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Grant Award View - GA215872

Deep learning model for identifying and assessing poor market disclosure

Contact Details

Grants Reporting Manager

:

GA ID:
GA215872
Agency:
Department of Industry, Science and Resources
Approval Date:
6-Oct-2021
Publish Date:
31-Jan-2022
Category:
Industry Innovation
Grant Term:
25-Jan-2022 to 7-Oct-2022
Value (AUD):
$110,000.00 (GST inclusive where applicable)

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

PBS Program Name:
DISR 21/22 Investing in science, technology and commercialisation
Grant Program:
Business Research and Innovation Initiative
Grant Activity:
Deep learning model for identifying and assessing poor market disclosure
Purpose:
This project will test the technical feasibility of a new deep learning model for identifying and assessing poor market disclosure, as well as the commercial feasibility of new products for customers other than ASIC, that may be derived from the new model, its outputs and associated functionality. Technical feasibility will focus on the development of a supervised machine learning model, in collaboration with industry experts to drive the factors associated with the model and annotation of training data. Commercial feasibility will focus on the design and delivery of products for listed companies to reduce regulatory compliance effort, as well as helping them remain up-to-date with the technologies used by the investment community.

GO ID:
GO Title:
Business Research and Innovation Initiative (BRII) – Regulatory Technology
Internal Reference ID:
BRIIRTF000121
Selection Process:
Open Competitive

Confidentiality - Contract:
No
Confidentiality - Outputs:
No

Grant Recipient Details

Recipient Name:
LISTCORP PTY LTD
Recipient ABN:
60 166 140 307

Grant Recipient Location

Suburb:
RICHMOND
Town/City:
RICHMOND
Postcode:
3121
State/Territory:
VIC
Country:
AUSTRALIA

Grant Delivery Location

State/Territory:
VIC
Postcode:
3121
Country:
AUSTRALIA

Contact Details

Grants Reporting Manager

: