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Data Science Meeting 2019 agenda

MQ's 2019 Mental Health Data Science Meeting will bring together researchers and innovators to explore how data science can transform how we understand, treat and prevent mental illness.

Date: Monday 9th September, 2019 
Location: Main Hall, St Paul’s and St George’s Church, 46 York Place, Edinburgh EH1 3HP 

09:30   Arrival and registration 

10:00   Welcome and introduction to Slack: Andrew McIntosh, University of Edinburgh, and Eva Woelbert, MQ: Transforming Mental Health 

10:15   MRC Data Pathfinder Session 1
Chair: Eva Woelbert 

10.10 Sue Fletcher-Watson, University of Edinburgh - “Building public confidence in mental health data science” 

10.30 Daniel Smith, University of Glasgow - “Schools Health and Wellbeing Improvement Research Network (SHINE) - building new capacity for mental health research in young people” 

10.50 James Walters, University of Cardiff - “Opportunities and challenges for a mental health platform linking genotypes and phenotypes” 

11.15   Coffee and networking 

11.40   Talk:  Kirstie Whitaker, Alan Turing Institute. “The Turing Way: A handbook for reproducible research”.  Chair: Daniel Smith

12.00   Discussion
Led by Daniel Smith 

12.45   Lunch  

13.45   Talk: Louise Arseneault, ESRC Mental Health Leadership Fellow, and Bridget Bryan, King’s College London.  “A new tool for maximising the take up of mental health measures”. 

14.20    MRC Data Pathfinder Session 2
Chair: Andrew McIntosh, University of Edinburgh 

14.20 Rudolf Cardinal, University of Cambridge - “The medium matters: tools for mental health data capture and clinical research”   

14.40 Robert Stewart, King’s College London - “King’s Pathfinder: Transforming mental healthcare informatics” 

15.00 Ann John, University of Swansea - “Swansea Pathfinder - harmony, links and validation” 

15.20   Afternoon break  

15.45   Plenary Presentation: Cathie Sudlow, Director of HDR-UK Scotland and Chief Scientist UK Biobank 

16.30   Closing summary: Andrew McIntosh

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