Opportunity Overview
While there is incredible optimism and investment in the potential benefits of ubiquitous, pervasive technology to help redress these conditions, digital health approaches to date have had low impact. This fellowship hypothesises that the lack of broad and sustained uptake of digital health technology is not a fault of the technology per se but with the range of models that inform how these technologies are designed. The current state of the art in digital health tech is (i) targeted at individuals although health practices are significantly influenced by social contexts; (ii) it assumes that given the right data we will make a rational decision to adopt a health practice without taking into account how the rest of our bodies - from our gut to our nervous system - is involved in decision processes (iii) the tools themselves can be antagonistic to rather than supporting of how the body works. E.g. a "smart alarm" that still disrupts sleep rather than finds ways to help us get sleep is antagonistic to our physiology which requires certain amounts of sleep to stay healthy.
While current digital health technologies can and do work for some of the people some of the time, they have not been sufficient to deliver health in the complex contexts in which the UK lives and works. We need to develop better models to inform health tech design. This fellowship proposes to develop...
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Start FreeSolicitation Details
| Issuing agency | EPSRC |
|---|---|
| Country | United Kingdom |
| Category | Research Development |
| Published | October 31, 2020 |
| Procurement stage | Active solicitation |
| Response due | October 29, 2027 |
| Status | Open — accepting responses |
| Official source | View original notice |
| Last verified | August 12, 2026 |
Source: UK Research and Innovation (UKRI) — Open Government Licence v3.0.
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