DATAMIND is pleased to be collaborating with MQ Mental Health Research on this one-day Data Science Meeting, providing a forum for the mental health data science community to share findings and best practice.
This meeting brings together researchers and stakeholders using health data for mental health research, including those working with administrative datasets, novel analytic techniques, or AI.
With talks from:
- Professor Andrew McIntosh – Chair of Biological Psychiatry, University of Edinburgh
- Professor Honghan Wu – University of Glasgow
Talk: Predicting anxiety and depression in people with type 2 diabetes: deep learning approaches on multimodal regional health records in China - Dr Elizabeth Ford – Brighton and Sussex Medical School
Talk: Ethical issues around using AI in mental health care
Panel discussion:
Stakeholders’ Perspectives on Challenges and Opportunities in NLP, featuring:
- Angus Roberts
- Jan Speechley
- Elizabeth Ford
- Honghan Wu
- Jayesh Shah (details to follow)
- Brendan Delaney (details to follow)
There will also be presentations from early career researchers.
We will also be awarding the Dermot O’Reilly Memorial Prize for the most innovative and engaging early career presentation.
Discount available when you attend both this event and the MQ Data Science Workshop the following day. You’ll receive a discount code after registering.
Lunch will be provided. Please let us know in advance if you have any dietary requirements.
Photo ID may be required for venue access.
👉 Click here to register and view full event details on Eventbrite
