Woodside is proudly hosting a FutureLab Exchange event, which will see representatives from government, universities and industry brainstorm ideas on how data science can play a role in solving issues facing Western Australia.
Teams will work together on issues across a range of areas such as regional development, emergency services, educational institutes, and electoral enrollment. The focus will be on unlocking innovative solutions using Big Data and through collaborative brainstorming, we hope to identify new opportunities and solutions that would not otherwise be discovered.
Participants will be grouped into teams consisting of government agency representatives (the problem owners), academia, industry contributors and innovators. The event will be hosted on the FutureLab Exchange web application, which is a collaborative tool used to facilitate the communication of ideas.
At the conclusion of the event, a judging panel will select a winning problem based on the identified potential solutions, which will then have the opportunity to be explored in depth through a Woodside FutureLab-hosted DataHack later in the year. Teams of data scientists and subject matter experts will be brought together to help identify and create solutions to the selected problem.
Pre-read material detailing the participating government agencies and the nature of the problems being addressed will be circulated to participants prior to the event.
Friday 6th May 2016: 14:00 – 17:00
Woodside Plaza (240 St George’s Terrance, Perth).
Expressions of interest:
If you would like to be a part of the Woodside FutureLab Exchange, please contact Kerryn Batsioudis (Woodside FutureLab contact) on (08) 9348 6402 or by email email@example.com.
Registrations close Thursday 21st April 2016.
Interested parties will be contacted to confirm selection for the event by Monday, 25 April 2016.
For further information:
- Contact: Kerryn Batsioudis on (08) 9348 6402 or by email firstname.lastname@example.org.
- Details on last year’s Woodside DataHack: Fiona Wood Foundation DataHack