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GCRF Multi-hazard Urban Disaster Risk Transitions Hub
McCloskey, John
(Principal Investigator)
McCloskey, John
(Principal Investigator)
Attal, Mikael
(Co-investigator)
Baxter, Rob
(Co-investigator)
Bayne, Sian
(Co-investigator)
Bell, Andrew
(Co-investigator)
Gourmelen, Noel
(Co-investigator)
Main, Ian
(Co-investigator)
Mudd, Simon
(Co-investigator)
Naylor, Mark
(Co-investigator)
Rush, Dave
(Co-investigator)
Sinclair, Hugh
(Co-investigator)
School of Geosciences
School of Engineering
EPCC
Moray House School of Education and Sport
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
13/02/19
→
16/10/24
Funding
Natural Environment Research Council:
£23,257.62
Natural Environment Research Council:
£14,842,268.51
Natural Environment Research Council:
£157,790.60
Natural Environment Research Council:
£25,848.14
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Decision-Making
Computer Science
100%
Community Group
Computer Science
100%
Disaster Risk Reduction
Computer Science
100%
Urban Planning
Earth and Planetary Sciences
100%
Urban Development
Earth and Planetary Sciences
100%
Decision Making
Social Sciences
100%
Marginalized Group
Computer Science
50%
Scientific Information
Computer Science
50%
Research output
Research output per year
2025
2025
2025
1
Article
Research output per year
Research output per year
Tomorrow’s Cities Risk Agreement Approach: utilising the analytical, communication and convening power of science for inclusive, risk-sensitive urban planning
Gentile, R., Deshpande, T., Ozer, E., Amatya, S., Shreshta, N., Guragain, R., Pelling, M. &
Sinclair, H.
,
7 Jul 2025
, (E-pub ahead of print)
In:
International Journal of Disaster Risk Reduction.
105659.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Community Group
100%
Disaster Risk Reduction
100%
Decision-Making
100%
Urban Planning
100%
Decision Making
100%