Discovery Early Career Researcher Award - Grant ID: DE210101624

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE210101624

Funding Status
Active

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Funded Activity Summary

Causal Discovery from Unstructured Data. This Project aims to enable machines to discover causal relations from various kinds of unstructured data, such as images, text files, and sensor data. The project expects to promote causal revolution of data-centric intelligence and science – construct machines that can communicate in the language of cause and effect and answer ‘why’ questions by inferring from unstructured data. Expected outcomes of this project include theoretical foundations for causal discovery from unstructured data and practical algorithms that drive intelligent machines to make rational decisions in real-world scenarios. This should benefit society and the economy nationally and internationally through the applications of artificial intelligence and data science.

Funded Activity Details

Start Date: 01-02-2021

End Date: 10-05-2024

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $410,775.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Computer Vision | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Information Processing Services (incl. Data Entry and Capture) | Expanding Knowledge in the Medical and Health Sciences |

Other Keywords

Artificial Intelligence and Image Processing | Computer Vision | Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Medical and Health Sciences | Information Processing Services (incl. Data Entry and Capture) | Pattern Recognition and Data Mining

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