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Grant Award View - GA68570-V5
Computational methods for population-size-dependent branching processes
GA ID:
GA68570-V5
Agency:
Australian Research Council
Approval Date:
20-Dec-2019
Variation Publish Date:
27-Mar-2024
Variation Date:
27-Mar-2024
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Oct-2020 to 31-Dec-2024
Value (AUD):
$380,000.00
(GST inclusive where applicable)
Varies:
GA68570
- Computational methods for population-size-dependent branching processes
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Computational methods for population-size-dependent branching processes
Purpose:
Branching processes are the primary mathematical tool used to model populations that evolve randomly in time. Most key results in the theory are derived under the simplifying assumption that individuals reproduce and die independently of each other. However, this assumption fails in most real-life situations, in particular when the environment has limited resources or when the habitat has a restricted capacity. This project aims to develop novel and effective algorithmic techniques and statistical methods for a class of branching processes with dependences. We will use these results to study significant problems in the conservation of endangered island bird populations in Oceania, and to help inform their conservation management.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2020
Internal Reference ID:
DP20 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Melbourne
Recipient ABN:
84 002 705 224
Grant Recipient Location
Suburb:
UNIVERSITY OF MELBOURNE
Town/City:
UNIVERSITY OF MELBOURNE
Postcode:
3010
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3010
Country:
AUSTRALIA