The ICR Lab developed Re-Energize DR3 toolbox that combines quantitative methods  (artificial intelligence, machine learning, natural language processing, resource nexus modelling, climate modelling) and qualitative methods (stakeholder selection, engagement processes, survey design, metrics and indicators, Policy Delphi) with a deontological approach (values and principles of environmental justice, analysis of policies, laws and regulations) all interconnected, in which decision makers could adopt and operate hypothetical possibilities to the extent that decisions lead to anticipated reduction in causalities, increase in response and support to vulnerable groups, decrease in finance losses as a result of improved response and prevention measures. 

The toolbox developed by UCL ICL Lab includes Artificial intelligence for digital responses,  RADaR model for disruptions or failures of services, a  Balanced scorecard with 455 DR3 indicators to support the planning and monitoring of Equitable DR3, a process for stakeholders’ engagement in islands and coastal cities including surveys with 15 islands, workshops with stakeholders in 6 locations. The 120 stakeholders we interact in workshops recognize the useful of our tool and approach to monitor and advance planning for disaster risk reduction, adaptability, and equitable resilience.

By applying our tools to case studies (islands and coastal cities), with stakeholder’ engagement processes, we co-develop knowledge taking a inter and multi- disciplinary approach towards how island nations and coastal areas can advance adaptive capacity, risk reduction, and equitable resilience governance to adapt to the impacts of climate change.

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More information is coming soon!