Project 10

Project Location: Dutton Park (QLD), Eveleigh (NSW), Clayton (VIC)

Dutton Park (QLD), Eveleigh (NSW) or Clayton (VIC)

Desirable Skills:

Foundational AI, GAN’s, LLM’s

Supervisory project team:

Nikhil Garg, Sarvnaz Karimi, Dan Pagendam, Raymond Cohen, Dhirendra Singh, Geoffrey Lee, Nandini Ramesh, Mahesh Prakash and Simon Dunstall (CSIRO’s Data61) Rebecca Darbyshire (CSIRO’s Agriculture and Food) and David Fleming Munoz (CSIRO’s Environment)

This project engages with external mentors/supervisors from Australian universities as well as from the Turing Institue in the UK. There may also be participation from Geoscience Australia, the Bureau of Meteorology and some institutions from the Indo-Pacific as part of this program.

Contact person:

Project description:

1. This project has the broad aim of using Foundational and Generative AI approaches to transform the ability of systems to inform Climate Adaptation practice. This will be done via the use of LLM’s and GAN’s via three interlinked projects which will have a focus on firstly generating high resolution application specific climate projections data using GAN’s, then using the outputs from these as inputs into either LLM’s that are specifically trained to inform relevant climate adaptation practice from relevant scientific literature or as inputs into another GAN that has a focus on optimizing land use practice under different climate change scenarios.
2. The students will be involved in a) choosing the most appropriate open source projects that could be used to develop the relevant LLM and GAN models b) in choosing the relevant climate adaptation literature for training purposes and c) the relevant input datasets from a climate projections perspective as well as from a land use planning perspective. They will develop novel algorithmic approaches, relevant code as well as publish papers in significantly high impact journals including Nature and Nature Climate Change.
3. This program of projects will be closely linked with large external initiatives that Data61 is involved in in this sector including Climate Services for Ag, the Australian Climate Services, our work in the Indo-Pacific funded by DFAT and the UN as well as our partnership with the Turing Institute in the UK. The students will therefore have ample opportunities to collaborate and network with an international team of experts. Climate Adaptation will be seen with a productivity enhancement lens in this program and therefore is also expected to attract funding from the industry in an agricultural and urban setting. It is crucial that the students have very strong communication skills, are able to work in a diverse and multi-skilled work environment and are respectful of a range of points of view since this is a truly multi-disciplinary program of projects.