Exodus

2. Kian Katanforoosh MS MS&E + CS
Jenna Nicholas
Duncan Turnbull
Berk Çoker
Katie Joseff
MBA2
MS Computer Science
MBA2
BS Human Biology

3. 11
7INTERVIEW
S
COMPLETE
TEAM:
Katie Joseff
Berk Coker
Duncan Turnbull
Jenna Nicholas
Kian Katanforoosh
SPONSOR:
Allison Listerman
Bureau of Population,
Refugees, Migration
Original Problem:
The current information sharing mechanisms fail to
encompass the full breath of the humanitarian
assistance on the ground and facilitate the entry of
new individual and organizational actors.
Current Problem:
Refugees are not getting the information they need
and they do not have a trusted source of information
that is easily accessible.

4. Our journey
The Contact Inventory Node Map One-sided platform
Two-sided platform
Smart Matching
with decision tree
Chat-based intelligent
virtual assistant
How did it started ?

5. What is coordination?

6. MVP 1 : List of contacts
The Contact Inventory
General feedback: “Not user friendly”
First Hypothesis:
To coordinate, people
need to be aware of
other stakeholders on
the Syrian Refugee
Crisis
Foreign Service Officers: “no link showing relations”

7. Observation and Feedback from Private Sector:
“Some isolated clusters!”

8. MVP Story
listings
two-sided
connecting people
VP Charity : “Can you match us automatically ?”
Second Hypothesis:
Companies want to help but don’t know
how to.

9. Companies are lazy

10. MVP 3: the decision tree
Record Data Smart MatchingFilter and Search
“Have you heard of TechSoup ?”
How it works
“Have you heard of Tent ?”

11. Key Pivot
Private sector Refugees
The needs based on feedbacks
Trusted Information
Publicly Easily
Accessible
Mobile OrientedInformation SharingCrowd-Sourced
Knowledge Database
Chat-based
Assistant
Final Hypothesis:
There is no centralized trusted information database accessible for refugees
Organisations are failing at reaching massive numbers of refugees

12. Mission Model Canvas

13. Final MVP: chat-based intelligent virtual assistant
Facebook Messenger Telegram
“We want to work on that with you” (UHNCR)
“That’s exactly what I need” (Refugee)

14. MVP
« I need clothes »
« You can find donated clothes it here »
« I don’t know… but I know
who to ask! I’ll be right back »
How the MVP works
« Sure, here is a map of where
refugee can find donated clothes »
Chatbot gets smarter with each user
Refugee
Knowledge Base
« You can find donated clothes it here »

15. Buy-in and Support
Syrian refugees arrive in Istanbul, Turkey
Partner with an established organization
Where do we
go? How do
we get food?
Localized Facebook
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16. Key Partners
UNHCR: “we would like to work with you on a chatbot”

18. Next steps
hand in hand
with UNHCR
Continue building
the technology
Give it to more refugees Stay LEAN

19. Team Exodus
“Thank you for your attention”