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NODE

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for resilient cities

reimagining emergency response 

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Overview.

Node is a smart, comprehensive emergency response system built on resilient wireless routers and leveraging community engagement to reimagine the future of urban disaster preparedness.


Team


Advisors

Berto Ceballos

Jenny Fan

Carla Saad

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Heather Boesch

Fawwaz Habbal

Jock Herron

Chuck Hoberman

Peter Stark

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Collaborative Design Engineering Studio II 

Harvard Graduate School of Design + School of Engineering & Applied Sciences

Framework.

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The Problem


Natural disasters and other large-scale emergencies are impacting city-dwellers more than ever. When these situations arise, official 911 emergency operation centers (EOCs) play a critical role in communicating and coordinating relief efforts and medical assistance. Despite this, EOCs rely on aging infrastructure built in the 1960s, a world with landlines, printed manuals, and radiofrequency communication, but no mobile phones, cloud databases, or Internet Protocol-based communication.

From Hurricane Harvey to Irma to Maria, cities are not equipped to deal with the scale of disaster response required by recent 21st-century storms. When official services like local police and FEMA (the US Federal Emergency Management Agency) are overwhelmed, civilians rely on neighbors and spontaneously organized groups like the Cajun Navy, which consists entirely of volunteer dispatchers and boat rescuers. But, the paradox of emergent groups is they cannot scale from the bottom-up without eventually compromising in effectiveness or safety, while official top-down services have difficulties reaching the victims on the ground efficiently.

 

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Resilient

Smart

Contextual

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The solution


Node is a smart, comprehensive emergency response system built on resilient wireless routers and leveraging community engagement to reimagine the future of urban disaster preparedness.

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A distress call app transmits relevant data about a
caller’s location, medical history, and urgency.

 

An AI agent triages for first responders or nearby volunteers depending on system load. In cases of extreme infrastructure damage, users can also connect to the LoRaWAN-based wireless mesh network nodes for backup connectivity

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Prototype here

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Caller Triage

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Supports dispatchers with
AI voice interface to triage
and filter out low-urgency calls

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Contextualizes user's call with personal data

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Demo here

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The system detects caller's Location automatically

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Locate callers precisely

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Supports chat/messaging

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Accessible by web/phone

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Key Takeaways 

 

  1. Conducting thorough heuristic research and interviewing stakeholders help construct the story and   understand the problem.  
     

  2. Designing a solution for a complex problem might involve combining multiple technologies to construct a holistic resilient system.

EEG Decisions

Visualizing decision-making under uncertainty

Flux

Reimagining the passenger experience at security in airports

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