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Grant Award View - GA28519-V2

Faithful Visual Analytics: models, metrics and algorithms

Contact Details

ARC NCGP General Enquiries

Phone:
02 6281 6600

Email Address:

GA ID:
GA28519-V2
Agency:
Australian Research Council
Approval Date:
27-Nov-2018
Variation Publish Date:
4-Jun-2019
Variation Date:
19-Jun-2019
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
19-Jun-2019 to 18-Jun-2022
Value (AUD):
$420,000.00 (GST inclusive where applicable)
Varies:
GA28519 - Faithful Visual Analytics: models, metrics and algorithms

Ad hoc/One-off:
No
Aggregate Grant Award:
No

PBS Program Name:
ARC 18/19 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Faithful Visual Analytics: models, metrics and algorithms
Purpose:
This project aims to deliver new models, metrics and algorithms for Faithful Visual Analytics of complex data. For a purported visual representation of some data, "faithfulness" measures how accurately the visual representation describes the data. This project will develop new models for Faithful Visual Analytics, design new faithfulness metrics for faithful visual analytics of complex networks, design new algorithms to compute faithful visualisations, and evaluate using real world social network and biological network data sets. The new models, metrics and algorithms produced by this project will be used in the next generation Visual Analytic tools to enable analysts develop accurate insights and new knowledge of complex data.

GO ID:
GO Title:
Discovery Projects commencing in 2019
Internal Reference ID:
DP19 Round 1
Selection Process:
Targeted or Restricted Competitive

Confidentiality - Contract:
No
Confidentiality - Outputs:
No

Grant Recipient Details

Recipient Name:
The University of Sydney
Recipient ABN:
15 211 513 464

Grant Recipient Location

Suburb:
SYDNEY
Town/City:
SYDNEY
Postcode:
2000
State/Territory:
NSW
Country:
AUSTRALIA

Grant Delivery Location

State/Territory:
NSW
Postcode:
2000
Country:
AUSTRALIA

Contact Details

ARC NCGP General Enquiries

Phone:
02 6281 6600

Email Address: