We’re pleased to announce our new Data Science awards, with a total of £200,000 funding for four innovative new research projects.
From identifying suicide warning signs in schools to creating new ways of getting the right treatment to the right person – these projects have huge potential for driving forward progress in our understanding and treatment of mental illness.
The projects are:
Understanding suicide warning signs in children
Dr Rina Dutta at Kings College London is looking to establish if factors in schools can predict suicidal behaviours.
Matching people to the best psychological treatment option in the NHS
Dr Robert Derubeis and Zachary Cohen at University of Pennsylvania are creating a tool which can predict the best intervention for someone using the Improving Access To Psychological Therapies (IAPT) programme.
Getting mental health treatments right for each young person
Professor Miranda Wolpert at University College London is investigating the different factors that could impact how successful treatments are for young people.
Increasing life expectancy in schizophrenia
Dr James Walters, at Cardiff University is looking at how genetics factors can impact the physical health of people with schizophrenia, and how we can use that information to create more targeted treatments and interventions.
These are the first awards from programme dedicated solely to data science, which aims to support pioneering research into mental health, whilst also expanding the use of data resources for research and developing the skills base in this complex field.
Dr Sophie Dix, Director of Research at MQ, commented:
“We’re proud to be championing and investing in promising data science research. These four innovative projects demonstrate the incredible power that research can have to make progress within our understanding, care and treatments for mental illness. By harnessing data with ground-breaking methods, these projects have the opportunity to create near-term benefits for people with a mental illness.”
Last updated: 4 July 2017