top of page

NODE

for resilient cities

reimagining emergency response 

title-bw.jpg

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

Heather Boesch

Fawwaz Habbal

Jock Herron

Chuck Hoberman

Peter Stark

Collaborative Design Engineering Studio II 

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

Framework.

Node- problem diagram.gif

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.

 

Node components.001.jpeg

Resilient

Smart

Contextual

Node-Solution.gif

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.

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

Node system .jpg
Presentation.020.jpeg
Product_AppHi_AI.png
Product_AppHi_Home.png
Product_AppHi_Overflow.png
Product_AppHi_Volunteer.png


Prototype here

Solution_Desktop-dual.jpg


Caller Triage

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

Contextualizes user's call with personal data

eoc.png


Demo here

The system detects caller's Location automatically

Locate callers precisely

Supports chat/messaging

Accessible by web/phone

Product_Full.jpg
node device dismantled.jpg
Presentation.035.jpeg

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

bottom of page