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Collaborating with leading organisations to solve real world challenges

Seedling image from Pixabay for CGFI

CGFI (The UK Centre for Greening Finance and Investment)

Accelerating the adoption and use of climate and environmental data and analytics by financial institutions internationally

CReDo visualisation

CReDO

The Climate Resilience Demonstrator

Bridge over a river

CReDo OFGEM SIF Beta

CROSSEU logo

CrossEU

Cross-sectoral Framework for Socio-Economic Resilience

Computing Cluster

Data Infrastructure for National Infrastructure

Electric bikes in a row

e-UMDS

Enabling Urban Mobility Data Sharing

NERC logo

NERC Digital Solutions

A Digital Solutions Hub facilitating improved access and better use of NERC data.

OpenCLIM logo large

OpenCLIM

The OpenCLIM project (Open Climate Impacts Modelling Framework) is designed to support UK assessment of climate risks and adaptation

UK farmland

OpenLAND

Aiming to boost the UK’s efforts to achieve net zero emissions by 2050

Road and city landscape

QRT

Quasi-Real-Time Data

Water treatment centre

RIWS

Resilience scenarios for integrated water systems

Flooded town with church in background

SOFRAMODE CoE

Sewer overflow flood risk analysis model DAFNI enabled

Smoke coming from power station into atmosphere

UrbanAIR

Developing a digital twin that supports decision-makers in urban areas

UK landscape with wind turbines in the background

BRINES

BRINES (Building Risk-Informed redundancy for Net-zero Energy Systems) is a collaboration project led by Dr Hannah Bloomfield from Newcastle University.

Railway Tracks

ClimaTracks

ClimaTracks is a collaboration project led by Giuliano Punzo from the University of Sheffield.

Electric pylons

D-RES

D-RES (Provision of distributed grid resilience using EVs during extreme weather events) is a collaboration project led by Dr Desen Kirli from University of Edinburgh along with Dr Laiz Souto from University of Bristol.

Birds eye view of roads in the middle of flooded surroundings

FIRM

Flood resilience simulation on DAFNI

Wind energy with wind turbines

ForNet

ForNet (FORecasting Services for Energy NETworks) is a collaboration project led by Professor Konstantinos Nikolopoulos from Durham University.

Flooded road

IMPACT

IMproving flood disruPted road networks with a dynAmic people-Centric digital Twins

Aeroplane on runway

MARS

MARS (Modelling Aviation Resilience Scenarios) is a project led by Dr Fabian Steinmann from Cranfield University along with Dr Irene Moulitsas and Dr Desmond Bisandu from Cranfield University.

Flooded town

NIRD CoE

Building systemic resilience of interdependent infrastructure networks at the national scale

Illustrated birdseye view of Oxford

Pywr-WREW CoE

Pywr-WREW, a water resources model for England and Wales built in Python water resources simulation system

Birds eye view of river through houses and fields

SCQUAIR

Small Changes, QUANT and AI Resilience

Workers fixing underground pipes

STORMS CoE

Buried infrastructure, like cables and pipes, are vulnerable to meteorological shocks or extreme weather events, such as floods and droughts.

Blue pipe leaking water

WSL

Water Systems Leakage

USARIS CoE

Uncertainty quantification and sensitivity analysis for resilient infrastructure systems

What is DAFNI?

DAFNI drives cutting-edge research, empowering experts to tackle complex challenges across diverse industries. By providing powerful tools, models, and insights, we enable researchers to explore innovative solutions that drive sustainable development and shape the future of infrastructure.

Who We Are
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At DAFNI, we’re building a vibrant community of infrastructure researchers. Our rich set of interoperable models enables collaboration, knowledge sharing, and innovative solutions for tomorrow’s challenges.

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Professor Jim Hall

The launch of the DAFNI system represents a monumental milestone in developing the UK’s Data and Analytics Facility for National Infrastructure. With Climate change impacting our nation, it is now more important than ever to understand how we can better prepare the UK for extreme events. DAFNI will provide the UK with infrastructure data analysis and previously unseen levels of computer performance providing greater insights to inform policy decisions and therefore lead the world in our ability to prepare for these extreme events.

Professor Jim Hall

Chair of DAFNI Governance Board