Disasters are increasingly frequent and severe, owing to climate change and ever more complex human-landscape interactions. Death tolls and economic impacts (percentage of national GDP) from natural hazard-induced disasters are greatest in low-to-middle income countries (LMICs). Disaster Risk Reduction (DRR) is central to the UN’s sustainable development agenda, driven by the Sendai Framework for DRR 2015-2030.
Much current disaster risk management research and practice is siloed; little is done to investigate multi-hazard cascading and cumulative impacts. To date, disaster risk-based science insufficiently accommodates the systemic nature – the inter-connectedness and inter-dependencies – of complex risk landscapes with multiple interacting drivers that impact multiple human actors/infrastructure in a fast-changing world.
There is a clear need to address these knowledge gaps and develop informed strategies, deploying nascent knowledge and technologies (e.g., high-performance computer modelling, big data analytics and AI), to manage multi-hazard risks, build long-term resilience and achieve optimal well-being in LMICs. This demands interdisciplinary research that will: 1) treat hazards as part of coupled human and natural systems (CHANS) to capture “cross-scale interactions and interdependencies”; 2) develop fit-for-purpose approaches and tools using the latest informatics technologies to understand the drivers and cumulative impacts of multiple hazards and manage systemic risks; and 3) support effective knowledge co-production/sharing to deliver tools and solutions for practicable DRR. To achieve these, it is crucial to consider different knowledge systems and sources, accounting for local social, economic, political, historical and cultural contexts. This demands close collaboration with local partners/stakeholders, and focusing more on effective capacity development and well-being, to provide more appropriate and sustainable solutions.
To make a step change to the current DRR research and practice, we work with LMIC partners and stakeholders to co-develop fit-for-purpose solutions for multi-hazard risk management to achieve effective DRR, with a focus on multiple hydro-geohazards and their attendant cascading hazard chains (e.g., floods, landslides, erosion, debris flows). The Chair’s work contributes to SDGs1, 2, 5, 9, 11 & 13 and example activities include:
1) Working with in-country partners to identify research needs and co-develop knowledge and tools for effective DRR.
2) Establishing an International Research Network in Informatics and DRR (INIDRR) to foster interdisciplinary collaboration, share resources and knowledge, and ensure effective knowledge transfer and capacity development.
3) Adapting existing/create new education programmes, including PhD and MSc programmes, and fit-for-purpose training courses, to train the next generation of researchers and professionals to support DRR research and practice, particularly in LMICs.