EENA Conference 2017 session

1. “A data pipeline from the smartphone to 9-1-1”
Lessons from RapidSOS Pilots in the USA
EENA Conference, April 2017
Reinhard Ekl

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Illustrative Example

5. How will this look like in the PSAP?
Does my dispatcher really need all that data?
What additional training will be necessary?
Operations & Training
How is user consent handled?
How is data secured and encrypted?
How is data stored and used?
Privacy & Cybersecurity
Do I have to deal with 1, 2, 3, or 100 apps?
How does this interface with my CAD, etc.?
Does this work on my grandma’s Android 4.1?
Interoperability
Is this free to everyone?
Can we endorse a commercial product?
Do we tell people to use an app instead of calling?
Public Education

6. • Network infrastructure (NG911) & interconnection
(Hint: Funding, Governance, Lack of Incentives)
• User Interface & customer premises equipment
(Hint: There’s many different vendors)
Upgrading systems to be fully
compatible to receive new data
• “Don’t raise the bridge – lower the river”
• Find ways to fit NG911 data into legacy formats:
• Landline-type subscriber data
• Dynamic text-to-speech
Backwards compatible solution
for legacy systems
11/1/2016 09:42:28
(650) 804-0878 VMBL ID= 123
DOE, JOHN – RAPIDSOS MOBILE
1415 ESN 12345
5TH AVE
4TH FLOOR- MEDICAL
SEATTLE WA
CO=RSOS P# (555) 555-5555
X=-122.335592 Y=+47.610100 …

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8. BEACON
LOCATION
MEDICAL
DATA
APPS
LOCATION
MEDICAL
DATA
TEXT PHOTO VIDEO
HOME
SECURITY LOCATION VIDEO VIDEO TEMPERATURE SMOKE
WEARABLES
LOCATION HEART RATE
BLOOD
PRESSURE
GLUCOSE SP02
CONNECTED
CAR LOCATION VIDEO VIDEO AIRBAG SPEED

9. Google Images Search Results for “iPhone Home Screen”

10. • Startups that want to be “The Uber
for 9-1-1” are rarely successful
• Emergency Calling does not lend
itself to “launch and iterate”
• “Public Safety Grade” is tough:
Reliability, Security, Interoperability
• Public Safety Professionals provide
very honest and direct feedback
No, it’s not an easy problemYes, Public Safety wants more data
Location
• X, Y, Z, Uncertainty.
Confidence
• Civic address / indoor
location
A
Additional data
• Medical profile
• ICE contacts
• Saved places
B
Multimedia
• Texting
• Photos & Videos
• Sensor Data (Health,
Auto, Home)
C
Always
Immediately
Always
On-demand
“It depends”

12. Appendix

13. AWARDS
TEAM
Best Mobile Technology
at MIT
Top Innovation of 2015
Best New Venture at Harvard
Business School
Top Technology
for US & China
Venture Incubation
Program
Top 3 – Innovative World
Technologies
Top Start-up at Harvard –
President’s Challenge
Start-Up of the Year
Top Start-Up in
New York City
MEMBERSHIPS
Michael Martin Nick Horelik Henry Katz Regina Jaslow Reinhard Ekl
Significant start-up/VC
experience (44 co’s), HBS
MIT PhD, Oak Ridge &
Argonne National Labs
Lead engineer at 5 start-
ups ($4B+ of exits)
15+ years of start-up
marketing; Wharton
Google, BCG, EMT for 10
yrs; Stanford GSB
Gabe Esparza
Amex, Disney
HBS, Stanford
Top Healthcare
Company

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