Discovery Early Career Researcher Award - Grant ID: DE220100550

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE220100550

Funding Status
Active

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Funded Activity Summary

Prospecting for Australia's Submerged Landscapes through Machine Learning. 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.

Funded Activity Details

Start Date: 01-01-2022

End Date: 31-12-2024

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $443,608.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Maritime Archaeology | Archaeology | Aboriginal and Torres Strait Islander Archaeology |

ANZSRC Socio-Economic Objective (SEO)

Understanding Australia's Past | Conserving Aboriginal and Torres Strait Islander Heritage | Expanding Knowledge in History and Archaeology

Other Keywords

Aboriginal and Torres Strait Islander Archaeology | Archaeology | Conserving Aboriginal and Torres Strait Islander Heritage | Expanding Knowledge in History and Archaeology | Maritime Archaeology | Understanding Australia's Past

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