Socio-technical Systems
The sociotechnical systems (STS) theme combines research to define, evaluate, and influence the effects of advanced computing on society.
Examples of research undertaken in this theme include:
- Systems that are distributed across different entities and locations;
- Multi-sensor data for prediction of sporting performance or environmental risk;
- Sharing of data to preserve privacy through Federated Learning;
- Large Language Models and other AI methods to support defect detection in software engineering;
- Design and development of novel user interfaces, particularly through Augmented Reality or tangible user interfaces;
- Legal, Ethical, and Responsible uses of AI.
Our research works across discipline boundaries to explore these issues, and we work closely with colleagues who hold joint appointments with Computer Science and Schools of Law, Government and Politics, and Psychology, as well other disciplines across the University.