MQ and DATAMIND's Data Science meeting - April 2026

About this event

Providing a forum for the mental health data science community to share findings and best practice. The MQ and DATAMIND Data Science Meeting – April 2026 is a one-day forum for the mental health data science community to share insights, innovations and best practice across research, analytics and AI. This meeting brings together researchers, data scientists, industry partners, and practitioners working with or interested in mental health datasets, large-scale data linkage, and advanced analytic approaches. About This April Event AI in Mental Health: From Innovation to Responsible Impact This year’s meeting explores the rapidly evolving role of artificial intelligence in mental health research, from practical applications and methodological innovation to ethical considerations and responsible use. Attendees will hear from experts developing real-world tools, using AI to model patient trajectories, and examining how we can leverage powerful methods while safeguarding data responsibility, transparency, and equity. With talks from: Dr Anna Moore, University of Cambridge - Towards early identification of young people’s mental health problems Consultant Child & Adolescent Psychiatrist, Assistant Professor Child Psychiatry & Medical Informatics, University of Cambridge Dr Zina Ibrahim, King's College London - Patient Trajectories with AI: Sustainable AI-Driven Healthcare Research Senior Lecturer in Artificial Intelligence for Medicine, Department of Biostatistics and Health Informatics, King’s College London Dr Kezhi (Ken) Li, University College London - A Chatbot for Mental Health Screening using Large Language Model From Pet Project to Trial: The Story of HopeBot & AI in Mental Health Screening Associate Professor of AI in Healthcare at UCL Institute of Health Informatics, Director of UCL AI Enabled Healthcare MRes and AI4Health Lab Plus presentations from Early Career Researchers. Panel Discussion Nicholas James – GOSH DRIVE Dr Zina Ibrahim – King’s College London Dr Dan Schofield – NHS England Andrea Hughes – DATAMIND Lived Experience Advisory Group (LEAG) Early Career Researchers Flash Talks The Dermot O’Reilly Memorial Prize for the most innovative science and engaging presentation will be awarded to the winning Early Career Researcher, continuing to honour the contributions of Professor Dermot O’Reilly who pioneered individual level, linked, administrative data research in Northern Ireland.s. Who is this event for? Researchers, practitioners, and professionals interested in mental health data science, including those from academia, healthcare, industry, policy and related fields. About DATAMIND DATAMIND is HDR UK’s Health Data Research Hub for Mental Health. It works to improve mental health research by making rich UK mental health data more findable, accessible, interoperable, and reusable for researchers, policymakers, industry, and the public. The Hub enables researchers and partners to find and use the UK’s rich datasets and health records to advance impactful mental health research. What Do We Mean by Data Science? In this context, data science refers to the use of advanced analytical methods, including statistics, machine learning, artificial intelligence, and data linkage, to generate meaningful insights from data sources — including health records, research cohort, genomics, digital phenotyping, and other real-world data. It combines technical innovation with secure infrastructure and responsible governance to ensure data are used ethically, equitably, and in ways that improve mental health research and care. Important informaiton Lunch will be provided. If you have any dietary requirements please let us know in advance. Please note, this year there is no discount for attending both the meeting and the ECR workshop which takes place the day before.

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