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Grant Award View - GA59775-V1
Deep Interaction Learning in Unlabelled Big Data and Complex Systems
GA ID:
GA59775-V1
Agency:
Australian Research Council
Approval Date:
17-Oct-2019
Variation Publish Date:
23-Jun-2020
Variation Date:
23-Jun-2020
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Jun-2020 to 31-May-2024
Value (AUD):
$1,014,000.00
(GST inclusive where applicable)
Varies:
GA59775
- Deep Interaction Learning in Unlabelled Big Data and Complex Systems
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 19/20 Discovery
Grant Program:
ARC Future Fellowships
Grant Activity:
Deep Interaction Learning in Unlabelled Big Data and Complex Systems
Purpose:
This project aims to effectively model intricate interactions deeply embedded in unlabelled big data and complex systems, which are often hierarchical, heterogeneous, contextual, dynamic or even contrastive. Learning such interactions is the keystone of robust data science and for realizing the value of big data but it poses significant challenges and knowledge gaps to existing data analytics and learning systems. The expected outcomes include new-generation theories and methods for the unsupervised learning of complex interactions in real-life big data, which are anticipated to enable the intrinsic processing of big data complexities and substantially enhance Australia’s leadership in frontier data science research and applications.
GO ID:
GO Title:
Future Fellowships for funding commencing in 2019
Internal Reference ID:
FT19 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
University of Technology Sydney
Recipient ABN:
77 257 686 961
Grant Recipient Location
Suburb:
MACQUARIE UNIVERSITY
Town/City:
MACQUARIE UNIVERSITY
Postcode:
2109
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2109
Country:
AUSTRALIA