Co-creating and sharing validated data during a disaster
How to validate and distribute validated data in a crisis situation?
BUIDL with physical safety experts, firefighters and the Dutch Ministry of Justice & Security, to enable civilians participating in crisis & disaster management. When in a real crisis, both the rescuers on the scene and the public must be fully aware of what they need to do to be safe and help. That’s why access to validated data from the field is critical.
Winning Solution: The Future Firefighters
Validated data-driven decisions to save lives
Emergency responders can have either too little or too much (unfiltered and unvalidated) data in dealing with a disaster. This paradox should be tackled to reduce the possible disastrous consequences of making uninformed decisions under stress.
As the different data sources from which we can get information during an emergency situation are huge, unstructured and most of the times unusable in real-time. How to benefit from all this data and get the most out of it to save lives?
The teams’ solution is an Artificial Intelligence Disaster Advisor (AIDA), which enables rescuers to make faster and better decisions.
The solution integrates all sources of information (e.g. static data such as GIS, Emergency & Risk Plans, 2D & 3D Building Blueprints, Standard Operational Guidelines, Historic or Open Data and real-time data such as cameras, radio, GPS and IoT), processes and simplifies this information. It delivers actionable advice to commanders on what they could do.
Data is passed through the system, which uses machine learning models to filter out the relevant data, distill insights from it and make predictions and suggestions. The routing mechanism makes sure that the right data reaches the right people as soon as possible. Furthermore, the system learns over time and improves itself constantly.