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Thursday, July 13 • 14:00 - 14:30
3025 Emerging Technologies & Community Resilience (ETCR)

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Modernity has increased the complexity of everyday life, exposing ordinary citizens to oftentimes imperceptible social and environmental risk. Integrated technological systems that leverage emerging sensor, computational and communication technologies, though, may allow individuals, organizations and communities to better understand, prepare for, survive and mitigate after micro, mezzo and macro hazardous events. Emerging Technologies & Community Resilience (ETCR) proposes to provide the knowledge, technology and expertise needed to create just this type of integrated system.

ETCR builds upon Sociological Theories of Action, Systems Theory, Information Theory, Computer Mediated Communication, and Social Construction of Technology perspectives as well as a novel theoretical framework, Systems of Accountability, to frame an applied, techno-sociological study of risk & resilience on university campus and their surrounding communities. An Action Research design, meanwhile, extends novel, inclusive and reflexive methodologies for studying complex system risks/hazards, which engages the collaboration of experts, researchers, administrators and community members in three international setting (Utica, NY, Concepcion, Chile and L'Aquila, Italy).

While enhancing/developing new computational, communication and sensor technologies, ETCR identifies/creates and aggregates dynamic social and physical data from various social data and bio-eco sensor sources related to social, health and physical-environmental hazards. These sources energize an automatized algorithm of hazard probabilities, made visual to community members through Virtual (VR) and Augmented (AR) Reality to integrate the operations and maintenance of the three participating smart and connected, international communities.

The project proposes to accomplish these technological improvements and interventions, while considering broader social and cultural perspectives on how community members identify, evaluate, adapt to, and incorporate smart technologies to reduce risk and increase trust among community members. Enhanced data science technologies will provide interdisciplinary, applied collaborations with integrated methodologies to identify, analyze and mitigate dynamic, multi-level risk.

Thursday July 13, 2017 14:00 - 14:30
3rd Floor, Room SR 121, Institut für Computertechnik,TU Wien Gußhausstraße 27-29, 1040 Wien, Austria

Attendees (2)