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In recognition of the threat that natural disasters and climate change continue to pose on communities worldwide, the Global Facility for Disaster Reduction and Recovery (GFDRR) and the UK Department for International Developments (DfID) competitive Challenge Fund “Solving the Puzzle: Innovating to Reduce Risk” is funding high-impact activities focused on the definition and effective use of risk-related data and methodologies applicable to data rich and data poor contexts alike. Whilst in data-rich contexts catastrophe risk model simulations can be applied to evaluate natural hazard risk and the effects on this risk of disaster risk management (DRM) strategies, in developing countries the lack of appropriate datasets for input to these models, alongside other social and technical constraints, pose significant limitations to the effective applicability of catastrophe models. Ultimately, the Challenge Fund aims at creating more robust, accessible, high-resolution and trusted risk data analyses, thus promoting the reduction of the uncertainties that characterise the evaluation of DRM and disaster risk reduction (DRR) strategies.
This Second Round of the Challenge Fund focuses on three pilot projects that address the recommendations made in the recent GFDRR report “Solving the Puzzle: Innovating to Reduce Risk” – namely, to expand the effort to decrease DRM costs and increase resilience by developing a framework that facilitates a multi-hazard view of risk.
The MOVER project promotes the better understanding of physical and social vulnerability across single, multi-hazard and multiple hazards scenarios.MOVER is led by UCL EPICentre and looks to develop an open multi-hazard vulnerability database that takes into account different assets (people, buildings and select critical infrastructure) and loss measures.
The project is still ongoing, with completion expected for April 2018.