MAPs: Methods And Primers for Computational Psychiatry and Neuroeconomics

Clinical scientists are often overwhelmed by the complexity of large datasets and the challenges of integrating many types of data within hypothesis-testing frameworks in the pursuit of deep insights into etiology, pathophysiology, and treatment of psychopathologies. The application of recently developed analytic and mathematical modeling approaches to psychiatry, “computational psychiatry” shows promise in addressing these challenges.

However, among entry barriers for those considering computational psychiatry approaches are a relative lack of computational background and perceived difficulties of employing computational tools. This seminar series aims to lower such barriers by providing information about WHY and HOW to use computational psychiatry approaches. Speakers (both experienced and beginners) will present their computational projects; they will also discuss step-by-step instructions of how to start, available supporting resources, and common difficulties and best practices. MAPs is sponsored by the Department of Psychiatry, Yale School of Medicine. Faculty Organizers: Youngsun Cho, Sarah Fineberg, Al Powers, and Helen Pushkarskaya.

The workshop meets monthly on selected Thursdays from 4:00 – 5:00 pm. Due to the COVID-19 pandemic, workshop sessions will be held virtually on Zoom. To receive Zoom information, you must subscribe to the MAPs workshop at this link.