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Research events

We hold several events throughout the year for the mental health research community which aim to champion mental health science across disciplines. Find out more about upcoming and past events below.

Upcoming events:

MQ Mental Health Data Science Meeting 2020

Due to the current pandemic, our data science meetings will be held online. Our next Data Science Meeting is on 4th December. More details to follow soon. 

Past events:

Mental Health Science Meeting 2019

2019’s meeting focused on ‘Transforming mental health throughout the life course’, with symposia looking at loneliness, the intersection of physical and mental health, tracking mental health trajectories, and suicide and self-harm.

You can find the full agenda here, read the live blog of the entire 2-day meeting here, watch the live-stream of the panel discussion here, and find the speaker’s presentations below: 

  • Symposium 2: “Tracking the life-long effects of mental illness”
    • Bill Fulford, University of Oxford – “Montgomery and mental health: shared decision-making based on evidence and values”
    • Rogier Kievit, University of Cambridge – “It’s about time: Understanding how mental health changes”
    • Jessica Agnew-Blais, King’s College London – “Understanding the course of ADHD across the lifespan: the importance of longitudinal cohorts”
    • Philip Shaw, National Institutes of Health (NIH) – “Understanding the different adult outcomes of childhood ADHD”
  • Keynote 2: Michael Ungar, Dalhousie University – “Diagnosing resilience: A multisystemic model for positive development in stressed environments”
  • Rapid-fire talks
    • Shana Silverstein, National Institute of Mental Health & University College London – “Observational fear learning: from mouse to man”
    • Hjördis Lorenz, University of Oxford – “Let the CAT out of the bag: A new measure to assess concrete and abstract thinking (CAT)”
    • Joshua Buckman, University College London – “The Stratified Medicine Approaches for Treatment Selection (SMART) Mental Health Prediction Tournament”
    • Alexandra Schmidt, University of Sussex – “Physical activity and depression: Do the beneficial effects extend to individuals with adverse childhood experiences (ACEs)?”
    • Radhika Kandaswamy, King’s College London – “DNA methylome marks of exposure to psychosocial stress during adolescence: Analysis of a novel longitudinal MZ discordant twin study”
    • Sophie Li, University of New South Wales – “Are women’s catastrophic beliefs ovary-actions? Progesterone levels predict reductions in phobic avoidance following cognitive restructuring in women with spider phobia.”

Annual Science Meeting 2016

This meeting focused on major challenges in mental health, covering everything from childhood mental health to the inner workings of the brain. Researchers and policy makers also discussed a range of conditions, from depression to schizophrenia. You can find a summary of the meeting here.

Data Science Meeting 2018

This meeting brought together researchers and innovators to explore how data science can transform how we understand, treat and prevent mental illness. Participants discussed how we can use all types of data such as health and administrative data, naturalistic data (eg information collected from social media and wearable devices), as well as large research datasets and cutting edge analytical tools, to transform mental health. You can view the full agenda here, and see our summary of learnings from the meeting here.


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