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Dr. Brenda Bannan is a Professor in the Division of Learning Technologies and the Learning Technology Design Research Doctoral Program in the College of Education and Human Development at George Mason University (GMU) in Fairfax, Virginia. | |||
Dr. Bannan’s current work centers on leveraging emerging technologies, learning science, user experience design, design research and human-machine partnerships to inform both the human system and the smart technology system. This reciprocal cycle positions computational systems as intelligent observers with insights from AI-infused and processed sensor-based data typically from Internet of Things (IoT) devices that generate behavioral analytics to inform the human system which then can adapt to take action to promote learning across both systems. Working on these efforts across multiple workforce learning contexts, Dr. Bannan also co-leads the Center for Advancing Human-Machine Partnerships (CAHMP) at GMU that supports transdisciplinary research related to complex human-machine partnerships with automated, artificial intelligence with autonomy striving toward integration of this technology with human systems in the most appropriate, ethical and trusting ways. Her research with an interdisciplinary team has most recently been applied to workforce learning contexts including first responder team-based live simulation training complemented with artificial intelligence instructional support systems as well as supports her current work conceptualizing support for persons with disabilities in leveraging smart building and wearable technology systems. Dr. Bannan is Co-Lead of the National Institute of Standards and Technology, Global City Teams Challenge Public Safety SuperCluster and the author of numerous academic journal articles and book chapters in learning sciences and the instructional design field. She is a National Science Foundation CAREER program awardee and has been invited as a keynote speaker for multiple international and national organization events including The U.S. Networking and Information Technology Research and Development Program (NITRD), the American Associate for the Advancement of Science (AAAS) and the National League of Cities (NLC), among others. | Dr. Bannan’s current work centers on leveraging emerging technologies, learning science, user experience design, design research and human-machine partnerships to inform both the human system and the smart technology system. This reciprocal cycle positions computational systems as intelligent observers with insights from AI-infused and processed sensor-based data typically from Internet of Things (IoT) devices that generate behavioral analytics to inform the human system which then can adapt to take action to promote learning across both systems. Working on these efforts across multiple workforce learning contexts, Dr. Bannan also co-leads the Center for Advancing Human-Machine Partnerships (CAHMP) at GMU that supports transdisciplinary research related to complex human-machine partnerships with automated, artificial intelligence with autonomy striving toward integration of this technology with human systems in the most appropriate, ethical and trusting ways. Her research with an interdisciplinary team has most recently been applied to workforce learning contexts including first responder team-based live simulation training complemented with artificial intelligence instructional support systems as well as supports her current work conceptualizing support for persons with disabilities in leveraging smart building and wearable technology systems. Dr. Bannan is Co-Lead of the National Institute of Standards and Technology, Global City Teams Challenge Public Safety SuperCluster and the author of numerous academic journal articles and book chapters in learning sciences and the instructional design field. She is a National Science Foundation CAREER program awardee and has been invited as a keynote speaker for multiple international and national organization events including The U.S. Networking and Information Technology Research and Development Program (NITRD), the American Associate for the Advancement of Science (AAAS) and the National League of Cities (NLC), among others. | ||
Latest revision as of 16:07, March 15, 2024
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User Name | Bbannan |
| Name | Brenda Bannan | |
| Company | George Mason University | |
| Company Position | Professor | |
| City, State | Fairfax, VA | |
| Country | United States | |
| Sectors | Public Safety | |
| Membership Level | Member |
- Activities
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SMART Emergency Medical and First Response Multiteam Systems | |
SMART Emergency Medical Teams will help inter-disciplinary teams improve transition-of-care quality, promote situational awareness, and enhance the efficacy of simulation debriefing.
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Designing and Implementing a Resilient Smart Public Safety Program | |
| To be successful, a smart city technology solution mus t mature from a pilot that meets research and development goals, to a sustainable system that can be replicated or scaled to provide key capabilities that respond to operational requirements, while driving further innovation in a broader, more responsive ecosystem. The ability for projects to provide expanding impact into multiple areas (with primary and secondary benefits) is a key consideration for technology applications to support S&CC. | ||
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Disaster Recovery | |
| This Focus Area of the Smart Public Safety initiative describes planning considerations for research and development (R&D) to enhance the ability of Smart & Connected Communities to efficiently manage the recovery of community functions and restoration of economic and social stability following regional or large-scale disasters and civil emergencies. | ||
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Emergency Preparedness | |
| This section addresses the integration of traditional public safety and response into the broader scope of overall community preparedness, planning, and response. It deals with the development and coordination of multi-team systems of emergency response agencies with supporting and secondary organizations that interface directly with front-line responders during a disaster or civil emergency. Collectively, these organizations occupy the inner and second circles of Figure 2, and constitute the combined response capability of a community, jurisdiction, or region , and may be augmented by additional resources deployed through Emergency Management Assistance Compacts (EMAC) with adjacent states or jurisdictions or from federal sources, such as FEMA and other agencies. | ||
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Emergency Support Functions | |
| FEMA Emergency Support Functions (ESFs) may be selectively activated for both Stafford Act and non-Stafford Act incidents. Not all incidents requiring Federal support result in the activation of ESFs. For Stafford Act incidents, the National Response Coordination Center (NRCC) or Regional Response Coordination Center (RRCC) may activate specific ESFs or other Federal agencies (OFAs) by directing appropriate departments and agencies to initiate the actions delineated in the ESF Annexes. | ||
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Glossary | |
| Glossary | ||
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Public Safety and Response | |
| This chapter addresses technology requirements definition, development, and deployment among traditional emergency services and first responder agencies—police and fire, EMS, search and rescue, and emergency management, particularly as employed in EOCs. | ||
Dr. Brenda Bannan is a Professor in the Division of Learning Technologies and the Learning Technology Design Research Doctoral Program in the College of Education and Human Development at George Mason University (GMU) in Fairfax, Virginia.
Dr. Bannan’s current work centers on leveraging emerging technologies, learning science, user experience design, design research and human-machine partnerships to inform both the human system and the smart technology system. This reciprocal cycle positions computational systems as intelligent observers with insights from AI-infused and processed sensor-based data typically from Internet of Things (IoT) devices that generate behavioral analytics to inform the human system which then can adapt to take action to promote learning across both systems. Working on these efforts across multiple workforce learning contexts, Dr. Bannan also co-leads the Center for Advancing Human-Machine Partnerships (CAHMP) at GMU that supports transdisciplinary research related to complex human-machine partnerships with automated, artificial intelligence with autonomy striving toward integration of this technology with human systems in the most appropriate, ethical and trusting ways. Her research with an interdisciplinary team has most recently been applied to workforce learning contexts including first responder team-based live simulation training complemented with artificial intelligence instructional support systems as well as supports her current work conceptualizing support for persons with disabilities in leveraging smart building and wearable technology systems. Dr. Bannan is Co-Lead of the National Institute of Standards and Technology, Global City Teams Challenge Public Safety SuperCluster and the author of numerous academic journal articles and book chapters in learning sciences and the instructional design field. She is a National Science Foundation CAREER program awardee and has been invited as a keynote speaker for multiple international and national organization events including The U.S. Networking and Information Technology Research and Development Program (NITRD), the American Associate for the Advancement of Science (AAAS) and the National League of Cities (NLC), among others.