Mental health data science
- 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.
- 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.