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Data Science

We’re harnessing the power of data science, to illuminate our understanding of mental illness.

Mental health data science has huge potential in the near-term to drive forward research and lead to major improvements in care and treatments.

Which is why we’re taking a leading role in this field – funding a major new award, launching the MQ Data Science Group, and curating a growing list of resources for researchers. 

Funding applications 

Applications for the 2017 MQ Data Science Awards have closed and the funded programmes announced. Find out which data science projects we're funding

Driving forward mental health data science

The MQ Data Science Group

Earlier this year we launched the Mental Health Data Science Group (PDF), bringing together experts from the world of mental health. They’re focused on mapping the data science landscape, championing this field, and finding new ways to improve the availability and use of data for mental health research.

The group have already published a paper in the Lancet Psychiatry, outlining the opportunities and barriers to mental health data science. If you would like to find out more about the group contact our Science team. 

Data science policy development

We've worked with partners in the health research space to support a positive policy environment for data science. Most recently we partnered with the AMRC to promote safe access to health information for research.

Data science resources

We're curating a growing list of data science resources, to highlight the tools available to mental health researchers. If you've got anything to add to the list, just get in touch!

Get involved

There are lots of opportunities to get involved in the programme. Get in touch if you would like to partner with us, or find out more about the Mental Health Data Science Group. 

To keep up to date with the development of this programme sign up to our newsletter below. 

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