Big Data and Population Sciences
Using of novel analytic methods such as machine learning to better understand behaviour and service use.
The analysis and utilization of epidemiological data and big data from sources such as social media and telephony systems, is a growth area.
With the use of novel analytic methods such as machine learning we can create smart algorithms that allow us to better understand behaviour and service use.
Our research also includes the examination of mental health prescription data and links with outcomes such as suicidal behaviour. This theme also includes some of the work conducted within the ESRC-funded, Administrative Data Research Centre. Our expertise from colleagues in the Geography and Environmental Sciences Research Institute provide qualitative and quantitative spatial analysis techniques and Geographic Information Systems (GIS) technologies to analyse the complex spatial relationships that exist between our physical and social environments and mental health.
Our Mental Health researchers also collaborate on data analytics with staff within the newly launched Cognitive Analytics Research Lab (CARL). An exciting programme of work related to Artificial Intelligence and the use of therapeutic chat-bots is being explored as part of the multidisciplinary collaboration.
The activities of the IMHS will further build on and enhance such collaborations.