Centre for Data Science
Developing new theory and algorithms, to make sense of big data
The UCL Centre for Data Science is a UCL-wide research and innovation initiative. We develop new mathematical and statistical theory, and quantitative and computational methods, to help make sense of large, complex data sets. Our work is helping to shape the emerging field of data science, and has application in a wide variety of scientific disciplines.
Our researchers collaborate with several university, industrial, commercial and governmental partners, in the UK and internationally. Our major activities include academic and industry-focussed research, data science executive education, expert consultancy, and scientific workshops and conferences.
We also contribute actively to the public conversation around data science, and the opportunities and challenges it presents.
Discussion meeting on "The growing ubiquity of algorithms in society, impacts and innovations", at the Royal Society, London on 30th and 31st October 2017
The usage of algorithms and analytics in society is exploding: from machine learning recommender systems in commerce, to credit scoring methods outside of standard regulatory practice and self-driving cars. The rapid adoption of new technology has the potential to greatly improve citizens experiences, but also poses a number of new challenges. This meeting will highlight opportunities and challenges in this rapidly changing landscape, bringing legal and ethics experts together with technologists to discuss implications, impacts and innovations.
Published: Aug 21, 2017 11:33:44 AM
Professor Sofia Olhede, Director of the UCL Centre for Data Science, was a member of the panel for this Royal Society debate, part of their Summer Science Exhibition 2017. The event was part of the adults-only preview night line-up, 'Twilight Science'. Sofia was joined by Professor Dame Uta Frith (UCL), discussing bias, and Dr Dan Mercea (City University) discussing tribal behaviour.
Published: Jul 14, 2017 2:56:00 PM
On 17 May, Professors Sofia Olhede and Patrick Wolfe presented work at 'Patterns and Behaviours' a science/art event. The evening, at Truman Brewery, was part of the creative reactions project, which brings together scientists and artists to collaborate. Patrick and Sofia talked about data analysis of tidal data, and the importance of the point-of-view of the observer. Collaborating artists were the poet Francis Byrne, film-maker Susi Arnott and photographer Crispin Hughes.
Published: May 18, 2017 3:14:00 PM
The Royal Society is today releasing its report on "Machine learning: the power and promise of computers that learn by example”. Professor Sofia Olhede has been part of the committee, which has explored policy issues associated with automated decision making using machine learning in society.
Published: Apr 25, 2017 3:43:00 PM
Data science institutes at University of Michigan and University College London sign academic cooperation agreement
The Michigan Institute of Data Science (MIDAS) at the University of Michigan and the Centre for Data Science and Big Data Institute at UCL (University College London) have signed a five-year agreement of scientific and academic cooperation.
Published: Feb 1, 2017 12:00:00 AM