomedical Research Centres (BRC) collaborate with the Departments of Informatics and Mathematics to process large databases of primary care electronic health records and genomic data to identify target genes, refine statistical algorithms and develop clinical treatment models that better suit the UK population. The Department of Informatics also works in collaboration with the Department of War Studies to determine the use of open source intelligence, improve cybersecurity and to understand the value of social media in crisis situations.
The Dickson Poon School of Law, Faculty of Social Science and Public Policy and the Department of Digital Humanities tackle the legal and socio-cultural implications of big data collection, including the impact on privacy, personalised medicine, epidemiology and the legal ownership of our information. The Department of Geography has a number of researchers working with very large geo-spatial data sets of human interaction (Oyster card, mobile phone, etc.) and physical processes (wildfires, flooding, and natural hazards).
Through our strong government and industry connections we can provide our expert staff and students with in-house access to a vast range of real-world data. In recognition of this unique position as a hub for big data research King’s has invested heavily in the mathematical and computer sciences that drive the development of big data study. The university has also committed to a further five-year growth strategy for Science and Technology. One of the main elements of this strategy is the linking of big data expertise across the university to exploit synergies and to to develop novel algorithms and approaches.
If you would like to find out more please follow the links on the left hand side to read about the research taking place in specific disciplines or contact us.