PhD students and junior researchers from a variety of disciplines (e.g. behavioural science, computer science, engineering, human-computer interaction) will be exposed to relevant topics such as how to:
- Apply evidence and theory in development and evaluation;
- Engage users, without which the most impressive technologies will be of little use;
- Evaluate the quality and ethics of products;
- Implement digital technologies at scale to maximise their potential in improving global health.
Deadline to apply is 5 March 2018.
PreventIT (running from 2016 until the end of 2018) is working on an ICT based mHealth System (iPAS) for the consumer market that:
- Enables early identification of risk of age-related functional decline;
- Engenders behavioural change in seniors in order to adopt a healthy, active lifestyle.
The project will use an integrated system of a smartphone and smartwatch as frontend technology, and a protected cloud-based solution for handling personal data as backend technology.
The researchers will develop online instruments for risk-screening, complexity metrics, motivation for behavioural change, and a method for personalised exercise by phenotype, based on currently available big data sets.
You can find more information on the PreventIT website.