Draft:Data and Analytics Facility for National Infrastructure
 | Review waiting, please be patient.
This may take 3 months or more, since drafts are reviewed in no specific order. There are 3,185 pending submissions waiting for review.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
Reviewer tools
|
Submission declined on 28 December 2024 by SafariScribe (talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
This draft has been resubmitted and is currently awaiting re-review. |  |
 | The topic of this draft may not meet Wikipedia's notability guidelines for companies and organizations. (August 2024) |
The Data and Analytics Facility for National Infrastructure (DAFNI) is a computing platform which supports advanced research into national infrastructure including transport, water, energy and city-scale modelling.[1] DAFNI was established in 2017[2] and spent four years in development before launching in July 2021. [3] It brings together data, computing resources and expertise to support UK infrastructure research. It provides software allowing researchers to study complex infrastructure systems in cities, such a sewage systems or transportation networks.[4] [5]The DAFNI Annual Conference is addressed by experts in these disciplines.[6][7][8]
Chair of the DAFNI Strategy Board is Jim Hall.[9] He is Professor of Environmental Risks in the School of Geography and the Environment at the University of Oxford,[10] a senior research fellow in the Department of Engineering Science at the University of Oxford and Fellow of Linacre College.
History
[edit]In 2017, development began on DAFNI at the Rutherford Appleton Laboratory in Didcot, with £8 million in UKRI/EPSRC funding. The platform was intended to support government and industry by modeling infrastructure systems such as transport, energy, water, and communications. Led by Jim Hall, the project’s first application was NISMOD (National Infrastructure Systems MODel), a modelling tool also used by the National Infrastructure Commission. A consultation was launched to assess user needs and address data access and security concerns.[11]
In 2019, Chancellor Philip Hammond identified DAFNI as an example of how advanced computing could support improvements in the resilience of UK infrastructure. Developed over four years by the Science and Technology Facilities Council, the platform integrates data from multiple sources to model infrastructure systems using advanced visualisation tools. Hammond referenced DAFNI in commissioning a national study on infrastructure resilience, describing it as an opportunity to conduct “stress tests” of infrastructure networks and support evidence-based government decision-making.[12]
In 2023, UK Research and Innovation launched a £4 million virtual Centre of Excellence for Resilient Infrastructure Analysis, which uses the DAFNI platform. The initiative supports research into the resilience of UK infrastructure against threats such as climate change and pandemics. DAFNI’s data-sharing and modeling capabilities were cited as central to enabling collaboration between government, town planners, and researchers across the UK.[13]
Funding and Partners
[edit]From 2017 to 2021, DAFNI was funded by an UKRI EPSRC £8m investment in the UK Collaboratorium for Research on Infrastructure and Cities (UKCRIC) to provide infrastructure systems research capabilities.[14] Since then, the DAFNI programme has received a £1.4m grant under EPSRC's Resource Only Strategic Equipment [15] and in March 2023 UKRI awarded £4m to STFC Scientific Computing to establish a national Centre of Excellence for Resilient Infrastructure Analysis based on the DAFNI platform. Further UK Government funding was received in 2024.[16]
Institutions working with DAFNI include Imperial,[17] University of Bristol,[18] Cranfield University,[19] UCL CASA [20], Newcastle University[21] and University of Southhampton.[22]
References
[edit]- ^ "DAFNI aims high with analytics for infrastructure". UKAuthority. Retrieved 2024-08-15.
- ^ "Launch of the Data and Analytics Facility for National Infrastructure (DAFNI) - Innovate UK Business Connect". 2017-06-15. Retrieved 2024-08-15.
- ^ Reis, Alex (2021-07-07). "New platform to advance infrastructure research in the UK". European Scientist. Retrieved 2024-09-09.
- ^ Matthews, Brian; Hall, Jim; Batty, Michael; Blainey, Simon; Cassidy, Nigel; Choudhary, Ruchi; Coca, Daniel; Hallett, Stephen; Harou, Julien J; James, Phil; Lomax, Nik; Oliver, Peter; Sivakumar, Aruna; Tryfonas, Theodoros; Varga, Liz (2023-09-01). "DAFNI: a computational platform to support infrastructure systems research". Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction. 176 (3): 108–116. doi:10.1680/jsmic.22.00007. ISSN 2397-8759.
- ^ Mijic, Ana; Dobson, Barnaby; Liu, Leyang (2024-11-15). "Towards adaptive resilience for the future of integrated water systems planning". Cambridge Prisms: Water. 2: e11. Bibcode:2024CPWat...2E..11M. doi:10.1017/wat.2024.9. ISSN 2755-1776.
- ^ NIC (2019-06-10). "'Data now as important to UK Infrastructure as concrete or steel' - Sir John Armitt speech to DAFNI". NIC. Retrieved 2024-10-24.
- ^ "Dr Ana Mijic to speak at DAFNI conference". Imperial College London. Retrieved 2024-10-24.
- ^ "Conference Speakers 2023 | Data & Analytics Facility for National Infrastructure - DAFNI". Retrieved 2024-10-24.
- ^ "CES". ces.pagelizard.co.uk. Retrieved 2024-08-16.
- ^ "People | School of Geography and the Environment". www.geog.ox.ac.uk. Retrieved 2024-08-16.
- ^ "Boffins start work on data centre to analyse UK infrastructure". The Register. 7 July 2017. Retrieved 4 May 2025.
- ^ "Chancellor hails super software as improving UK infrastructure". New Civil Engineer. 30 November 2018. Retrieved 4 May 2025.
- ^ "UKRI £4M centre of excellence to boost infrastructure resilience". New Civil Engineer. 9 March 2023. Retrieved 4 May 2025.
- ^ Admin (2019-07-10). "Informed decisions". Construction & Civil Engineering magazine. Retrieved 2024-08-15.
- ^ Smart, Belinda (2023-08-25). "£1.4M announced for digital modelling projects that support infrastructure climate change resilience". New Civil Engineer. Retrieved 2024-08-15.
- ^ "Pilot projects will aid better and safer use of data in research". www.ukri.org. 2024-03-06. Retrieved 2024-08-15.
- ^ "Resilience scenarios for Integrated Water Systems - £330K DAFNI funded project | Imperial News | Imperial College London". Imperial News. 2023-08-29. Retrieved 2024-08-15.
- ^ Bristol, University of. "August: Funding for climate change resilience project | News and features | University of Bristol". www.bristol.ac.uk. Retrieved 2024-08-15.
- ^ "Cranfield assesses UK aviation resilience". www.airportsinternational.com. 2024-05-02. Retrieved 2024-08-15.
- ^ UCL (2023-06-27). "The DAFNI Hardware Fund powers CASA research on the impacts of major infrastructure projects". The Bartlett Centre for Advanced Spatial Analysis. Retrieved 2024-08-15.
- ^ "Boosting the resilience of urban areas against floods". Press Office. 25 August 2023. Retrieved 2024-08-15.
- ^ "Research project: UKCRIC Strand C: Data Analytics Facility for National Infrastructure". University of Southhampton. Retrieved 4 May 2025.
- in-depth (not just passing mentions about the subject)
- reliable
- secondary
- independent of the subject
Make sure you add references that meet these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.