Wellcome Mental Health Data Prize 2022 for early career Researchers
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Application Deadline: 5th June 2022
The Wellcome Data Prize in mental health will support collaborative approaches to research into anxiety and depression in young people. Teams in the UK and South Africa will explore existing data to find new insights and build digital tools that enable future research.
The Prize aims to generate tangible and scalable outputs that support the mental health research community. The overarching question for the Data Prize is:
A key aim of this prize is to build a multidisciplinary mental health data community by bringing together people with mental health research backgrounds and data expertise. By mental health science we mean any discipline that uses evidence in rigorous and transparent ways, whether based on observation or experimentation. This could include:
- disciplines within the humanities, social sciences and computer sciences, among others.
- must be based in the UK or South Africa.
- may be at any career stage but must have a permanent, open-ended or long-term rolling contract, or the guarantee of one for the full duration of the award.
Level of funding:
There are three phases to the prize, each six months long and with different levels of funding and support on offer:
- Discovery phase: 10 teams will be selected to receive £40,000 of funding
- Prototyping phase: 5 teams will be selected to receive £100,000 of funding
- Sustainability phase: £500,000 will be allocated across 3 winning teams
Duration of funding:
There are three phases to the prize, with only a subset of teams from each phase progressing to the next:
1. Discovery Phase (10 teams)
- Participants will be directed to exemplar longitudinal datasets from the UK and South Africa, and can bring their own data where relevant.
- Teams will produce an analysis of existing data to answer a research question.
- Teams will be supported with data acquisition, and refining use cases (further examination of how, why and where the digital tool they develop could be used) as well as lived experience involvement approaches.
2. Prototyping Phase (5 teams)
- Teams will create a prototype of a digital tool, and they will also refine and disseminate their research from the discovery phase.
- Teams will be supported with further developing use cases, lived experience involvement approaches and workshops on agile principles and prototyping.
3. Sustainability Phase (3 teams)
- Support includes data science and product design expertise, support on planning user testing and lived experience involvement approaches and continuous feedback sessions.
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