Mental health data science

Major grants

  • Haworth (PI), 2018-2021, Philip Leverhulme Prize, £100,000, Mental health data science.
  • Haworth & Davis (co-PIs), 2018-2020, £120,845 direct costs, UK Birth Cohorts as a Platform for Ground Truth in Mental Health Data Science. Alan Turing Institute.
  • Haworth & Davis (co-PIs), 2018-2020, £148,848, Using social media linkage for high-resolution longitudinal measurement of mental health. Sub-study, MRC Mental Health Data Pathfinder.
  • MacLeod (PI), 2018-2020, £1.5 million, MRC Mental Health Data Pathfinder Award. Cohorts as platforms for mental health research.
  • Davis (PI), 2018-2019, £103,371, ESRC-CLOSER grant. A framework for linking and sharing social media data for high-resolution longitudinal measurement of mental health across CLOSER cohorts.

Major findings

  • Genetic and environmental influences can change across development, in different environmental contexts and in response to interventions.
  • Mental health and wellbeing have partially distinct genetic and environmental influences.
  • Body Mass Index is a causal risk factor for lower wellbeing.
  • Positive activity interventions can improve mental health and wellbeing, but some people respond better than others.
  • Genetic influences are important for mental health and wellbeing.
  • Genetic factors influence what environments we experience.

People in Mental health data science

Professor Claire Haworth

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