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Grant Award View - GA2345-V2
Search strategy optimisation by theory, functional analysis and...
GA ID:
GA2345-V2
Agency:
Australian Research Council
Approval Date:
10-Nov-2017
Variation Publish Date:
26-Jul-2019
Variation Date:
26-Jul-2019
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
12-Jun-2018 to 11-Jun-2021
Value (AUD):
$387,834.00
(GST inclusive where applicable)
Varies:
GA2345
- Search strategy optimisation by theory, functional analysis and simulation
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 17/18 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Search strategy optimisation by theory, functional analysis and simulation
Purpose:
This project aims to develop a novel computational platform, based on mathematical, statistical and physical theory, as well as advanced simulations, enabling the quantitative prediction of the optimal search strategy to be adopted by populations of agents searching for scarce targets in any given environment. This could lead to significant impacts on breakthrough developments in cancer immunotherapy, search and rescue robotics, ecological and environmental management, and developmental biology.
Internal Reference ID:
DP18 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of New South Wales
Recipient ABN:
57 195 873 179
Grant Recipient Location
Suburb:
KENSINGTON
Town/City:
KENSINGTON
Postcode:
2033
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2033
Country:
AUSTRALIA