Discovery Projects - Grant ID: DP1092801

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP1092801

Funding Status
Closed

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Funded Activity Summary

The improvement of climate change investigations by developing and applying innovative evolutionary subset time series modelling using semi-parametric sparse-patterned approaches. With an estimated US$6.98 trillion loss indicated in the Stern review, severe climate change will make world climate conditions harsher and more likely include large natural climate disasters. The health of the Australian economy is critically dependent on decisions of environmental managers. However, most problems of complexity arising in climate change involve issues on which we do not possess a deep understanding. This project draws upon a set of inter-disciplinary concepts and models centred in neural networks that enable us to advance our understanding of complexity, leading to superior quantitative tools and models to allow for improved environmental decision-making.

Funded Activity Details

Start Date: 01-2011

End Date: 12-2016

Funding Scheme: Discovery Projects

Funding Amount: $300,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Stochastic Analysis And Modelling | Statistics | Statistical Theory

ANZSRC Socio-Economic Objective (SEO)

Mathematical sciences | Other |

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