The Department of Homeland Security’s (DHS) Science & Technology Directorate’s (S&T) Data Analytics Engine is teaming up with local firefighters and Federal Emergency Management Agency’s US Fire Administration’s National Fire Program Division to analyze data to help inform future firefighting efforts.
Data Analytics can not only be used to help predict instances of future fires, but it also looks at trends with equipment failures and fire frequency, causes and spread, all in an effort to reduce fire burden.
“By analyzing existing fire incident data to identify lessons learned from serious fire, EMS and wildland incidents, firefighters can project future fires, reduce the causes and nature of injuries and increase inspections in those areas,” DHS said Friday.
With “Over 60 pounds of gear and countless hours of training help support our nation’s firefighters, timely and accurate situational awareness or ‘scene size up’ remains a challenge on every call,” DHS said. “How does data analytics enable decision makers and first responders, especially firefighters? By identifying trends and patterns not only of the fires themselves, but in the type of building, time of year and general area of previous fires, firefighters can better protect themselves and communities.
Interested? Want to learn more?
Please join @dhsscitech! and S&T’s local firefighting partners on Wednesday June 17 from 1 to 2 pm EST for a lively Twitter discussion on how S&T is working with the US Fire Administration and the National Fire Program Division to collect the data that will help our first responders.
Submit your questions and comments before, during or after the chat and use the #STTechTalk hashtag to engage in the two-way discussion.
