Case studies

Integration of public data bases for identifying highly vulnerable people in need of relief prioritization by the Estonian Rescue Board

The Global Risk Report (2016) compiled from 750 security and defence world experts emphasized that high-risk of cyber terrorism act against Estonia might materialize in near future with damaging consequences for population and economy.

This case study will look into the Elbe Flooding Disasters in 2020, 2006 and 2013 and the neglect for social capital and social marginalization caused by authorities’ lack of societal knowledge.

This case is inspired by several near-disaster incidents. The first-responders (fire brigade, police, medical ambulance personnel and police) performance will be simulated under high-pressure situation. Human risk exposure due to interconnected urban infrastructures, underground parking construction site, and mobile network installations will also be simulated and measures for impact management demonstrated.

This case study will explore the risks of cyber attacks that can be implemented during hazardous events. In addition the case study will explore the impacts of such potential attacks.

This case study will explore the knowledge of what could be done better considering the major cognitive biases of both, the vulnerable population and the civil protection authorities. How to reduce the social costs of hazards by attending to special needs of socially fragile groups, e.g., elderly from small rural communities, but also from other population strata.

This case study will explore how mobile data can be used to protect, locate and evacuate tourists.