Current Projects
Marine eco-surveillance tools for Indigenous landowners and environmental regulators
Developing omics-based eco-surveillance tools to improve how we detect and respond to contaminants in marine wildlife and ecosystems.
The future of climate risk reporting: design-led approaches to improving integrity
How might we reconsider the data and information underpinning climate disclosures (and the work required to generate them), to assure robust claim making and integrity of action?
Low conflict pathways to renewable energy: using predictive models to reduce social risk
We are developing new scientific methods to test ways to manage community conflict around new technologies such as offshore wind.
An integrative modelling approach to understanding human responses to hydrogen energy technologies
By developing better statistical models that can help explain and predict human behaviour, we can create a responsible hydrogen industry.
Integrating responsible innovation into the commercialisation of quantum technologies
Australia’s first National Quantum Strategy is underway - how can we ensure it fulfils its commitment to responsible innovation?
Responsible transition pathways for new carbon dioxide removal technologies (CDRs)
Identifying responsible pathways for the development and deployment of novel carbon dioxide removal technologies
Understanding quantum readiness across Australian industry sectors
How ready are Australian industry sectors for the arrival of quantum technologies?
Building resilience through action: modelling public responses to global health challenges
How can societies ‘bounce forward’ and build resilience amid global health challenges?
Mapping the social dynamics of generative AI adoption and use
Designing, developing, and deploying AI ethically, responsibly, and inclusively, requires us to understand the social dynamics that will shape its […]
Understanding trust in collaborative human-AI teams: its importance, formation, and evolution
There is growing interest in how humans and artificial intelligence (AI) can work together in teams that maximise the strengths of each.