rich-text--full-width-dark

ExploreSA Targets Map

Please see the below targets map from the ExploreSA Challenge. This map does not show all challenge results. All Challenge submission reports, related target datasets and supporting information is accessible via SARIG; to access downloads use the identity tool and select a team on the map to view competition results and data links.

rich-text--full-width

$250,000 Prize Pool

100 + Countries

2,200 + Participants

Pitch Videos

1st Place

Per-Oz

2nd Place

Caldera Analytics

Student Prize

Sparveon

Rock Licker Prize

Jack Maughan

"The outcomes of the competition will demonstrate how data-driven geological approaches can be applied to mineral exploration and benefit the entire industry due to a more sophisticated understanding of the geology of the resource-rich Gawler Craton area of the state’s Far North.

While businesses globally are restricted by the measures adopted to reduce transmission of the virus, the South Australian government has remained focussed on ensuring the state is in the best possible position for economic recovery once this health emergency is over. ExploreSA: The Gawler Challenge is an important facet of this rebound."

Hon Dan van Holst Pellekaan

Minister for Energy and Mining (South Australia)

slides--light-bottom

Competitions May 25, 2020

Data Prep Prize Winners for ExploreSA: The Gawler Challenge Announced

The first winners of ExploreSA: The Gawler Challenge, have been announced, with the four winners of the Data Prep Prize sharing

unearthed-Bill-Gates-and-Richard-Branson-have-their-sights-on-the-mining-sector-holly-bridgwater

Competitions May 27, 2020

Bill Gates and Richard Branson have their sights on the mining sector — and investment opportunities for startups abound

Written by Holly Bridgwater. Originally published in SmartCompany/StartUpSmart Tech giants are on the hunt for investment

data-cleaning-exploration-south-australian-gawler-challenge-unearthed

Competitions April 21, 2020

Machine Learning & Exploration Data: How to overcome common issues during data preparation

Machine learning can be used in mineral exploration as a tool to discover complex patterns in geological data, which helps

ExploreSA Targets Map