What we'll do
We’re organising an unconference to enable multidirectional knowledge sharing between members of the Data Science Melbourne community.
Okay, let’s break that down a bit.
An unconference is a participant driven learning space. This means that key elements of the gathering, such as topics, content and structure, are owned by the participants rather than coming top down from the organisers and presenters.
We grow as professionals through experiencing success and failure. From these experiences we gain both wisdom and awareness of what we don’t yet know. Multidirectional knowledge sharing means giving participants the opportunity to both teach and learn, increasing individual and community knowledge through sharing relevant experience.
The unconference will be divided into three sessions with varying levels of structure.
The afternoon will start with a Fishbowl session ( https://en.wikipedia.org/wiki/Fishbowl_(conversation) ). This is a panel discussion with a twist, the panel is made up entirely of audience members. During the discussion, everyone is free to join the panel, but when someone does another member of the panel must leave voluntarily.
Next we’ll run a World Cafe ( https://en.wikipedia.org/wiki/World_caf%C3%A9 ). In this session we’ll break down into small groups (8 - 10 people) and each group will choose their topic. Periodically a few members of each group are rotated and join the discussion at their new group.
We’ll finish the afternoon with a Birds of a Feather ( https://en.wikipedia.org/wiki/Birds_of_a_feather_(computing) )session. In this session participants gather together based on mutual interest in a topic.
Topics for each session will be voted on by the participants before the gathering, so start thinking about what you would like to learn and/or teach.
1:00 - arrive and register
1:30 - 1:45 pm - Introduction
1:45 - 2:30 pm - Fishbowl
2:30 - 2:45 pm - Break
2:45 - 3:30 pm - World Cafe
3:30 - 3:45 pm - Break
3:45 - 4:30 pm - Birds of a Feather
4:30 - Drinks
Numbers are strictly limited to 60 participants, hence there is a nominal fee to secure your place.
Note: Data Science Melbourne receives all attendance fees in connection with the conference. KPMG’s contribution to the conference is pro bono.