About the project
Health technologies play important roles in earlier prediction of illness and enabling behavioural interventions to help manage conditions in the community. Ecological Momentary Assessment (EMA) provides essential data to these processes. This project will develop more frictionless interfaces to the collection of EMA data to support a range of interventions.
Health technologies play an important role in improving population health through earlier prediction of illness, enabling behavioural interventions to prevent illness and help manage conditions in the community.
To achieve this we must develop technology that measures, monitors and understands disease through data, and identifies when deviations occur within an individual.
Where this takes place outside of a clinical setting, Ecological Momentary Assessments (EMAs) can provide a useful data collection approach that seeks to capture data at optimum moments, both actively and passively.
This project looks to develop novel approaches to EMAs, that facilitate the capturing of a wide range of data through a range of triggering contexts such as time, location, or other contextual factors.
The project will develop frictionless interfaces to data capture to minimise intrusion and maximise engagement with the data collection processes.
The developed tools will be evaluated through behavioural interventions that look to harnessing data analytics to identify at-risk individuals, support just in time intervention, and enable people to stay healthy and avoid medical complications.
Who are we looking for?
- passionate and creative: a driven person ready to tackle challenging problems to improve the health and lives of others, innovate, and aspire to publish at the top of the field
- methodical and resilient: a strong analytical thinker dedicated to systematically approaching problems and questioning the status quo. Resilient in overcoming challenges
- open and curious: an adaptable and communicative person with a desire to continuously learn and work on an interdisciplinary research area.
