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Edinburgh among 8 UK universities to partner with BBC for data research

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Edinburgh University is among the eight UK universities to take part in a five-year research partnership with the BBC to unlock the potential of data in the media. 

The Data Science Research Partnership will be at the forefront of machine learning in the media industry, helping create a more personal broadcasting service that can inform, educate and entertain in new ways.

The partnership brings together industry experts and world-leading UK data scientists from the Universities of Bristol, Manchester, Edinburgh and Surrey, Imperial College London, Queen Mary University of London, Ulster University and University College London.

Four areas of focus

The partnership will also collaborate with media and technology organisations from across the UK, Europe and internationally on a range of projects. These will focus on the following four areas, all combining anonymised BBC data with cutting-edge algorithms and analytics. The aim is to create a body of research, insights and prototypes that can start making a real impact on the BBC and its audiences.

Educational opportunities

Alongside this will be a range of educational opportunities to help the broadcaster and its staff improve the skills they’ll need in a data-driven future. This will include tailored courses ranging from entry-level to advanced, MSc Data Science apprenticeships, and secondments between the BBC and all the research partners.

Matthew Postgate, the BBC’s Chief Technology and Product Officer, says: “The BBC has always been at its best when it combines creativity with technology. As we reinvent the BBC, we can see the opportunities that data and machine learning are opening up for us, our creative talent and our audiences. This partnership will help us break new ground and ensure we continue giving audiences the very best in public service broadcasting well into the future.”

Samantha Chadwick, Head of Partnerships, BBC R&D, says: “Machine learning is going to play an increasingly important role in the world. Together with our partners and funding bodies, we want to apply these advances in data science to the media industry and make a real difference to people’s lives. The partnership will also train a new generation of data scientists on real media problems to create new audience experiences that don’t even exist yet.”

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