Risk management: Novel approaches to assessment and analysis of risk and resilience
Background
Geospatial data: Effective use of modern data architecture and analysis to make full use of data collected in the Defra Group and other relevant sources (for example from satellites, climate observations/models, and from other government departments).
Next steps
Get in touch with ari.comment@go-science.gov.uk
Source
This question was published as part of the set of ARIs in this document:
Topics
Related UKRI funded projects
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Statistical Review of Some Aspects of the 2016 UK National Risk Assessment
The UK National Risk Assessment (NRA) is a classified biennial report which provides an assessment of the risks of civil emergencies in the UK over the next five years. The NRA is compiled by the Civil Contingencies Secr...
Funded by: NERC
Why might this be relevant?
The project is specifically focused on risk assessment and has an expert in uncertainty and risk assessment for natural hazards.
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Multi-hazard and risk informed system for Enhanced local and regional Disaster risk management
This project will develop a decision-support system (DSS) for disaster risk management by considering multiple interacting natural hazards and cascading impacts using a novel resilient-informed and service-oriented appro...
Funded by: Horizon Europe Guarantee
Why might this be relevant?
The project addresses novel approaches to risk management by developing a decision-support system for disaster risk management considering multiple hazards and impacts, with a multidisciplinary team of experts.
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SECURE- network for modelling environmental change
SECURE is a network of statisticians, modellers and environmental scientists and our aim is to grow a shared vision of how to describe and quantify environmental change to assist in decision making. Understanding and for...
Funded by: EPSRC
Why might this be relevant?
The project is focused on modelling environmental change, which is related to risk and resilience, but does not directly address risk assessment.