The Creativity theme researches how generative AI is transforming creative processes and reshaping notions of authorship and ownership, while also working to enable transdisciplinary inquiry through the use of creative methods to push the boundaries of data science and AI research.
The Environment theme aims to develop new understanding and innovative solutions to the dual crises of climate change and biodiversity loss, which are inextricably linked. This time-critical mission requires close cross-disciplinary collaboration between ecologists, environmental scientists, computer sciences, statisticians, social scientists, and many others.
The Foundations theme covers the three main areas of data science, operational research, computer science and statistics. It blends the skills of researchers in these areas, to address challenges arising from industry and research.
The Health theme covers several areas of health, data science and AI from across the university, including biomedical, digital health technologies, health economics, medical imaging and health-related security, among many other areas.
The Integrity theme explores how societies can build trust, transparency, justice, fairness, accountability, and resilience in an era where AI and data-driven technologies evolve faster than the ethical processes, governance structures, and safeguarding interventions meant to oversee them.
