Causal Inference for Population Mental Health

This hybrid symposium will serve as the official launch day for our event collaborator, the Population Mental Health Lab at Harvard T.H. Chan School of Public Health.

“Causal Inference for Population Mental Health” will explore the various causal challenges facing mental health researchers and practitioners. Lectures will position common mental health disorders (PTSD, ADHD, Depression & more) as case studies to answer the question: how can we apply our understanding of mental health into actionable interventions that benefit entire communities?

Featured speakers: Magda Cerda (NYU Langone Health), Andrea Danese (King’s College London), Jaimie Gradus (Boston University School of Public Health), Katherine Keyes (Columbia University Mailman School of Public Health), Karestan Koenen (Harvard T.H. Chan School of Public Health) & Henning Tiemeier (Harvard T.H. Chan School of Public Health).

Event information including directions and building access will be sent directly to registered in-person attendees in the weeks leading up to the event.

Zoom link will be distributed to all virtual attendees the week leading up to the event.

Additional information: https://causalab.sph.harvard.edu/symposia/

Speakers’ remarks are based on their own scholarship and experience. As such, they speak for themselves, not for Harvard.

Host or Publisher the CAUSALab at Harvard T.H. Chan