Leveraging Big Data Technologies for Community Resilience

  • Hoang Long Nguyen Western Norway Research Institute
  • Rajendra Akerkar Western Norway Research Institute


Following the definition of United Nations Office for Disaster Risk Reduction (UNDRR), resilience is “the ability of a system, community or society exposed to hazards to resist, absorb, accommodate, adapt to, transform and recover from the effects of a hazard in a timely and efficient manner, including through the preservation and restoration of its essential basic structures and functions through risk management” , either planned or unplanned. Resilience starts with the emergency preparedness, paves to risk and vulnerability assessment, comes up with local solutions and adaption strategies, and is demonstrated through monitoring and evaluation . Researching about resilience can help communities break the barriers between disaster risk reduction and climate change adaptation to increase sustainability. Recent years, there emerge many efforts spending to build community resilience. Nevertheless, there is, still, a long path forward because of the complexity of urbanisation, the large scale of infrastructures, the changing of environment, the sheer volume of businesses, and the difficulty of effectively and efficiently involve all citizens. Our purpose in this on-going work is to leverage big data technologies for analysing existing approaches to resilience in Europe, overcoming their limitations, and coming up with resilient strategies and software instruments. Communities can utilise our outputs to anticipate threats promptly and to derive dynamic strategies for better decision-making (Kapucu et al. 2013), including, but not limited to, situational awareness strategies, funding assessing for prevention, and local knowledge diffusion, in both standard and challenging times. Our crucial aspect to the development of community resilience is to places citizens in the centre of all decision-making processes and their quality of life should be at the highest priority.