Artificial Intelligence, Robots, and Agriculture: Social and ethical issues. This project aims to investigate the social and ethical issues raised by the use of artificial intelligence and robotics in agriculture. By combining social science research methods and philosophical analysis, the project aims to generate new knowledge in bioethics and applied ethics. Expected outcomes of this project include an account of the social and ethical issues farmers, rural communities, and consumers anticipat ....Artificial Intelligence, Robots, and Agriculture: Social and ethical issues. This project aims to investigate the social and ethical issues raised by the use of artificial intelligence and robotics in agriculture. By combining social science research methods and philosophical analysis, the project aims to generate new knowledge in bioethics and applied ethics. Expected outcomes of this project include an account of the social and ethical issues farmers, rural communities, and consumers anticipate arising from these technologies, improved understanding of these issues, and an account of how these groups would like to see these issues addressed. This should help Australia benefit from the responsible use of artificial intelligence and robotics in agriculture.Read moreRead less
Putting death in its place. The project aims to link 890,000 population records to place of residence from 1838 to 1930, to examine the relationships between where people live, mortality, life expectancy and health. Where people live impacts their life-course outcomes. Using novel matching techniques, the project expects to identify intergenerational changes and the spatial dynamics of inequality and social mobility. Expected outcomes include the creation of a public resource of linked data and ....Putting death in its place. The project aims to link 890,000 population records to place of residence from 1838 to 1930, to examine the relationships between where people live, mortality, life expectancy and health. Where people live impacts their life-course outcomes. Using novel matching techniques, the project expects to identify intergenerational changes and the spatial dynamics of inequality and social mobility. Expected outcomes include the creation of a public resource of linked data and a better understanding of long-run health and inequality. These should provide economic and social benefits by informing policy aimed at contemporary social and health challenges, enhancing our understanding of Australian history, and developing public resources.Read moreRead less