Discovery Early Career Researcher Award - Grant ID: DE180101252

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE180101252

Funding Status
Active

Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the .

Funded Activity Summary

Statistical theory and algorithms for joint inference of complex networks. This project aims to address the challenges in jointly modelling complex networks by applying an integrated approach encompassing statistical theory, computation, and applications. The project expects to contribute to core statistical methodology development for complex inference and generate new knowledge in the fields of genomics, neuroscience, and social science through in-depth analyses of large-scale multilayered network data. Expected outcomes include enhanced theoretical and computational frameworks for probabilistic network models to better utilise the power of multiple observations. This should foster international and interdisciplinary collaborations and add significant value to the rapidly progressing field of networks research.

Funded Activity Details

Start Date: 01-01-2018

End Date: 31-12-2023

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $343,450.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Applied Statistics | Statistical Theory | Statistics | Bioinformatics

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Biological Sciences | Expanding Knowledge in the Mathematical Sciences |

Other Keywords

Applied Statistics | Bioinformatics | Expanding Knowledge in the Biological Sciences | Expanding Knowledge in the Mathematical Sciences | Statistical Theory | Statistics

Related Links