It has been an exciting time for the Turing’s programme in data-centric engineering in partnership with the Lloyd’s Register Foundation. Starting with the appointment of Prof Mark Girolami as Director and the recruitment of Strategic and Group Leaders, the programme’s activity has rapidly expanded. As the programme continues to develop, world-leading academic and major industrial partners are spearheading ground-breaking data science research that will be translated into major engineering solutions, leading to real world impact.
Partnership with the Canadian Statistical Sciences Institute
The programme on data-centric engineering and the Canadian Statistical Sciences Institute (CANSSI) have joined forces to develop a programme of joint workshops, research exchanges and fellowships. Led by Prof. Chris Oates from Newcastle University and Prof. Nancy Reid, the director of CANSSI, the partnership aims to advance research in the statistical sciences by increasing the points of contact among researchers in Canada and the UK.
Partnership with Science Foundation Ireland
The programme on data-centric engineering are delighted to partner with Science Foundation Ireland in the award of a joint Ireland-UK PhD studentship to work under Prof. Nial Friel (University College Dublin), Dr. Chris Oates and Prof. Mark Girolami on the project “Statistical Techniques for Engineering with Advanced Materials (STEAM)”. The funding was awarded to investigate “Approximate Bayesian computation with application to 3D printing”.
Turing researchers awarded £2.9 million from EPSRC to advance statistical methods in engineering and defence
There is considerable demand for advanced statistical methodology to make scientific sense of the deluge of data emerging from the data revolution of the 21st century. The deluge of data has also created huge challenges in modelling, computation, and statistical algorithms. Following a joint bid with the University of Warwick, a team from The Alan Turing Institute’s data-centric engineering and defence and security programmes have been awarded £2.9 million from EPSRC for a five-year research project to address this challenge. Their goal is to create a step change in the use of principled statistical methodology, focusing on two specific application areas: engineering and defence.
Programme Director Mark Girolami awarded Research Chair
Professor Mark Girolami FRSE has been appointed Lloyd’s Register Foundation / Royal Academy of Engineering Research Chair in Data Centric Engineering and will lead a five-year project to explore how big data can be incorporated into engineering practice, including the development of new data-centric techniques to monitor the safety of physical structures that will be trialled on the world’s first 3D printed stainless steel pedestrian bridge. Read more at this link.
Engagement with the Royal Statistical Society
In both 2017 and 2018 the programme has engaged with the Royal Statistical Society and led invited sessions at the annual conferences in Glasgow and Cardiff. Hetan Shah, CEO of the Royal Statistical Society welcomed the participation of the data centric-engineering programme in 2017, saying: “The RSS is delighted to have this session on data-centric engineering at our annual conference in Glasgow. It highlights the growing importance of statistics and data analysis in industry and in defining and designing a safer society.”
Watch the full session from 2017:
Watch the full session from 2018:
Contribution to National Infrastructure Committee Report
New technologies like artificial intelligence and machine learning could help cut delays and disruptions across the UK’s infrastructure network. The National Infrastructure Commission’s report examined the opportunities that these new innovations present, and made recommendations to increase open data sharing to make the most of them. A first Call for Evidence was made on 15 February 2017, with a second following on 27 July 2017
Members of the data-centric engineering programme contributed to the report, recommending that the government should encourage the uptake of new data-driven solutions to the asset management of critical infrastructures.
Read the report here
Max Ent 2018
The programme is delighted to be hosting the 38th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, also known as Max Ent 2018. For over 37 years, the Max Ent workshops have explored the use of Bayesian and Maximum Entropy methods in scientific and engineering applications. This, the 38th edition of the Workshop, will be held at the Alan Turing Institute and feature tutorials and seminars from some of the programme’s Group Leaders.
For further details please visit the workshop website: https://max-ent.github.io/
Partnership with the Statistical and Applied Mathematical Sciences Institute (SAMSI)
The programme is delighted to be working closely with the statistical and applied mathematical sciences institute (SAMSI), with two joint workshops held in 2018:
The partnership brings together North Carolina State University, the University of North Carolina and Duke University, to jointly develop outstanding research collaborations with researchers at the Alan Turing Institute.
Case Study: Engineering Data Study Group
In December 2016 the programme funded Turing’s first Data Study Group which brought together 65 researchers to work on 6 data science problems provided by industry partners over a week long period. Industry participants included Siemens, Shell, National Grid, Syngenta, Airbus, Tata Steel and Shell’s Statistics & Chemometrics group.
Read our blog piece for more information on the Data Study Group. A series of scientific reports generated by the group will be published soon.
3D-printed bridge in Amsterdam to cross new territory
Members of the programme are partnering with MX3D, a 3D printing company, to measure, monitor and analyse the performance of the world’s largest 3D printed metal structure: a 12 metre-long stainless steel bridge due to be installed across a canal in Amsterdam in 2018. The Times have produced a short film profiling this groundbreaking work.
Video courtesy of Neil Bowdler.
Tackling air pollution
The programme announced a collaboration with the Mayor of London to tackle air pollution in London using data sensors.
Lloyd’s Register Foundation Insight report on distributed ledger technologies
The following report was published following a six-month research project undertaken as part of the programme.
You can view the report below or download a copy at the LR Foundation website