STORMS CoE
Buried infrastructure, like cables and pipes, are vulnerable to meteorological shocks or extreme weather events, such as floods and droughts.
Data
DAFNI aims to improve the efficiency, reliability and sustainability of infrastructure through the better sharing and use of data. We work with our partners and collaborators to make the best use of the data they collect. Data is a key ingredient driving modern science and as data sizes and complexities increase in our everyday lives, it is important to keep data usable and safe.
Other Research Areas
Dr Cristian Genes, University of Sheffield
DAFNI as a Digital Twin platform
Cristian’s focus is on demonstrating the unique, advanced technological capabilities that make DAFNI an ideal platform for collaborative development, validation and implementation of Digital Twins for large-scale complex systems.
Watch his video introduction. Access the slides here – the link will open a PDF document.
Find out more about Cristian’s work for DAFNI.
Professor Stephen Hallet and Ian Trucknell, Cranfield University
Work package 2: datasets
Co-champions Stephen and Ian will focus on the 800 datasets already on the DAFNI National Infrastructure Database and identify issues such as gaps, which are the key ontologies for infrastructure research and which are peripheral.
Watch his video introduction. Access the slides here – the link will open a PDF document.