FireDash is an analytical platform that assists firefighter teams in optimizing their resources and people to face the emergencies more efficiently.
To do so, we use time-series modelling and genetic algorithms. We will fine-tune our model by using both historical data sources (weather history of the region, fires that happened over the last years, the tactics applied in those cases, the biodiversity of the region), as well as continuous data (weather condition measurement, traffic estimation) so that the deployment of resources is optimal.
Usage of Standards for data interoperability:
International Data Spaces Association’s (IDSA) IDS Connector.
Smart Data Models, supported by the Smart Data Models Initiative.
FedEHR Anonymizer, which complies with GDPR privacy requirements.