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Grant Award View - GA188870-V1
Prospecting for Australia's Submerged Landscapes through Machine...
GA ID:
GA188870-V1
Agency:
Australian Research Council
Approval Date:
9-Sep-2021
Variation Publish Date:
6-Oct-2021
Variation Date:
1-Jan-2022
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Jan-2022 to 31-Dec-2024
Value (AUD):
$443,608.00
(GST inclusive where applicable)
Varies:
GA188870
- Prospecting for Australia's Submerged Landscapes through Machine Learning
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 21/22 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Prospecting for Australia's Submerged Landscapes through Machine Learning
Purpose:
This project aims to apply machine learning to image-based seabed surveys to prospect for submerged Aboriginal archaeological sites, beginning with both of Australia’s only known sites. This will be the first attempt globally to develop a technique to pinpoint potential archaeological material within large area surveys, tagging features which can then be tested through scientific diving. Expected outcomes are workflows that pair machine learning algorithms, marine robotics and scientific diving to greatly enhance prospecting efficiency. This will enhance knowledge and benefit management of these resources on Australia’s continental shelf and beyond, reducing the impacts of offshore industry on cultural heritage.
GO ID:
GO Title:
Discovery Early Career Researcher Award for funding commencing in 2022
Internal Reference ID:
DE22 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Flinders University
Recipient ABN:
65 542 596 200
Grant Recipient Location
Suburb:
BEDFORD PARK
Town/City:
BEDFORD PARK
Postcode:
5042
State/Territory:
SA
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
SA
Postcode:
5042
Country:
AUSTRALIA