Enhancing ClimRisk: using machine learning to better predict systemic social risks from climate change
Beyond the physical and economic consequences of our changing climate, researchers are developing new ways to account for systemic, cascading risks such as geo-political unrest.
Advancing a responsible space exploration strategy for Australia
We need an understanding of the key questions being asked by Australian space science experts, as well as new methods to collect and analyse knowledge in ways that are rigorous, robust and repeatable.
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 management around new technologies such as offshore wind.
Mitigating ethical risks in the development of artificial intelligence tools for intensive care settings
AI-powered tools hold great potential, but clinicians must be able to trust the explanations that AI gives for its results.
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?
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 […]