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.

The Elbe Flooding Disasters in 2020, 2006 and 2013 with severe impacts on societally disadvantaged people in Dresden city and non-urban neighbourhoods.

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.

Poisonous chemical spill at railway marshalling yard in Tampere, Finland

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.

Cyber Attack Immobilizing the Estonian Government, the Critical Infrastructures and the Society’s Functioning

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.

Reducing Social Cost of Evacuation from Seismic Hazard Locations to Temporary Housing in Safe Areas

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.

Special Needs of Homeless Persons in Washington, D.C. in Disaster
United States

This case study will identify and address special needs of homeless persons in the Washington, D.C Metropolitan Regoin during disaster events

Using Mobile Operators’ Data to Locate, Protect and Evacuate Tourists and Other Vulnerable Groups in Disasters

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