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NTU among universities to receive first-ever Turing Network Development Awards

Nottingham Trent University has been named among the successful institutions to receive The Alan Turing Institute’s first ever Network Development Awards.

Data science
The last decade has seen a dramatic rise in computer power, in data and scientific break-throughs

The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence and successful universities are awarded funds to:

  • Establish or grow an engaged and diverse community working in data science and AI research and innovation at the university, who are aware of and engage in the potential opportunities and initiatives available across the Turing network.
  • Identify and establish links between Institute priority areas and areas of interest and expertise at the university.
  • Host activities and initiatives that are open to the wider data science and AI research and innovation community and/or local and regional communities, to form new links and collaborations.
  • Map the university’s expertise and strengths in each of the Institute’s priority areas and those considered of national strategic importance (in data science and AI) not yet covered by the Institute.
  • Design plans for how the network will become sustainable for the future.

The last decade has seen a dramatic rise in computer power, in data and scientific break-throughs and these advances have led to the emergence of data science and the resurgence of AI.

Data science is the driver turning the huge amount of data generated globally each day into useful information and to understand its impact on science, society, the economy and our way of life. The study of data science brings together researchers in computer science, mathematics, statistics, machine learning, engineering and the social sciences.

The Turing already has a well-established network of university partners, and these awards enable the Institute to extend its reach.

For the award, each university demonstrated its own particular proven research excellence and a track record of translation in data science, AI, or a related field. The outstanding applicants will now be significantly enhanced through active involvement with the Institute’s thriving network.

“We want to bring together researchers and practitioners to leverage as much technical expertise as possible,” said Nottingham Trent University award lead Eiman Kanjo, Professor of Pervasive Computing and Head of the Smart Sensing Lab in NTU’s School of Science and Technology.

“NTU is a leading university in the field of data science and a key aim is to attract further investment and funding to help accelerate truly interdisciplinary research in a large scale and quality. The work will help us to identify key strengths in relation to data science and AI innovation, but also where gaps might exist and approaches for addressing them.”

Professor Di Bailey, interim Pro Vice-Chancellor for Research and Innovation at Nottingham Trent University, said: “NTU is delighted and proud to be a successful recipient of this award. It reflects our excellent research in this area and is important to the University because it offers an opportunity to contribute our research and innovation at scale in ways that support transformational change with partners.”

Adrian Smith, Institute Director, said “The awards reflect the demand across a range of sectors to work with the Institute. Data science and AI doesn’t stand still, and so we look forward to working together with this network of universities; exploring new ways to grow the UK’s dynamic research and innovation landscape.”

In all, the innovative awards have been made to 24 UK universities including institutions from Scotland, Wales, Northern Ireland and England.

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    Nottingham Trent University (NTU) received the Queens Anniversary Prize for Higher and Further Education in 2021 for cultural heritage science research. It is the second time that NTU has been bestowed the honour of receiving a Queen’s Anniversary Prize for its research, the first being in 2015 for leading-edge research on the safety and security of global citizens.

    NTU was awarded Outstanding Support for Students 2020 (Times Higher Education Awards). It was the University of the Year 2019 (Guardian University Awards, UK Social Mobility Awards), Modern University of the Year 2018 (Times and Sunday Times Good University Guide) and University of the Year 2017 (Times Higher Education Awards).

    NTU is one of the UK’s largest universities, with over 33,000 students and more than 4,000 staff located across five campuses. It has an international student population of 4,000 and an NTU community representing around 160 countries.

    In the past 15 years, NTU has invested £450 million in tools, technology and facilities.

    NTU is in the UK’s top 10 for number of applications and ranked first for accepted offers (2019 UCAS UG acceptance data) It is also among the UK’s top five recruiters of students from disadvantaged backgrounds.

    75% of NTU students go on to graduate-level employment or graduate-entry education / training within fifteen months of graduating (Guardian University Guide 2021).

    NTU is 4th globally (and 3rd in the UK) for sustainability in the 2021 UI Green Metric University World Rankings (out of more than 900 participating universities).


    The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence.

    The Institute is named in honour of Alan Turing, whose pioneering work in theoretical and applied mathematics, engineering and computing is considered to have laid the foundations for modern-day data science and artificial intelligence. The Institute’s goals are to undertake world-class research in data science and artificial intelligence, apply its research to real-world problems, driving economic impact and societal good, lead the training of a new generation of scientists, and shape the public conversation around data and algorithms.

    turing.ac.uk

Published on 2 February 2022
  • Subject area: Computing, engineering, maths and other technologies
  • Category: Press office; Research; School of Science and Technology