Crowdsourcing public safety: Building community resilience by enhancing citizen situation awareness capability

Presenter: Martin Dias

Research Category:

The world is complex and public safety professionals are not fully able to overcome the myriad crises resulting from natural disasters, terror attacks, industrial accidents, and large-scale organized crime incidents. On the one hand, public safety agencies require assistance from private citizens in terms of surveillance, incident response (e.g., evacuation, relief resources distribution), and recovery. On the other hand, the vast majority of private citizens are ill-equipped to efficiently and effectively perform situation awareness – perceiving environmental conditions and determining the appropriate response procedure given those conditions. A series of studies is proposed to specify and examine design and implementation principles for information systems that more efficiently and effectively engage citizens to enable the crowdsourcing of public safety.  By conducting this research we expect to contribute to public safety data sharing and collaboration knowledge by prescribing design, implementation and use principles for information systems that enhance sense making and decision making in crises. Researchers studying public safety data sharing and collaboration, community resilience, or crisis response and management will provide valuable design and implement principles regarding to improve how individuals (network nodes) process and disseminate information before, during, and after crisis situations. The benefits will accrue not only for community-level sustainability, but also situation awareness for first responders and local, tribal, state, and federal agencies responsible for public safety.