Community resilience tech: What does ML/AI mean to users?

This session is facilitated by Eriol Fox, Walter Obadha

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About this session

Dispatcher is a peer to peer community resilience sharing app where people in disaster/incident affected communities can building resilience with every day acts of support, kindness and giving to build a better community that can recover better from extreme incidents such as natural disasters and human made disasters.

We will present key learnings from Dispatcher field research from community in Nairobi & wider global findings.

We would also like to simulate a disaster and the usage of the tool across mozfest to inform the session.

We will then engage with participants on the following topics:
What parts of these learnings are the same/different as your communities?
What parts are familiar from your connections communities?
Can we provide/plan a service using ML/AI to facilitate a community need across country boundaries while keeping people protected in the way they want to be?

Goals of this session

Participants will have added their input about the needs of their communities into the dispatcher project as well as actively using the tool to understand their own responses to the act of sharing for building resilience.