Featured in this issue: Editor’s Note: Preparing for the Future of Artificial Intelligence, by Catherine L. Feinman; Emergency Management of Tomorrow: Emerging Technologies and Concepts, by Dan Cotter, Christina Bapst-Stump, Ann Lesperance, and Rachel A. Bartholomew; The Role of AI in Meeting a Great Emergency Management Challenge, by Douglas Yeung and Aaron Clark-Ginsberg; Opportunities for Artificial Intelligence in Emergency Management, by Alex Hagen and Jonathan (Jon) Barr; Introducing AI to the Emergency Management Workforce: A Case Study, by Lenora G. Borchardt; A Data-Driven Approach to Police Recruitment and Retention, by Glenn Fueston and Michael Breslin; From Today to Tomorrow: The Emergency Operations Center of the Future, by Nick Betzsold and Grant Tietje; Protecting Critical Infrastructure From Weaponized Drones, by David Winks, Steve Chill, Frederick Ferrer, Michael “Apollo” Lovell, Mike Swearingen, and Mary Lasky; Advisory Board Spotlight Interview With Caroline Agarabi
From the rise of advanced criminal networks and borderless crimes to the persistent hurdles of limited resources, inadequate training, and outdated tools, law enforcement departments navigate an increasingly demanding landscape. Big data and artificial intelligence can help build and maintain this critical public safety workforce.
AI’s ability to ingest and synthesize data on hazards and vulnerabilities could prove invaluable in addressing one of the biggest long-standing challenges of emergency management: truly engaging the whole community.
AI’s ability to ingest and synthesize data on hazards and vulnerabilities could prove invaluable in addressing one of the biggest long-standing challenges of emergency management: truly engaging the whole community.
AI’s ability to ingest and synthesize data on hazards and vulnerabilities could prove invaluable in addressing one of the biggest long-standing challenges of emergency management: truly engaging the whole community.
The December 2024 edition of the Domestic Preparedness Journal provides insight into the intersection of AI and emergency preparedness. With their exponentially increasing speed of development, existing, emerging, and not-yet-created technologies must all be part of the planning process in 2025 and beyond.
This is an article by Alex Hagen and Jon Barr, an Article Out Loud from Domestic Preparedness, December 18, 2024. Recent research into the relationship between AI and emergency management uncovered an environment prepared for AI-based solutions. While AI must overcome some infrastructure hurdles, technologies to prevent, mitigate, and recover from emergencies are on the horizon. Learn how much research is connecting challenges with AI solutions and how the next generation is ushering them in.
AI can contribute to professional competency and learners’ success while efficiently training emergency management professionals and managing the bottom line.
This is an article by Lenora G. Borchardt, an Article Out Loud from Domestic Preparedness, December 18, 2024. AI can contribute to professional competency and learners’ success while efficiently training emergency management professionals and managing the bottom line. Learn how AI can create competency and outcomes-based learning tailored to each learner’s unique needs and learning style preferences while being more efficient for the learner and their employer.
Recent research into the relationship between AI and emergency management uncovered an environment prepared for AI-based solutions. While AI must overcome some infrastructure hurdles, technologies to prevent, mitigate, and recover from emergencies are on the horizon.
Featured in this issue: Editor’s Note: Preparing for the Future of Artificial Intelligence, by Catherine L. Feinman; Emergency Management of Tomorrow: Emerging Technologies and Concepts, by Dan Cotter, Christina Bapst-Stump, Ann Lesperance, and Rachel A. Bartholomew; The Role of AI in Meeting a Great Emergency Management Challenge, by Douglas Yeung and Aaron Clark-Ginsberg; Opportunities for Artificial Intelligence in Emergency Management, by Alex Hagen and Jonathan (Jon) Barr; Introducing AI to the Emergency Management Workforce: A Case Study, by Lenora G. Borchardt; A Data-Driven Approach to Police Recruitment and Retention, by Glenn Fueston and Michael Breslin; From Today to Tomorrow: The Emergency Operations Center of the Future, by Nick Betzsold and Grant Tietje; Protecting Critical Infrastructure From Weaponized Drones, by David Winks, Steve Chill, Frederick Ferrer, Michael “Apollo” Lovell, Mike Swearingen, and Mary Lasky; Advisory Board Spotlight Interview With Caroline Agarabi 
From the rise of advanced criminal networks and borderless crimes to the persistent hurdles of limited resources, inadequate training, and outdated tools, law enforcement departments navigate an increasingly demanding landscape. Big data and artificial intelligence can help build and maintain this critical public safety workforce. 
AI’s ability to ingest and synthesize data on hazards and vulnerabilities could prove invaluable in addressing one of the biggest long-standing challenges of emergency management: truly engaging the whole community. 
AI’s ability to ingest and synthesize data on hazards and vulnerabilities could prove invaluable in addressing one of the biggest long-standing challenges of emergency management: truly engaging the whole community. 
The December 2024 edition of the Domestic Preparedness Journal provides insight into the intersection of AI and emergency preparedness. With their exponentially increasing speed of development, existing, emerging, and not-yet-created technologies must all be part of the planning process in 2025 and beyond. 
AI can contribute to professional competency and learners’ success while efficiently training emergency management professionals and managing the bottom line. 
Recent research into the relationship between AI and emergency management uncovered an environment prepared for AI-based solutions. While AI must overcome some infrastructure hurdles, technologies to prevent, mitigate, and recover from emergencies are on the horizon. 