Supporting innovation based on global disaster risk data

Making informed decisions to support societal resilience in the face of different disaster scenarios requires intimate understanding of the balance between changing hazard scenarios (e.g. due to climate change), changing exposure (e.g. concentration of population in the urban centres) and risk mitigation approaches (such as early warning systems).

Assessing the likely near-term societal burden of disaster events on the global level in a consistent manner is a challenge that requires supporting evolving, inherently interdisciplinary and inter-organisational collaborations in their data generation and management activities. At the same time, the impact of the analysis is increasingly dependent on the ability to present the underlying data sets in ways that support the validation of the analysis and secondary use of the data in an efficient, intuitive manner.

PROCESS is supporting the work of the United Nations Office for Disaster Risk Reduction in collaboration with the CIMA Research Foundation.