UKCRIC National Infrastructure Database, Modelling, Simulation and Visualisation Facilities

Completed

Not Energy Related
Other Cross-Cutting Technologies or Research(Other Supporting Data)

Basic and strategic applied research

PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics)
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering)
ENGINEERING AND TECHNOLOGY (Civil Engineering)
ENGINEERING AND TECHNOLOGY (Architecture and the Built Environment)
ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences)

Not Cross-cutting

Professor J Hall
Environmental Change Institute
University of Oxford

Standard

EPSRC

01 April 2017

31 March 2022

60 months

£8,000,000

Unknown

South East

UKCRIC

Professor J Hall, Environmental Change Institute, University of Oxford

Dr S Barr, Civil Engineering and Geosciences, Newcastle University
Professor M Batty, Centre for Advanced Spatial Analysis, University College London
Dr SP Blainey, School of Engineering Sciences, University of Southampton
Professor NJ Cassidy, Civil Engineering, University of Birmingham
Mr S Chorlton, Scientific Computing Department, STFC (Science & Technology Facilities Council)
Dr R Choudhary, Engineering, University of Cambridge
Professor D Coca, Automatic Control and Systems Engineering, University of Sheffield
Dr S Hallett, School of Water, Energy and Environmen, Cranfield University
Dr J J Harou, Civil, Environmental and Geomatic Engineering, University College London
Dr N Lomax, Sch of Geography, University of Leeds
Dr BM Matthews, Scientific Computing Department, STFC (Science & Technology Facilities Council)
Dr P Oliver, Scientific Computing Department, STFC (Science & Technology Facilities Council)
Professor JW Polak, Civil and Environmental Eng, Imperial College London
Dr EA Silva, Land Economy, University of Cambridge
Dr A Sivakumar, Civil and Environmental Eng, Imperial College London
Mr LS Smith, Sch of Engineering, Newcastle University
Dr T Tryfonas, Civil Engineering, University of Bristol
Dr LE Varga, School of Management, Cranfield University
Dr E Yang, Scientific Computing Department, STFC (Science & Technology Facilities Council)

The UKCRIC National Infrastructure Database, Modelling, Simulation and Visualisation Facilities (NIDMSVF) will enable a new generation of research that acquires and interprets data on infrastructure and cities, models complex behaviours, visualises results and informs decision making.The National Infrastructure Database (NID) will provide a national secure facility for assembling, hosting and creating datasets on infrastructure assets and networks and the human and natural environments in which they are located. It will provide a secure, scalable and trusted repository for national infrastructure data; and a new platform for analysis of big datasets, including standard simulation test cases. It will become a hub for infrastructure researchers in the UK and for business and government organisation.The national infrastructure Modelling, Simulation and Visualisation Facilities (MSVF) will provide an e-science environment which will represent a step-change in UK capability by (i) linking seamlessly with the national infrastructure database (ii) conveniently accessing high performance computing facilities (iii) enabling coupling of simulation modules to enable system-of-systems simulation and (iv) linking with visualisation facilities to enable scrutiny and communication of complex and high dimensional simulation results.NIDMSVF will be based at the Rutherford Appleton Laboratory, Oxfordshire, managed by STFC Scientific Computing Department (SCD) and supported by the JASMIN infrastructure team. This will allow the UKCRIC consortium i) to maximally benefit and leverage the significant scientific and technical track record and expertise of STFC in delivering large scale research infrastructure for the UK and international collaborations; ii) to leverage the established delivery records of STFC using capital money to deliver infrastructure assets to government organisations and international science programmes; and iii) to exploit and benefit from mature data, compute, and infrastructure assets that will provide significant added value to NIDMSVF. The development of the central NIDMSVF will be strongly collaborative and multidisciplinary in nature to ensure fruitful interactions and cross-fertilisation co-development activities between UKCRIC university-based and STFC-based teams.

28/03/19