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Grant Award View - GA142211-V3
Mathematical modelling of information flow in social networks
GA ID:
GA142211-V3
Agency:
Australian Research Council
Approval Date:
11-Dec-2020
Variation Publish Date:
21-Jun-2022
Variation Date:
21-Jun-2022
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
31-Dec-2021 to 31-Dec-2024
Value (AUD):
$390,000.00
(GST inclusive where applicable)
Varies:
GA142211
- Mathematical modelling of information flow in social networks
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 20/21 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Mathematical modelling of information flow in social networks
Purpose:
This proposal aims to develop new mathematical and statistical methods to understand information flow in social networks. By using novel information theoretic techniques, it will create new methods to characterise social information flow in social networks. These tools will allow derivation of fundamental limits of predictability for AI methods applied to digital data. New mathematics of information flow will produce insights into social influence in online social networks. Benefits include: better understanding of how echo chambers may form in social networks, predictive models for how misinformation can spread online such as during an emergency, and a framework for intercomparison of AI methods applied to digital data on individuals.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2021
Internal Reference ID:
DP21 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Adelaide
Recipient ABN:
61 249 878 937
Grant Recipient Location
Suburb:
ADELAIDE
Town/City:
ADELAIDE
Postcode:
5000
State/Territory:
SA
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
SA
Postcode:
5000
Country:
AUSTRALIA