Mental Health Data Science is scientific discipline at the intersection of mental health, statistics, mathematics and computer science. We apply cutting-edge analysis techniques to big data to try to understand more about psychiatric conditions such as anxiety and depression.

Visit our website to learn more about the work we do and explore some of our videos and resources below.

What is Mental Health Data Science

Professor Andrew McIntosh describes Mental Health Data Science

Mental health & the family

Dr Matthew Iveson explains his big data project examines the transmission of mental health risk or resilience within families.

Identifying the links between physical and mental health

Dr Heather Whally describes her team’s work on linking brain scan data with mental health data, to look for patterns that might help predict long-term outcomes for patients.

Why does depression run in families?

Prof Andrew McIntosh is interested in why depression often runs in families.

Play our game

Have you got what it takes to keep the world of big data in balance?

In the game you are a researcher in charge of a Big Data project. You need to keep Knowledge, Ethics, Money and People in balance by making the right decisions, but be warned, every decision has consequences.

Mental Health Data Science Scotland (MHDSS) is a collaboration between The University of Edinburgh, The University of Glasgow and The University of Aberdeen. It funded by the UK Research and Innovation’s Medical Research Council Pathfinder Scheme and through a Wellcome Trust Strategic Award.