The next decade will see step changes in data-driven technology, impacting all aspects of engineering and industry. In preparation, the Lloyd’s Register Foundation and The Alan Turing Institute have partnered on a major initiative to address new challenges in data-centric engineering.
Based at The Alan Turing Institute, the programme brings together world-leading academic institutions and major industrial partners from across the engineering sector.
The goal of the programme is to make data science, mathematical and statistical techniques fundamental to engineering practice, making engineering safer and smarter and leading to a world in which all that is engineered – buildings, transport, energy systems and much more – is more intelligently designed, built and maintained, more energy efficient and ultimately safer to use and live in.
The programme for data-centric engineering is led by Professor Mark Girolami.
The programme is structured around three over-arching ‘Grand Challenges’ designed to meet the data-centric engineering needs of society and industry:
- Resilient and robust infrastructure
- Monitoring of complex systems
- Data-driven design under uncertainty.
These Challenges have been selected to enable the programme to provide the greatest societal impact. The programme has initiated a range of projects focused on delivering the path to achieving the Grand Challenges.
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AMSTERDAM, 15 JULY 2021 – The world’s first 3D printed steel bridge opens to the public today: a pedestrian structure located in the city centre of Amsterdam. The bridge is a result of a multi-disciplinary team of experts collaborating on the future design of public spaces.
Healthcare and aerospace experts at King's College London, The Alan Turing Institute, the University of Cambridge, and the Oden Institute for Computational Engineering and Sciences at UT Austin in Texas have said advances in digital twin technology make it a powerful tool for facilitating predictive and precision medicine and enhancing decision-making for aerospace systems. Their opinion piece has been published in Nature Computational Science.
The Alan Turing Institute and the University of Sheffield Advanced Manufacturing Research Centre (AMRC) have signed an agreement to work together to identify opportunities for artificial intelligence (AI) adoption in manufacturing, accelerate research collaboration and boost skills development.
Recent Impact stories
The Turing’s data-centric engineering programme and its collaborators are unlocking insights into the world-first 3D printed steel bridge, using innovative data science techniques and ‘digital twin’ technology’.
Project Odysseus monitors activity on the streets of London, allowing authorities to make interventions to keep people socially distanced.
Algorithms developed at the Turing will allow aerospace companies to build engines that waste less fuel and have a lower carbon footprint
The programme has partnered with Cambridge University Press on the launch of a new open access journal, Data-Centric Engineering
The vision for the journal is to publish high quality research using data-intensive approaches in any of the engineering sciences so that emerging ideas can be accelerated in research and practice. The journal can be read, redistributed, and re-used without barriers. Importantly, this includes those with a stake in these developments outside of academia who usually do not have access to academic publications, such as those in industry and policy fields.
To have greatest impact, the programme has always recognised that data-centric engineering has to be adopted on a global basis. From the foundational community established at the Turing, the programme has worked to develop international connections to drive forward data-centric activity within engineering across the world.
Memoranda of understanding have been signed on three continents so far: with the Canadian Statistical Sciences Institute, the Oden Institute (The University of Texas at Austin), the Finnish Centre for Artificial Intelligence, and The University of Sydney. These agreements formally recognise shared ambitions around embracing data-centric methods in engineering and encourage the co-development of activities, working together on research, sharing knowledge, and hosting exchange visitors and events.
The programme has also developed collaborative international projects with partners based in Amsterdam, San Francisco and Singapore.
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For more information, please contact Katy Henderson, Research Project Manager, [email protected]