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Grant Award View - GA28559
Intelligent bibliometrics for tracking and predicting technological...
GA ID:
GA28559
Agency:
Australian Research Council
Approval Date:
27-Nov-2018
Publish Date:
18-Dec-2018
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Jan-2019 to 30-Nov-2022
Original: 1-Jan-2019 to 31-Dec-2021
Value (AUD):
$408,000.00
(GST inclusive where applicable)
Variations:
- GA28559-V3 - Variation to Grant (29-Apr-2022 )
- GA28559-V2 - Variation to Grant (14-Oct-2021 )
- GA28559-V1 - Variation to Grant (2-Aug-2021 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 18/19 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Intelligent bibliometrics for tracking and predicting technological change
Purpose:
This project aims to construct an intelligent bibliometric system to track and predict technological change and recombination from bibliometric streaming data. This project expects to spearhead a new cross-disciplinary direction of research in both bibliometrics and innovation and technology management. Expected outcomes of this project include an intelligent bibliometric system, a technological change tracking method and a dynamic knowledge mapping and prediction method. The project seeks to create a systematic solution for understanding technological change in Australia’s emerging sectors that support governments in developing science policy, and assists researchers to explore frontier research priorities
GO ID:
GO Title:
Discovery Early Career Researcher Award commencing in 2019
Internal Reference ID:
DE19 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:
ULTIMO
Town/City:
ULTIMO
Postcode:
2007
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2007
Country:
AUSTRALIA