Organization: SOS Children's Villages International
- Markus Enenkel, Post-doctoral research scientist at the International Research Institute for Climate and Society, Columbia University; Disaster Risk Management Coordinator, SOS Children’s Villages International
- Andreas Papp, Director of the Global Emergency Response Team, SOS Children’s Villages International
- Daniel Osgood, Team leader of the Financial Instruments Sector Team, International Research Institute for Climate and Society, Columbia University
- Patrick Vinck, Research director, Harvard Humanitarian Initiative; Assistant Professor, Global Health and Population, T.H. Chan Harvard School of Public Health; Emergency Medicine, Harvard Medical School
- Stefan Kienberger, Senior scientist at Z_GIS, Department of Geoinformatics, University of Salzburg
- Miguel Roman, Research scientist in the Terrestrial Information Systems Laboratory at NASA's Goddard Space Flight Center
- Allianz Group, TBC
Date: Monday, May 14, 4:00pm – 5:30pm
Room: Auditorio Bernardo Quintana
Global disaster risk initiatives don’t mean local disaster risk reduction. Big data don’t mean usable information. Early warning doesn’t mean early action.
SOS Children’s Villages International (SOS-CVI) benefits from its presence in 135 countries. The presence in many of the world’s most vulnerable and volatile regions has been established many decades ago, allowing the collaborative development of strategies that focus on community needs. The SOS disaster risk management strategy is based on the paradigm that risk communication requires mutual trust, research-based activities and learning from mistakes. The main goal of SOS-CVI’s global emergency response team is to improve the efficiency of child protection in emergencies. In parallel, the “village as an emergency hub”-concept extends this focus to the community surrounding SOS Children’s Villages. A suite of state-of-the-art technological advancements related to earth observation, the collection of socio-economic risk and vulnerability information and near real-time alerting is currently being developed and tested. A scenario-based case study will be used to showcase the attempt to translate the outdated disaster management cycle into a more efficient risk management strategy that relates disaster-related information to local vulnerabilities and coping capacities.