Research Agenda in Intelligent Infrastructure to Enhance Disaster Management, Community Resilience and Public Safety
Michael Dunaway, Robin Murphy, Nalini Venkatasubramanian, Leysia, Palen, and Daniel Lopresti

TL;DR
This paper outlines a research agenda for developing intelligent infrastructure leveraging IoT, sensors, and machine learning to improve disaster management, community resilience, and public safety in increasingly connected societies.
Contribution
It proposes a comprehensive research framework for integrating advanced technologies into infrastructure to enhance safety, resilience, and emergency response capabilities.
Findings
Identifies key technological components for intelligent infrastructure.
Highlights the potential of real-time data and machine learning in disaster response.
Emphasizes strategic planning for future public safety challenges.
Abstract
Modern societies can be understood as the intersection of four interdependent systems: (1) the natural environment of geography, climate and weather; (2) the built environment of cities, engineered systems, and physical infrastructure; (3) the social environment of human populations, communities and socio-economic activities; and (4) an information ecosystem that overlays the other three domains and provides the means for understanding, interacting with, and managing the relationships between the natural, built, and human environments. As the nation and its communities become more connected, networked and technologically sophisticated, new challenges and opportunities arise that demand a rethinking of current approaches to public safety and emergency management. Addressing the current and future challenges requires an equally sophisticated program of research, technology development,…
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Taxonomy
TopicsDisaster Management and Resilience
